101
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Continuous-Wave Coherent Raman Spectroscopy via Plasmonic Enhancement. Sci Rep 2019; 9:12092. [PMID: 31431666 PMCID: PMC6702195 DOI: 10.1038/s41598-019-48573-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Accepted: 08/08/2019] [Indexed: 11/27/2022] Open
Abstract
In this paper, we report a successful combination of stimulated Raman spectroscopy (SRS) and surface-enhanced Raman scattering (SERS) using cw laser sources and gold/silica nanoparticles with embedded reporter molecules. We describe the preparation method for our gold/silica nanoparticles as well as the effect of probe wavelength, pump and probe power, polarization and sample concentration on the cwSESRS signal. Altogether, a stable ~12 orders of magnitude enhancement in the stimulated Raman signal is achieved because of the amplification of both pump and probe beams, leading to the detection of pico-molar nanoparticle concentrations, comparable to those of SERS. The coherent Raman spectra matches the incoherent conventional Raman spectra of the reporter molecules. Unlike conventional incoherent SERS this approach generates a coherent stimulated signal of microwatt intensities, opening the field to applications requiring a coherent beam, such as Molecular Holography.
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102
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Machine learning applications to clinical decision support in neurosurgery: an artificial intelligence augmented systematic review. Neurosurg Rev 2019; 43:1235-1253. [PMID: 31422572 DOI: 10.1007/s10143-019-01163-8] [Citation(s) in RCA: 91] [Impact Index Per Article: 18.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Revised: 07/05/2019] [Accepted: 08/06/2019] [Indexed: 12/27/2022]
Abstract
Machine learning (ML) involves algorithms learning patterns in large, complex datasets to predict and classify. Algorithms include neural networks (NN), logistic regression (LR), and support vector machines (SVM). ML may generate substantial improvements in neurosurgery. This systematic review assessed the current state of neurosurgical ML applications and the performance of algorithms applied. Our systematic search strategy yielded 6866 results, 70 of which met inclusion criteria. Performance statistics analyzed included area under the receiver operating characteristics curve (AUC), accuracy, sensitivity, and specificity. Natural language processing (NLP) was used to model topics across the corpus and to identify keywords within surgical subspecialties. ML applications were heterogeneous. The densest cluster of studies focused on preoperative evaluation, planning, and outcome prediction in spine surgery. The main algorithms applied were NN, LR, and SVM. Input and output features varied widely and were listed to facilitate future research. The accuracy (F(2,19) = 6.56, p < 0.01) and specificity (F(2,16) = 5.57, p < 0.01) of NN, LR, and SVM differed significantly. NN algorithms demonstrated significantly higher accuracy than LR. SVM demonstrated significantly higher specificity than LR. We found no significant difference between NN, LR, and SVM AUC and sensitivity. NLP topic modeling reached maximum coherence at seven topics, which were defined by modeling approach, surgery type, and pathology themes. Keywords captured research foci within surgical domains. ML technology accurately predicts outcomes and facilitates clinical decision-making in neurosurgery. NNs frequently outperformed other algorithms on supervised learning tasks. This study identified gaps in the literature and opportunities for future neurosurgical ML research.
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103
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Ralbovsky NM, Lednev IK. Raman spectroscopy and chemometrics: A potential universal method for diagnosing cancer. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2019; 219:463-487. [PMID: 31075613 DOI: 10.1016/j.saa.2019.04.067] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Revised: 04/20/2019] [Accepted: 04/24/2019] [Indexed: 05/14/2023]
Abstract
Cancer is the second-leading cause of death worldwide. It affects an unfathomable number of people, with almost 16 million Americans currently living with it. While many cancers can be detected, current diagnostic efforts exhibit definite room for improvement. It is imperative that a person be diagnosed with cancer as early on in its progression as possible. An earlier diagnosis allows for the best treatment and intervention options available to be presented. Unfortunately, existing methods for diagnosing cancer can be expensive, invasive, inconclusive or inaccurate, and are not always made during initial stages of the disease. As such, there is a crucial unmet need to develop a singular universal method that is reliable, cost-effective, and non-invasive and can diagnose all forms of cancer early-on. Raman spectroscopy in combination with advanced statistical analysis is offered here as a potential solution for this need. This review covers recently published research in which Raman spectroscopy was used for the purpose of diagnosing cancer. The benefits and the risks of the methodology are presented; however, there is overwhelming evidence that suggests Raman spectroscopy is highly suitable for becoming the first universal method to be used for diagnosing cancer.
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Affiliation(s)
- Nicole M Ralbovsky
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, NY 12222, USA
| | - Igor K Lednev
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, NY 12222, USA.
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104
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Manifold B, Thomas E, Francis AT, Hill AH, Fu D. Denoising of stimulated Raman scattering microscopy images via deep learning. BIOMEDICAL OPTICS EXPRESS 2019; 10:3860-3874. [PMID: 31452980 PMCID: PMC6701518 DOI: 10.1364/boe.10.003860] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 06/18/2019] [Accepted: 07/04/2019] [Indexed: 05/06/2023]
Abstract
Stimulated Raman scattering (SRS) microscopy is a label-free quantitative chemical imaging technique that has demonstrated great utility in biomedical imaging applications ranging from real-time stain-free histopathology to live animal imaging. However, similar to many other nonlinear optical imaging techniques, SRS images often suffer from low signal to noise ratio (SNR) due to absorption and scattering of light in tissue as well as the limitation in applicable power to minimize photodamage. We present the use of a deep learning algorithm to significantly improve the SNR of SRS images. Our algorithm is based on a U-Net convolutional neural network (CNN) and significantly outperforms existing denoising algorithms. More importantly, we demonstrate that the trained denoising algorithm is applicable to images acquired at different zoom, imaging power, imaging depth, and imaging geometries that are not included in the training. Our results identify deep learning as a powerful denoising tool for biomedical imaging at large, with potential towards in vivo applications, where imaging parameters are often variable and ground-truth images are not available to create a fully supervised learning training set.
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105
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Li J, Lin P, Tan Y, Cheng JX. Volumetric stimulated Raman scattering imaging of cleared tissues towards three-dimensional chemical histopathology. BIOMEDICAL OPTICS EXPRESS 2019; 10:4329-4339. [PMID: 31453014 PMCID: PMC6701556 DOI: 10.1364/boe.10.004329] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Revised: 07/12/2019] [Accepted: 07/22/2019] [Indexed: 05/18/2023]
Abstract
Thin tissue slice based histology has been used as a gold standard for disease diagnosis since over a hundred years ago. However, histopathological evaluation on two-dimensional slides suffers from large variations due to limited sampling. To improve the diagnostic accuracy, three-dimensional (3D) histology is performed through serial sectioning, staining, imaging and reconstruction of individual slices, which is highly time-consuming and labor intensive. We developed a volumetric stimulated Raman scattering (SRS) imaging method, which provides histology-like information in 3D context without the need for staining with dyes. Using a small molecule clearing agent, formamide, we performed tissue clearing within 30 min and achieved an imaging depth up to 500 µm in highly scattered tissues, including brain, kidney, liver and lung. Through a two-color SRS imaging scheme, we obtained histology-like images in cleared brain tissue slices. Our method has the potential for 3D tissue histopathology to improve the accuracy of histopathological examination.
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Affiliation(s)
- Junjie Li
- Department of Electrical and Computer Engineering, Boston University, 8 St. Mary’s St, Boston, MA 02215, USA
| | - Peng Lin
- Department of Electrical and Computer Engineering, Boston University, 8 St. Mary’s St, Boston, MA 02215, USA
| | - Yuying Tan
- Department of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, MA 02215, USA
| | - Ji-Xin Cheng
- Department of Electrical and Computer Engineering, Boston University, 8 St. Mary’s St, Boston, MA 02215, USA
- Department of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, MA 02215, USA
- Photonics Center, Boston University, 8 St. Mary’s St, Boston, MA 02215, USA
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106
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107
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Haven NJM, Bell KL, Kedarisetti P, Lewis JD, Zemp RJ. Ultraviolet photoacoustic remote sensing microscopy. OPTICS LETTERS 2019; 44:3586-3589. [PMID: 31305578 DOI: 10.1364/ol.44.003586] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Traditional histopathology involves fixing, sectioning, and staining protocols that are time consuming and subject to staining variability. In this Letter, we present ultraviolet photoacoustic remote sensing microscopy, capable of imaging cell nuclei without the need for exogenous stains or labelling. Our reflection mode approach is non-contact and has the potential to provide useful histological information without laborious sample preparation steps. Tumor cell cultures and excised tissue samples were imaged with the 0.7 μm resolution and signal-to-noise ratios as high as 53 dB, with close agreement to traditional hematoxylin and eosin staining.
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108
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Fast stimulated Raman and second harmonic generation imaging for intraoperative gastro-intestinal cancer detection. Sci Rep 2019; 9:10052. [PMID: 31296917 PMCID: PMC6624250 DOI: 10.1038/s41598-019-46489-x] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Accepted: 06/25/2019] [Indexed: 01/26/2023] Open
Abstract
Conventional haematoxylin, eosin and saffron (HES) histopathology, currently the 'gold-standard' for pathological diagnosis of cancer, requires extensive sample preparations that are achieved within time scales that are not compatible with intra-operative situations where quick decisions must be taken. Providing to pathologists a close to real-time technology revealing tissue structures at the cellular level with HES histologic quality would provide an invaluable tool for surgery guidance with evident clinical benefit. Here, we specifically develop a stimulated Raman imaging based framework that demonstrates gastro-intestinal (GI) cancer detection of unprocessed human surgical specimens. The generated stimulated Raman histology (SRH) images combine chemical and collagen information to mimic conventional HES histopathology staining. We report excellent agreements between SRH and HES images acquire on the same patients for healthy, pre-cancerous and cancerous colon and pancreas tissue sections. We also develop a novel fast SRH imaging modality that captures at the pixel level all the information necessary to provide instantaneous SRH images. These developments pave the way for instantaneous label free GI histology in an intra-operative context.
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109
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Andreana M, Sentosa R, Erkkilä MT, Drexler W, Unterhuber A. Depth resolved label-free multimodal optical imaging platform to study morpho-molecular composition of tissue. Photochem Photobiol Sci 2019; 18:997-1008. [PMID: 30882117 DOI: 10.1039/c8pp00410b] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Multimodal imaging platforms offer a vast array of tissue information in a single image acquisition by combining complementary imaging techniques. By merging different systems, better tissue characterization can be achieved than is possible by the constituent imaging modalities alone. The combination of optical coherence tomography (OCT) with non-linear optical imaging (NLOI) techniques such as two-photon excited fluorescence (TPEF), second harmonic generation (SHG) and coherent anti-Stokes Raman scattering (CARS) provides access to detailed information of tissue structure and molecular composition in a fast, label-free and non-invasive manner. We introduce a multimodal label-free approach for morpho-molecular imaging and spectroscopy and validate the system in mouse skin demonstrating the potential of the system for colocalized acquisition of OCT and NLOI signals.
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Affiliation(s)
- Marco Andreana
- Medical University of Vienna, Center for Medical Physics and Biomedical Engineering, Waehringer Guertel 18-20, 1090 Vienna, Austria.
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110
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Simonović J, Toljić B, Rašković B, Jovanović V, Lazarević M, Milošević M, Nikolić N, Panajotović R, Milašin J. Raman microspectroscopy: toward a better distinction and profiling of different populations of dental stem cells. Croat Med J 2019. [PMID: 31044579 PMCID: PMC6509629 DOI: 10.3325/croatmedj_60_0078] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
AIM To characterize stem cells originating from different dental tissues (apical papilla [SCAP], dental follicle [DFSC], and pulp [DPSC]) and test the capacity of Raman microspectroscopy to distinguish between the three dental stem cell types. METHODS SCAP, DFSC, and DPSC cultures were generated from three immature wisdom teeth originating from three patients. Cell stemness was confirmed by inducing neuro-, osteo-, chondro-, and adipo-differentiaton and by mesenchymal marker expression analysis by flow-cytometry and real-time polymerase chain reaction. Cellular components were then evaluated by Raman microspectroscopy. RESULTS We found differences between SCAP, DFSC, and DPSC Raman spectra. The ratio between proteins and nucleic acids (748/770), a parameter for discriminating more differentiated from less differentiated cells, showed significant differences between the three cell types. All cells also displayed a fingerprint region in the 600-700 cm-1 range, and characteristic lipid peaks at positions 1440 cm-1 and 1650 cm-1. CONCLUSION Although different dental stem cells exhibited similar Raman spectra, the method enabled us to make subtle distinction between them.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Jelena Milašin
- Jelena Milašin, School of Dental Medicine, University of Belgrade, Dr Subotića 8, 11000 Belgrade, Serbia,
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111
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Cao S, Zhou Z, Li H, Jia M, Liu Y, Wang M, Zhang M, Zhang S, Chen J, Xu J, Knutson JR. A fraction of NADH in solution is "dark": Implications for metabolic sensing via fluorescence lifetime. Chem Phys Lett 2019; 726:18-21. [PMID: 32921799 PMCID: PMC7486008 DOI: 10.1016/j.cplett.2019.04.014] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
The metabolic cofactor and energy carrier NADH (nicotinamide adenine dinucleotide, reduced) has fluorescence yield and lifetime that depends strongly on conformation, a fact that has enabled metabolic monitoring of cells via FLIM (Fluorescence Lifetime Microscopy). Using femtosecond fluorescence upconversion, we show that this molecule in solution participates in ultrafast self-quenching along with both bulk solvent relaxation and spectral relaxation on 1.4 and 26 ps timescales. This, in effect, means up to a third of NADH is effectively "dark" for FLIM in the 400-500 nm observation window commonly employed. Methods to compensate for, avoid or measure dark species corrections are outlined.
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Affiliation(s)
- Simin Cao
- State Key Laboratory of Precision Spectroscopy, East China Normal University, Shanghai 200062, China
| | - Zhongneng Zhou
- State Key Laboratory of Precision Spectroscopy, East China Normal University, Shanghai 200062, China
| | - Haoyang Li
- State Key Laboratory of Precision Spectroscopy, East China Normal University, Shanghai 200062, China
| | - Menghui Jia
- State Key Laboratory of Precision Spectroscopy, East China Normal University, Shanghai 200062, China
| | - Yangyi Liu
- State Key Laboratory of Precision Spectroscopy, East China Normal University, Shanghai 200062, China
| | - Mengyu Wang
- State Key Laboratory of Precision Spectroscopy, East China Normal University, Shanghai 200062, China
| | - Mengjie Zhang
- State Key Laboratory of Precision Spectroscopy, East China Normal University, Shanghai 200062, China
| | - Sanjun Zhang
- State Key Laboratory of Precision Spectroscopy, East China Normal University, Shanghai 200062, China
| | - Jinquan Chen
- State Key Laboratory of Precision Spectroscopy, East China Normal University, Shanghai 200062, China
| | - Jianhua Xu
- State Key Laboratory of Precision Spectroscopy, East China Normal University, Shanghai 200062, China
| | - Jay R. Knutson
- Laboratory for Advanced Microscopy and Biophotonics, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, United States
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112
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Zhang Z, de Munck JC, Verburg N, Rozemuller AJ, Vreuls W, Cakmak P, van Huizen LMG, Idema S, Aronica E, de Witt Hamer PC, Wesseling P, Groot ML. Quantitative Third Harmonic Generation Microscopy for Assessment of Glioma in Human Brain Tissue. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2019; 6:1900163. [PMID: 31179222 PMCID: PMC6548968 DOI: 10.1002/advs.201900163] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Revised: 02/20/2019] [Indexed: 06/02/2023]
Abstract
Distinguishing tumors from normal brain cells is important but challenging in glioma surgery due to the lack of clear interfaces between the two. The ability of label-free third harmonic generation (THG) microscopy in combination with automated image analysis to quantitatively detect glioma infiltration in fresh, unprocessed tissue in real time is assessed. The THG images reveal increased cellularity in grades II-IV glioma samples from 23 patients, as confirmed by subsequent hematoxylin and eosin histology. An automated image quantification workflow is presented for quantitative assessment of the imaged cellularity as a reflection of the degree of glioma invasion. The cellularity is validated in three ways: 1) Quantitative comparison of THG imaging with fluorescence microscopy of nucleus-stained samples demonstrates that THG reflects the true tissue cellularity. 2) Thresholding of THG cellularity differentiates normal brain from glioma infiltration, with 96.6% sensitivity and 95.5% specificity, in nearly perfect (93%) agreement with pathologists. 3) In one patient, a good correlation between THG cellularity and preoperative magnetic resonance and positron emission tomography imaging is demonstrated. In conclusion, quantitative real-time THG microscopy accurately assesses glioma infiltration in ex vivo human brain samples, and therefore holds strong potential for improving the accuracy of surgical resection.
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Affiliation(s)
- Zhiqing Zhang
- LaserLab AmsterdamDepartment of Physics and AstronomyFaculty of SciencesVrije Universiteit AmsterdamDe Boelelaan 10811081HVAmsterdamThe Netherlands
- Department of Radiology and Nuclear MedicineAmsterdam Universities Medical Center/VU University Medical CenterDe Boelelaan 11181081HZAmsterdamThe Netherlands
- Amsterdam NeuroscienceVrije Universiteit AmsterdamDe Boelelaan 10851081HVAmsterdamThe Netherlands
| | - Jan C. de Munck
- Department of Radiology and Nuclear MedicineAmsterdam Universities Medical Center/VU University Medical CenterDe Boelelaan 11181081HZAmsterdamThe Netherlands
| | - Niels Verburg
- Amsterdam Brain Tumor CenterAmsterdam Universities Medical Center/VU University Medical CenterDe Boelelaan 11171081HVAmsterdamThe Netherlands
- Department of NeurosurgeryAmsterdam Universities Medical Center/VU University Medical CenterDe Boelelaan 11171081HVAmsterdamThe Netherlands
| | - Annemieke J. Rozemuller
- Department of PathologyAmsterdam Universities Medical Center/VU University Medical CenterDe Boelelaan 11171081HVAmsterdamThe Netherlands
| | - Willem Vreuls
- Department of PathologyCanisius Wilhelmina ZiekenhuisWeg door jonkerbos 100, Postbus 90156500GSNijmegenThe Netherlands
| | - Pinar Cakmak
- Department of PathologyGazi University Medical FacultyBesevler06500AnkaraTurkey
| | - Laura M. G. van Huizen
- LaserLab AmsterdamDepartment of Physics and AstronomyFaculty of SciencesVrije Universiteit AmsterdamDe Boelelaan 10811081HVAmsterdamThe Netherlands
| | - Sander Idema
- Department of NeurosurgeryAmsterdam Universities Medical Center/VU University Medical CenterDe Boelelaan 11171081HVAmsterdamThe Netherlands
| | - Eleonora Aronica
- Department of (Neuro) PathologyAmsterdam UMCUniversity of AmsterdamMeibergdreef 91105AZAmsterdamThe Netherlands
| | - Philip C. de Witt Hamer
- Amsterdam Brain Tumor CenterAmsterdam Universities Medical Center/VU University Medical CenterDe Boelelaan 11171081HVAmsterdamThe Netherlands
- Department of NeurosurgeryAmsterdam Universities Medical Center/VU University Medical CenterDe Boelelaan 11171081HVAmsterdamThe Netherlands
| | - Pieter Wesseling
- Amsterdam Brain Tumor CenterAmsterdam Universities Medical Center/VU University Medical CenterDe Boelelaan 11171081HVAmsterdamThe Netherlands
- Department of PathologyAmsterdam Universities Medical Center/VU University Medical CenterDe Boelelaan 11171081HVAmsterdamThe Netherlands
- Princess Máxima Center for Pediatric Oncology and Department of PathologyUniversity Medical Center UtrechtHeidelberglaan 253584CSUtrechtThe Netherlands
| | - Marie Louise Groot
- LaserLab AmsterdamDepartment of Physics and AstronomyFaculty of SciencesVrije Universiteit AmsterdamDe Boelelaan 10811081HVAmsterdamThe Netherlands
- Amsterdam NeuroscienceVrije Universiteit AmsterdamDe Boelelaan 10851081HVAmsterdamThe Netherlands
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113
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Lakomkin N, Hadjipanayis CG. The Use of Spectroscopy Handheld Tools in Brain Tumor Surgery: Current Evidence and Techniques. Front Surg 2019; 6:30. [PMID: 31192217 PMCID: PMC6548876 DOI: 10.3389/fsurg.2019.00030] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2019] [Accepted: 05/09/2019] [Indexed: 01/10/2023] Open
Abstract
The fundamental principle in the operative treatment of brain tumors involves achieving maximal safe resection in order to improve postoperative outcomes. At present, challenges in visualizing microscopic disease and residual tumor remain an impediment to complete tumor removal. Spectroscopic tools have the theoretical advantage of accurate tissue identification, coupled with the potential for manual intraoperative adjustments to improve visualization of remaining tumor tissue that would otherwise be difficult to detect. The current evidence and techniques for handheld spectroscopic tools in surgical neuro-oncology are explored here.
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Affiliation(s)
- Nikita Lakomkin
- Department of Neurosurgery, Mount Sinai Health System, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Department of Neurosurgery, Mount Sinai Health System, Icahn School of Medicine, New York, NY, United States
| | - Constantinos G Hadjipanayis
- Department of Neurosurgery, Mount Sinai Health System, Icahn School of Medicine at Mount Sinai, New York, NY, United States.,Department of Neurosurgery, Mount Sinai Health System, Icahn School of Medicine, New York, NY, United States
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114
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Ferrara MA, Filograna A, Ranjan R, Corda D, Valente C, Sirleto L. Three-dimensional label-free imaging throughout adipocyte differentiation by stimulated Raman microscopy. PLoS One 2019; 14:e0216811. [PMID: 31112567 PMCID: PMC6528968 DOI: 10.1371/journal.pone.0216811] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Accepted: 04/29/2019] [Indexed: 11/18/2022] Open
Abstract
Lipid droplets are lipid-storage organelles with a key role in lipid accumulation pathologies such as diabetes, obesity and atherosclerosis. Despite their important functions many aspects of lipid droplets biology are still unknown. This is partially due to the current use of exogenous labels to monitor their formation and remodelling by invasive imaging methods. Here, we apply stimulated Raman scattering microscopy to acquire images with high spatial resolution along with resolving capabilities of lipids and proteins and three-dimensional sectioning. Our images and data analysis demonstrate an increase in the number of large (>15μm2) lipid droplets in human adipocyte cells during differentiation process. In addition, spatially-resolved maps of lipids and proteins inside cells and three dimensional reconstructions of lipids at the initial and final steps of adipocyte differentiation are reported, too.
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Affiliation(s)
| | - Angela Filograna
- National Research Council (CNR), Institute of Protein Biochemistry, Naples, Italy
| | - Rajeev Ranjan
- National Research Council (CNR), Institute for Microelectronics and Microsystems, Naples, Italy
| | - Daniela Corda
- National Research Council (CNR), Institute of Protein Biochemistry, Naples, Italy
| | - Carmen Valente
- National Research Council (CNR), Institute of Protein Biochemistry, Naples, Italy
- * E-mail: (LS); (CV)
| | - Luigi Sirleto
- National Research Council (CNR), Institute for Microelectronics and Microsystems, Naples, Italy
- * E-mail: (LS); (CV)
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115
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Wanjiku B, Yamamoto K, Klossek A, Schumacher F, Pischon H, Mundhenk L, Rancan F, Judd MM, Ahmed M, Zoschke C, Kleuser B, Rühl E, Schäfer-Korting M. Qualifying X-ray and Stimulated Raman Spectromicroscopy for Mapping Cutaneous Drug Penetration. Anal Chem 2019; 91:7208-7214. [PMID: 31090401 DOI: 10.1021/acs.analchem.9b00519] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Research on topical drug delivery relies on reconstructed human skin (RHS) in addition to ex vivo human and animal skin, each with specific physiological features. Here, we compared the penetration of dexamethasone from an ethanolic hydroxyethyl cellulose gel into ex vivo human skin, murine skin, and RHS. For comprehensive insights into skin morphology and penetration enhancing mechanisms, scanning transmission X-ray microscopy (STXM), liquid chromatography tandem-mass spectrometry (LC-MS/MS), and stimulated Raman spectromicroscopy (SRS) were combined. STXM offers high spatial resolution with label-free drug detection and is therefore sensitive to tissue damage. Despite differences in sample preparation and data analysis, the amounts of dexamethasone in RHS, detected and quantified by STXM and LC-MS/MS, were very similar and increased during the first 100 min of exposure. SRS revealed interactions between the gel and the stratum corneum or, more specifically, its protein and lipid structures. Similar to both types of ex vivo skin, higher protein-to-lipid ratios within the stratum corneum of RHS indicated reduced lipid amounts after 30 min of ethanol exposure. Extended ethanol exposure led to a continued reduction of lipids in the ex vivo matrixes, while protein integrity appeared to be compromised in RHS, which led to declining protein signals. In conclusion, LC-MS/MS proved the predictive capability of STXM for label-free drug detection. Combining STXM with SRS precisely dissected the penetration enhancing effects of ethanol. Further studies on topical drug delivery should consider the potential of these complementary techniques.
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Affiliation(s)
- Barbara Wanjiku
- Institute of Pharmacy (Pharmacology and Toxicology) , Freie Universität Berlin , Königin-Luise-Strasse 2 + 4 , 14195 Berlin , Germany
| | - Kenji Yamamoto
- Institute of Chemistry and Biochemistry (Physical Chemistry) , Freie Universität Berlin , Arnimallee 22 , 14195 Berlin , Germany
| | - André Klossek
- Institute of Chemistry and Biochemistry (Physical Chemistry) , Freie Universität Berlin , Arnimallee 22 , 14195 Berlin , Germany
| | - Fabian Schumacher
- Institute of Nutritional Science , University of Potsdam , Arthur-Scheunert-Allee 114-6 , 14558 Nuthetal , Germany.,Department of Molecular Biology , University of Duisburg-Essen , Hufelandstrasse 55 , 45147 Essen , Germany
| | - Hannah Pischon
- Institute of Veterinary Pathology , Freie Universität Berlin , Robert-von-Ostertag-Strasse 15 , 14163 Berlin , Germany
| | - Lars Mundhenk
- Institute of Veterinary Pathology , Freie Universität Berlin , Robert-von-Ostertag-Strasse 15 , 14163 Berlin , Germany
| | - Fiorenza Rancan
- Department of Dermatology and Allergy, Clinical Research Center for Hair and Skin Science , Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin , Charitéplatz 1 , 10117 Berlin , Germany
| | - Martyna M Judd
- Institute of Chemistry and Biochemistry (Physical Chemistry) , Freie Universität Berlin , Arnimallee 22 , 14195 Berlin , Germany
| | - Muniruddin Ahmed
- Institute of Pharmacy (Pharmacology and Toxicology) , Freie Universität Berlin , Königin-Luise-Strasse 2 + 4 , 14195 Berlin , Germany.,Department of Clinical Pharmacy and Pharmacology , University of Dhaka , Dhaka 1000 , Bangladesh
| | - Christian Zoschke
- Institute of Pharmacy (Pharmacology and Toxicology) , Freie Universität Berlin , Königin-Luise-Strasse 2 + 4 , 14195 Berlin , Germany
| | - Burkhard Kleuser
- Institute of Nutritional Science , University of Potsdam , Arthur-Scheunert-Allee 114-6 , 14558 Nuthetal , Germany
| | - Eckart Rühl
- Institute of Chemistry and Biochemistry (Physical Chemistry) , Freie Universität Berlin , Arnimallee 22 , 14195 Berlin , Germany
| | - Monika Schäfer-Korting
- Institute of Pharmacy (Pharmacology and Toxicology) , Freie Universität Berlin , Königin-Luise-Strasse 2 + 4 , 14195 Berlin , Germany
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Taylor JN, Mochizuki K, Hashimoto K, Kumamoto Y, Harada Y, Fujita K, Komatsuzaki T. High-Resolution Raman Microscopic Detection of Follicular Thyroid Cancer Cells with Unsupervised Machine Learning. J Phys Chem B 2019; 123:4358-4372. [PMID: 31035762 DOI: 10.1021/acs.jpcb.9b01159] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
We use Raman microscopic images with high spatial and spectral resolution to investigate differences between human follicular thyroid (Nthy-ori 3-1) and follicular thyroid carcinoma (FTC-133) cells, a well-differentiated thyroid cancer. Through comparison to classification of single-cell Raman spectra, the importance of subcellular information in the Raman images is emphasized. Subcellular information is extracted through a coarse-graining of the spectra at high spatial resolution (∼1.7 μm2), producing a set of characteristic spectral groups representing locations having similar biochemical compositions. We develop a cell classifier based on the frequencies at which the characteristic spectra appear within each of the single cells. Using this classifier, we obtain a more accurate (89.8%) distinction of FTC-133 and Nthy-ori 3-1, in comparison to single-cell spectra (77.6%). We also infer which subcellular components are important to cellular distinction; we find that cancerous FTC-133 cells contain increased populations of lipid-containing components and decreased populations of cytochrome-containing components relative to Nthy-ori 3-1, and that the regions containing these contributions are largely outside the cell nuclei. In addition to increased classification accuracy, this approach provides rich subcellular information about biochemical differences and cellular locations associated with the distinction of the normal and cancerous follicular thyroid cells.
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Affiliation(s)
- J Nicholas Taylor
- Research Institute for Electronic Science , Hokkaido University , Kita 20, Nishi 10 , Kita-ku, Sapporo 001-0020 , Japan
| | - Kentaro Mochizuki
- Department of Applied Physics , Osaka University , 2-1 Yamadaoka , Suita, Osaka 565-0871 , Japan
| | - Kosuke Hashimoto
- Department of Pathology and Cell Regulation, Graduate School of Medical Science , Kyoto Prefectural University of Medicine , Kajii-cho, Kawaramachi-Hirokoji, Kyoto , 602-8566 , Japan
| | - Yasuaki Kumamoto
- Department of Pathology and Cell Regulation, Graduate School of Medical Science , Kyoto Prefectural University of Medicine , Kajii-cho, Kawaramachi-Hirokoji, Kyoto , 602-8566 , Japan
| | - Yoshinori Harada
- Department of Pathology and Cell Regulation, Graduate School of Medical Science , Kyoto Prefectural University of Medicine , Kajii-cho, Kawaramachi-Hirokoji, Kyoto , 602-8566 , Japan
| | - Katsumasa Fujita
- Department of Applied Physics , Osaka University , 2-1 Yamadaoka , Suita, Osaka 565-0871 , Japan.,Advanced Photonics and Biosensing Open Innovation Laboratory , AIST-Osaka University , Yamadaoka , Suita, Osaka 565-0871 , Japan.,Transdimensional Life Imaging Division, Institute for Open and Transdisciplinary Research Initiatives , Osaka University , Yamadaoka , Suita, Osaka 565-0871 , Japan
| | - Tamiki Komatsuzaki
- Research Institute for Electronic Science , Hokkaido University , Kita 20, Nishi 10 , Kita-ku, Sapporo 001-0020 , Japan.,Institute for Chemical Reaction Design and Discovery (WPI-ICReDD) , Hokkaido University , Kita 21 Nishi 10 , Kita-ku, Sapporo , Hokkaido 001-0021 , Japan.,Laboratoire Interdisciplinaire Carnot de Bourgogne , UMR 6303 CNRS-Université Bourgogne Franche-Comt , 9 Avenue A. Savary, BP 47 870 , F-21078 , Dijon Cedex , France
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Zhang L, Wu Y, Zheng B, Su L, Chen Y, Ma S, Hu Q, Zou X, Yao L, Yang Y, Chen L, Mao Y, Chen Y, Ji M. Rapid histology of laryngeal squamous cell carcinoma with deep-learning based stimulated Raman scattering microscopy. Theranostics 2019; 9:2541-2554. [PMID: 31131052 PMCID: PMC6526002 DOI: 10.7150/thno.32655] [Citation(s) in RCA: 86] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2018] [Accepted: 03/25/2019] [Indexed: 02/06/2023] Open
Abstract
Maximal resection of tumor while preserving the adjacent healthy tissue is particularly important for larynx surgery, hence precise and rapid intraoperative histology of laryngeal tissue is crucial for providing optimal surgical outcomes. We hypothesized that deep-learning based stimulated Raman scattering (SRS) microscopy could provide automated and accurate diagnosis of laryngeal squamous cell carcinoma on fresh, unprocessed surgical specimens without fixation, sectioning or staining. Methods: We first compared 80 pairs of adjacent frozen sections imaged with SRS and standard hematoxylin and eosin histology to evaluate their concordance. We then applied SRS imaging on fresh surgical tissues from 45 patients to reveal key diagnostic features, based on which we have constructed a deep learning based model to generate automated histologic results. 18,750 SRS fields of views were used to train and cross-validate our 34-layered residual convolutional neural network, which was used to classify 33 untrained fresh larynx surgical samples into normal and neoplasia. Furthermore, we simulated intraoperative evaluation of resection margins on totally removed larynxes. Results: We demonstrated near-perfect diagnostic concordance (Cohen's kappa, κ > 0.90) between SRS and standard histology as evaluated by three pathologists. And deep-learning based SRS correctly classified 33 independent surgical specimens with 100% accuracy. We also demonstrated that our method could identify tissue neoplasia at the simulated resection margins that appear grossly normal with naked eyes. Conclusion: Our results indicated that SRS histology integrated with deep learning algorithm provides potential for delivering rapid intraoperative diagnosis that could aid the surgical management of laryngeal cancer.
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Affiliation(s)
- Lili Zhang
- State Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200433, China
- Human Phenome Institute, Multiscale Research Institute of Complex Systems, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Fudan University, Shanghai 200433, China
| | - Yongzheng Wu
- State Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200433, China
| | - Bin Zheng
- Department of Otolaryngology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
| | - Lizhong Su
- Department of Otolaryngology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
| | - Yuan Chen
- Department of Pathology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
| | - Shuang Ma
- Department of Pathology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
| | - Qinqin Hu
- Department of Pathology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
| | - Xiang Zou
- Department of Neurosurgery, Department of Pancreatic Surgery, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Lie Yao
- Department of Neurosurgery, Department of Pancreatic Surgery, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Yinlong Yang
- Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College; Fudan University, Shanghai 200040, China
| | - Liang Chen
- Department of Neurosurgery, Department of Pancreatic Surgery, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Ying Mao
- Department of Neurosurgery, Department of Pancreatic Surgery, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Yan Chen
- State Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200433, China
| | - Minbiao Ji
- State Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200433, China
- Human Phenome Institute, Multiscale Research Institute of Complex Systems, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Fudan University, Shanghai 200433, China
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118
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Volumetric chemical imaging by clearing-enhanced stimulated Raman scattering microscopy. Proc Natl Acad Sci U S A 2019; 116:6608-6617. [PMID: 30872474 DOI: 10.1073/pnas.1813044116] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
Three-dimensional visualization of tissue structures using optical microscopy facilitates the understanding of biological functions. However, optical microscopy is limited in tissue penetration due to severe light scattering. Recently, a series of tissue-clearing techniques have emerged to allow significant depth-extension for fluorescence imaging. Inspired by these advances, we develop a volumetric chemical imaging technique that couples Raman-tailored tissue-clearing with stimulated Raman scattering (SRS) microscopy. Compared with the standard SRS, the clearing-enhanced SRS achieves greater than 10-times depth increase. Based on the extracted spatial distribution of proteins and lipids, our method reveals intricate 3D organizations of tumor spheroids, mouse brain tissues, and tumor xenografts. We further develop volumetric phasor analysis of multispectral SRS images for chemically specific clustering and segmentation in 3D. Moreover, going beyond the conventional label-free paradigm, we demonstrate metabolic volumetric chemical imaging, which allows us to simultaneously map out metabolic activities of protein and lipid synthesis in glioblastoma. Together, these results support volumetric chemical imaging as a valuable tool for elucidating comprehensive 3D structures, compositions, and functions in diverse biological contexts, complementing the prevailing volumetric fluorescence microscopy.
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119
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Yang K, Zheng S, Ye P, Hao Q, Huang K, Zeng H. Fiber-based optical parametric oscillator with flexible repetition rates by rational harmonic pumping. OPTICS EXPRESS 2019; 27:4897-4906. [PMID: 30876099 DOI: 10.1364/oe.27.004897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Accepted: 01/27/2019] [Indexed: 06/09/2023]
Abstract
We demonstrated a fiber-based synchronously pumped optical parametric oscillator (SPOPO) with flexible repetition rates while retaining the cavity length. In contrast to conventional free-space SPOPO, the repetition rate of output signal pulses was solely determined by the repetition rate of the pump source in harmonic, fractional and rational operations. The relevant mechanism relies on synchronous pumping and intrinsic losses in our fiber resonator. The novel scheme enabled us to flexibly tune the repetition rate from 0.5 to 6.0 MHz without altering the resonator configuration. The resulting pulse properties were systematically analyzed at various operation conditions, and particularly showed that a wavelength tuning range of 157 nm was obtained. Such rational harmonic resonance implemented in our SPOPO provides not only a simple yet effective way to tune the repetition rate, but also a feasible approach to narrow down the spectral bandwidth. The presented SPOPO could be useful in nonlinear biomedical imaging by offering a convenient approach to optimize the pulse repetition rate for different biomedical samples with minimum photodamage.
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120
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Bae K, Zheng W, Ma Y, Huang Z. Real-Time Monitoring of Pharmacokinetics of Antibiotics in Biofilms with Raman-Tagged Hyperspectral Stimulated Raman Scattering Microscopy. Theranostics 2019; 9:1348-1357. [PMID: 30867835 PMCID: PMC6401501 DOI: 10.7150/thno.32043] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Accepted: 01/05/2019] [Indexed: 01/06/2023] Open
Abstract
Antibiotics resistance developed by biofilms has posed a clinical challenge in the effective treatment of bacterial infections. However, the resistance mechanisms have not been well understood due to a lack of suitable tools for dynamic observation of the interplay between antibiotics and biofilm. In this work, with the use of rapid hyperspectral stimulated Raman scattering microscopy associated with an aryl-alkyne-based Raman tag synthesized, we investigate dynamic interactions between vancomycin and Staphylococcus aureus (S. aureus) biofilm to gain new insights into the resistance mechanisms of the biofilm. Methods: We utilize spectral focusing hyperspectral stimulated Raman scattering microscopy ensued with multivariate curve resolution analysis to spectrally decompose S. aureus biofilm into its major components (i.e., bacteria and extracellular polymeric substances). Concurrently, vancomycin is conjugated with aryl-alkyne Raman tag (Raman peak at 2218 cm-1) for in vivo tracking of its uptake into biofilm without tissue interference. Results: We find that vancomycin penetration is a non-uniform diffusion process with penetration depths limited by the preferential affinity to the cell clusters. Semi-quantitative analysis shows that the majority of vancomycin binds to the bacteria, achieving intracellular concentrations of up to 4- to 10- fold higher than the administered dosage. The diffusion constant of ~3.16 µm2/min based on the diffusion and antibiotic binding equations is obtained that well accounts for the antibiotic penetration into the biofilm. SRS longitudinal monitoring of antibiotic effect on the growth of biofilms shows that the antibiotics can eradicate the upper layer of the biofilm exposed to sufficient dosages, while the lower layer of the biofilm at a sub-inhibitory dose remains viable, eventually re-growing to significant bio-volume. Conclusion: The Raman-tagged hyperspectral SRS microscopy developed is a powerful imaging tool for dynamic monitoring of inhibitory effects of antibiotics on the growing biofilm in vivo, which would facilitate the formulation of new antibiotics for more effective treatments of bacterial infections in near future.
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Affiliation(s)
- Kideog Bae
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore 117576
| | - Wei Zheng
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore 117576
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore 119260
| | - Ying Ma
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore 117576
| | - Zhiwei Huang
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore 117576
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121
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Wang H, Mu X, Yang J, Liang Y, Zhang XD, Ming D. Brain imaging with near-infrared fluorophores. Coord Chem Rev 2019. [DOI: 10.1016/j.ccr.2018.11.003] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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122
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Delineating the tumor margin with intraoperative surface-enhanced Raman spectroscopy. Anal Bioanal Chem 2019; 411:3993-4006. [DOI: 10.1007/s00216-019-01577-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2018] [Revised: 12/21/2018] [Accepted: 01/04/2019] [Indexed: 10/27/2022]
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123
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Hollon T, Stummer W, Orringer D, Suero Molina E. Surgical Adjuncts to Increase the Extent of Resection: Intraoperative MRI, Fluorescence, and Raman Histology. Neurosurg Clin N Am 2019; 30:65-74. [PMID: 30470406 DOI: 10.1016/j.nec.2018.08.012] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
In low-grade glioma surgery, depicting tumor margins is challenging. 7 - Bowden 2018 - Sodium Fluorescein Facilitates Guided Sampling of Diagnostic Tumor Tissue.pdf Several tools have emerged to assist surgical decision-making. Intraoperative MRI, albeit expensive and time-consuming, can provide useful information during surgery. Fluorescence-guidance with 5-aminolevulinic acid (5-ALA) helps provide real-time information during surgery regardless of brain-shift, assists in finding anaplastic foci in low-grade tumors, and enables diagnosis of malignant tissue. Raman histology has potential for detecting viable tumor in biopsied tissue and for identifying tumor infiltration in vivo. This article analyzes and discusses these surgical adjuncts.
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Affiliation(s)
- Todd Hollon
- Department of Neurosurgery, University of Michigan, 1500 East Medical Center Drive, Ann Arbor, MI 48109, USA
| | - Walter Stummer
- Department of Neurosurgery, University Hospital of Münster, Albert-Schweitzer-Campus 1, Geb. A1, Münster 48149, Germany
| | - Daniel Orringer
- Department of Neurosurgery, University of Michigan, 1500 East Medical Center Drive, Ann Arbor, MI 48109, USA
| | - Eric Suero Molina
- Department of Neurosurgery, University Hospital of Münster, Albert-Schweitzer-Campus 1, Geb. A1, Münster 48149, Germany.
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124
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Detection of Metabolic Changes Induced via Drug Treatments in Live Cancer Cells and Tissue Using Raman Imaging Microscopy. BIOSENSORS-BASEL 2018; 9:bios9010005. [PMID: 30597885 PMCID: PMC6468689 DOI: 10.3390/bios9010005] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Revised: 12/16/2018] [Accepted: 12/24/2018] [Indexed: 12/31/2022]
Abstract
Isocitrate dehydrogenase 1 (IDH1) mutations in gliomas, fibrosarcoma, and other cancers leads to a novel metabolite, D-2-hydroxyglutarate, which is proposed to cause tumorigenesis. The production of this metabolite also causes vulnerabilities in cellular metabolism, such as lowering NADPH levels. To exploit this vulnerability, we treated glioma and fibrosarcoma cells that harbor an IDH1 mutation with an inhibitor of nicotinamide adenine dinucleotide (NAD+) salvage pathway, FK866, and observed decreased viability in these cells. To understand the mechanism of action by which the inhibitor FK866 works, we used Raman imaging microscopy and identified that proteins and lipids are decreased upon treatment with the drug. Raman imaging showed a different distribution of lipids throughout the cell in the presence of the drug compared with the untreated cells. We employed nuclear magnetic resonance NMR spectroscopy and mass spectrometry to identify the classes of lipids altered. Our combined analyses point to a decrease in cell division due to loss of lipid content that contributes to membrane formation in the in vitro setting. However, the FK866 drug did not have the same potency in vivo. The use of Raman imaging microscopy indicated an opposite trend of lipid distribution in the tissue collected from treated versus untreated mice when compared with the cells. These results demonstrate the role of Raman imaging microscopy to identify and quantify metabolic changes in cancer cells and tissue.
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125
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Santos IP, Barroso EM, Bakker Schut TC, Caspers PJ, van Lanschot CGF, Choi DH, van der Kamp MF, Smits RWH, van Doorn R, Verdijk RM, Noordhoek Hegt V, von der Thüsen JH, van Deurzen CHM, Koppert LB, van Leenders GJLH, Ewing-Graham PC, van Doorn HC, Dirven CMF, Busstra MB, Hardillo J, Sewnaik A, Ten Hove I, Mast H, Monserez DA, Meeuwis C, Nijsten T, Wolvius EB, Baatenburg de Jong RJ, Puppels GJ, Koljenović S. Raman spectroscopy for cancer detection and cancer surgery guidance: translation to the clinics. Analyst 2018; 142:3025-3047. [PMID: 28726868 DOI: 10.1039/c7an00957g] [Citation(s) in RCA: 104] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Oncological applications of Raman spectroscopy have been contemplated, pursued, and developed at academic level for at least 25 years. Published studies aim to detect pre-malignant lesions, detect cancer in less invasive stages, reduce the number of unnecessary biopsies and guide surgery towards the complete removal of the tumour with adequate tumour resection margins. This review summarizes actual clinical needs in oncology that can be addressed by spontaneous Raman spectroscopy and it provides an overview over the results that have been published between 2007 and 2017. An analysis is made of the current status of translation of these results into clinical practice. Despite many promising results, most of the applications addressed in scientific studies are still far from clinical adoption and commercialization. The main hurdles are identified, which need to be overcome to ensure that in the near future we will see the first Raman spectroscopy-based solutions being used in routine oncologic diagnostic and surgical procedures.
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Affiliation(s)
- Inês P Santos
- Center for Optical Diagnostics and Therapy, Department of Dermatology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
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Auner GW, Koya SK, Huang C, Broadbent B, Trexler M, Auner Z, Elias A, Mehne KC, Brusatori MA. Applications of Raman spectroscopy in cancer diagnosis. Cancer Metastasis Rev 2018; 37:691-717. [PMID: 30569241 PMCID: PMC6514064 DOI: 10.1007/s10555-018-9770-9] [Citation(s) in RCA: 178] [Impact Index Per Article: 29.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Novel approaches toward understanding the evolution of disease can lead to the discovery of biomarkers that will enable better management of disease progression and improve prognostic evaluation. Raman spectroscopy is a promising investigative and diagnostic tool that can assist in uncovering the molecular basis of disease and provide objective, quantifiable molecular information for diagnosis and treatment evaluation. This technique probes molecular vibrations/rotations associated with chemical bonds in a sample to obtain information on molecular structure, composition, and intermolecular interactions. Raman scattering occurs when light interacts with a molecular vibration/rotation and a change in polarizability takes place during molecular motion. This results in light being scattered at an optical frequency shifted (up or down) from the incident light. By monitoring the intensity profile of the inelastically scattered light as a function of frequency, the unique spectroscopic fingerprint of a tissue sample is obtained. Since each sample has a unique composition, the spectroscopic profile arising from Raman-active functional groups of nucleic acids, proteins, lipids, and carbohydrates allows for the evaluation, characterization, and discrimination of tissue type. This review provides an overview of the theory of Raman spectroscopy, instrumentation used for measurement, and variation of Raman spectroscopic techniques for clinical applications in cancer, including detection of brain, ovarian, breast, prostate, and pancreatic cancers and circulating tumor cells.
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Affiliation(s)
- Gregory W Auner
- Michael and Marian Ilitch Department of Surgery, School of Medicine, Wayne State University, 5050 Anthony Wayne Drive, Detroit, MI, 48202, USA.
- Department of Biomedical Engineering, College of Engineering, Wayne State University, 5050 Anthony Wayne Drive, Detroit, MI, 48202, USA.
- Smart Sensors and Integrated Microsystems Program, Wayne State University, Detroit, MI, 48202, USA.
- Henry Ford Health Systems, Detroit Institute of Ophthalmology, Grosse Pointe Park, MI, 48230, USA.
| | - S Kiran Koya
- Michael and Marian Ilitch Department of Surgery, School of Medicine, Wayne State University, 5050 Anthony Wayne Drive, Detroit, MI, 48202, USA
- Department of Biomedical Engineering, College of Engineering, Wayne State University, 5050 Anthony Wayne Drive, Detroit, MI, 48202, USA
- Smart Sensors and Integrated Microsystems Program, Wayne State University, Detroit, MI, 48202, USA
| | - Changhe Huang
- Michael and Marian Ilitch Department of Surgery, School of Medicine, Wayne State University, 5050 Anthony Wayne Drive, Detroit, MI, 48202, USA
- Department of Biomedical Engineering, College of Engineering, Wayne State University, 5050 Anthony Wayne Drive, Detroit, MI, 48202, USA
- Smart Sensors and Integrated Microsystems Program, Wayne State University, Detroit, MI, 48202, USA
| | - Brandy Broadbent
- Department of Biomedical Engineering, College of Engineering, Wayne State University, 5050 Anthony Wayne Drive, Detroit, MI, 48202, USA
- Smart Sensors and Integrated Microsystems Program, Wayne State University, Detroit, MI, 48202, USA
| | - Micaela Trexler
- Department of Biomedical Engineering, College of Engineering, Wayne State University, 5050 Anthony Wayne Drive, Detroit, MI, 48202, USA
- Smart Sensors and Integrated Microsystems Program, Wayne State University, Detroit, MI, 48202, USA
| | - Zachary Auner
- Smart Sensors and Integrated Microsystems Program, Wayne State University, Detroit, MI, 48202, USA
- Department of Physics & Astronomy, Wayne State University, Detroit, MI, 48202, USA
| | - Angela Elias
- Department of Biomedical Engineering, College of Engineering, Wayne State University, 5050 Anthony Wayne Drive, Detroit, MI, 48202, USA
- Smart Sensors and Integrated Microsystems Program, Wayne State University, Detroit, MI, 48202, USA
| | - Katlyn Curtin Mehne
- Department of Biomedical Engineering, College of Engineering, Wayne State University, 5050 Anthony Wayne Drive, Detroit, MI, 48202, USA
- Smart Sensors and Integrated Microsystems Program, Wayne State University, Detroit, MI, 48202, USA
| | - Michelle A Brusatori
- Michael and Marian Ilitch Department of Surgery, School of Medicine, Wayne State University, 5050 Anthony Wayne Drive, Detroit, MI, 48202, USA
- Department of Biomedical Engineering, College of Engineering, Wayne State University, 5050 Anthony Wayne Drive, Detroit, MI, 48202, USA
- Smart Sensors and Integrated Microsystems Program, Wayne State University, Detroit, MI, 48202, USA
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Figueroa B, Fu W, Nguyen T, Shin K, Manifold B, Wise F, Fu D. Broadband hyperspectral stimulated Raman scattering microscopy with a parabolic fiber amplifier source. BIOMEDICAL OPTICS EXPRESS 2018; 9:6116-6131. [PMID: 31065417 PMCID: PMC6490995 DOI: 10.1364/boe.9.006116] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Revised: 10/17/2018] [Accepted: 11/02/2018] [Indexed: 05/04/2023]
Abstract
Hyperspectral stimulated Raman scattering (hsSRS) microscopy has recently emerged as a powerful non-destructive technique for the label-free chemical imaging of biological samples. In most hsSRS imaging experiments, the SRS spectral range is limited by the total bandwidth of the excitation laser to ~300 cm-1 and a spectral resolution of ~25 cm-1. Here we present a novel approach for broadband hsSRS microscopy based on parabolic fiber amplification to provide linearly chirped broadened Stokes pulses. This novel hsSRS instrument provides >600 cm-1 spectral coverage and ~10 cm-1 spectral resolution. We further demonstrated broadband hsSRS imaging of the entire Raman fingerprint region for resolving the distribution of major biomolecules in fixed cells. Moreover, we applied broadband hsSRS in imaging amyloid plaques in human brain tissue with Alzheimer's disease.
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Affiliation(s)
- Benjamin Figueroa
- Department of Chemistry, University of Washington, Seattle, WA 98195, USA
| | - Walter Fu
- School of Applied and Engineering Physics, Cornell University, Ithaca, NY 14853, USA
| | - Tai Nguyen
- Department of Chemistry, University of Washington, Seattle, WA 98195, USA
- Current address: Department of Chemistry, University of Southern California, Los Angeles, CA 90089, USA
| | - Kseniya Shin
- Department of Chemistry, University of Washington, Seattle, WA 98195, USA
- School of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Bryce Manifold
- Department of Chemistry, University of Washington, Seattle, WA 98195, USA
| | - Frank Wise
- School of Applied and Engineering Physics, Cornell University, Ithaca, NY 14853, USA
| | - Dan Fu
- Department of Chemistry, University of Washington, Seattle, WA 98195, USA
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128
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Himmel LE, Hackett TA, Moore JL, Adams WR, Thomas G, Novitskaya T, Caprioli RM, Zijlstra A, Mahadevan-Jansen A, Boyd KL. Beyond the H&E: Advanced Technologies for in situ Tissue Biomarker Imaging. ILAR J 2018; 59:51-65. [PMID: 30462242 PMCID: PMC6645175 DOI: 10.1093/ilar/ily004] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Revised: 04/27/2018] [Accepted: 06/05/2018] [Indexed: 02/07/2023] Open
Abstract
For decades, histopathology with routine hematoxylin and eosin staining has been and remains the gold standard for reaching a morphologic diagnosis in tissue samples from humans and veterinary species. However, within the past decade, there has been exponential growth in advanced techniques for in situ tissue biomarker imaging that bridge the divide between anatomic and molecular pathology. It is now possible to simultaneously observe localization and expression magnitude of multiple protein, nucleic acid, and molecular targets in tissue sections and apply machine learning to synthesize vast, image-derived datasets. As these technologies become more sophisticated and widely available, a team-science approach involving subspecialists with medical, engineering, and physics backgrounds is critical to upholding quality and validity in studies generating these data. The purpose of this manuscript is to detail the scientific premise, tools and training, quality control, and data collection and analysis considerations needed for the most prominent advanced imaging technologies currently applied in tissue sections: immunofluorescence, in situ hybridization, laser capture microdissection, matrix-assisted laser desorption ionization imaging mass spectrometry, and spectroscopic/optical methods. We conclude with a brief overview of future directions for ex vivo and in vivo imaging techniques.
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Affiliation(s)
- Lauren E Himmel
- Lauren E. Himmel, DVM, PhD, is an assistant professor and veterinary pathologist in the Division of Comparative Medicine at Vanderbilt University Medical Center in Nashville, Tennessee. Troy A. Hackett, PhD, is a professor in the Department of Hearing and Speech Sciences at Vanderbilt University Medical Center in Nashville, Tennessee. Jessica L. Moore, PhD, is a postdoctoral research fellow in the Mass Spectrometry Research Center at the Vanderbilt University School of Medicine in Nashville, Tennessee. Wilson R. Adams, BS, is graduate student in the Biophotonics Center and Department of Biomedical Engineering at Vanderbilt University in Nashville, Tennessee. Giju Thomas, PhD, is a post-doctoral researcher in the Biophotonics Center and Department of Biomedical Engineering at Vanderbilt University in Nashville, Tennessee. Tatiana Novitskaya, MD, PhD, is a staff scientist in the Department of Pathology, Microbiology and Immunology at Vanderbilt University Medical Center. Richard M. Caprioli, PhD, is a professor in the Department of Chemistry at the Vanderbilt University School of Medicine in Nashville, Tennessee. Andries Zijlstra, PhD, is an associate professor in the Department of Pathology, Microbiology and Immunology at Vanderbilt University Medical Center in Nashville, Tennessee. Anita Mahadevan-Jansen, PhD, is a professor in the Department of Biomedical Engineering at the Vanderbilt University School of Engineering and Department of Neurosurgery at Vanderbilt University Medical Center in Nashville, Tennessee. Kelli L. Boyd, DVM, PhD, is a professor and veterinary pathologist in the Division of Comparative Medicine at Vanderbilt University Medical Center in Nashville, Tennessee
| | - Troy A Hackett
- Lauren E. Himmel, DVM, PhD, is an assistant professor and veterinary pathologist in the Division of Comparative Medicine at Vanderbilt University Medical Center in Nashville, Tennessee. Troy A. Hackett, PhD, is a professor in the Department of Hearing and Speech Sciences at Vanderbilt University Medical Center in Nashville, Tennessee. Jessica L. Moore, PhD, is a postdoctoral research fellow in the Mass Spectrometry Research Center at the Vanderbilt University School of Medicine in Nashville, Tennessee. Wilson R. Adams, BS, is graduate student in the Biophotonics Center and Department of Biomedical Engineering at Vanderbilt University in Nashville, Tennessee. Giju Thomas, PhD, is a post-doctoral researcher in the Biophotonics Center and Department of Biomedical Engineering at Vanderbilt University in Nashville, Tennessee. Tatiana Novitskaya, MD, PhD, is a staff scientist in the Department of Pathology, Microbiology and Immunology at Vanderbilt University Medical Center. Richard M. Caprioli, PhD, is a professor in the Department of Chemistry at the Vanderbilt University School of Medicine in Nashville, Tennessee. Andries Zijlstra, PhD, is an associate professor in the Department of Pathology, Microbiology and Immunology at Vanderbilt University Medical Center in Nashville, Tennessee. Anita Mahadevan-Jansen, PhD, is a professor in the Department of Biomedical Engineering at the Vanderbilt University School of Engineering and Department of Neurosurgery at Vanderbilt University Medical Center in Nashville, Tennessee. Kelli L. Boyd, DVM, PhD, is a professor and veterinary pathologist in the Division of Comparative Medicine at Vanderbilt University Medical Center in Nashville, Tennessee
| | - Jessica L Moore
- Lauren E. Himmel, DVM, PhD, is an assistant professor and veterinary pathologist in the Division of Comparative Medicine at Vanderbilt University Medical Center in Nashville, Tennessee. Troy A. Hackett, PhD, is a professor in the Department of Hearing and Speech Sciences at Vanderbilt University Medical Center in Nashville, Tennessee. Jessica L. Moore, PhD, is a postdoctoral research fellow in the Mass Spectrometry Research Center at the Vanderbilt University School of Medicine in Nashville, Tennessee. Wilson R. Adams, BS, is graduate student in the Biophotonics Center and Department of Biomedical Engineering at Vanderbilt University in Nashville, Tennessee. Giju Thomas, PhD, is a post-doctoral researcher in the Biophotonics Center and Department of Biomedical Engineering at Vanderbilt University in Nashville, Tennessee. Tatiana Novitskaya, MD, PhD, is a staff scientist in the Department of Pathology, Microbiology and Immunology at Vanderbilt University Medical Center. Richard M. Caprioli, PhD, is a professor in the Department of Chemistry at the Vanderbilt University School of Medicine in Nashville, Tennessee. Andries Zijlstra, PhD, is an associate professor in the Department of Pathology, Microbiology and Immunology at Vanderbilt University Medical Center in Nashville, Tennessee. Anita Mahadevan-Jansen, PhD, is a professor in the Department of Biomedical Engineering at the Vanderbilt University School of Engineering and Department of Neurosurgery at Vanderbilt University Medical Center in Nashville, Tennessee. Kelli L. Boyd, DVM, PhD, is a professor and veterinary pathologist in the Division of Comparative Medicine at Vanderbilt University Medical Center in Nashville, Tennessee
| | - Wilson R Adams
- Lauren E. Himmel, DVM, PhD, is an assistant professor and veterinary pathologist in the Division of Comparative Medicine at Vanderbilt University Medical Center in Nashville, Tennessee. Troy A. Hackett, PhD, is a professor in the Department of Hearing and Speech Sciences at Vanderbilt University Medical Center in Nashville, Tennessee. Jessica L. Moore, PhD, is a postdoctoral research fellow in the Mass Spectrometry Research Center at the Vanderbilt University School of Medicine in Nashville, Tennessee. Wilson R. Adams, BS, is graduate student in the Biophotonics Center and Department of Biomedical Engineering at Vanderbilt University in Nashville, Tennessee. Giju Thomas, PhD, is a post-doctoral researcher in the Biophotonics Center and Department of Biomedical Engineering at Vanderbilt University in Nashville, Tennessee. Tatiana Novitskaya, MD, PhD, is a staff scientist in the Department of Pathology, Microbiology and Immunology at Vanderbilt University Medical Center. Richard M. Caprioli, PhD, is a professor in the Department of Chemistry at the Vanderbilt University School of Medicine in Nashville, Tennessee. Andries Zijlstra, PhD, is an associate professor in the Department of Pathology, Microbiology and Immunology at Vanderbilt University Medical Center in Nashville, Tennessee. Anita Mahadevan-Jansen, PhD, is a professor in the Department of Biomedical Engineering at the Vanderbilt University School of Engineering and Department of Neurosurgery at Vanderbilt University Medical Center in Nashville, Tennessee. Kelli L. Boyd, DVM, PhD, is a professor and veterinary pathologist in the Division of Comparative Medicine at Vanderbilt University Medical Center in Nashville, Tennessee
| | - Giju Thomas
- Lauren E. Himmel, DVM, PhD, is an assistant professor and veterinary pathologist in the Division of Comparative Medicine at Vanderbilt University Medical Center in Nashville, Tennessee. Troy A. Hackett, PhD, is a professor in the Department of Hearing and Speech Sciences at Vanderbilt University Medical Center in Nashville, Tennessee. Jessica L. Moore, PhD, is a postdoctoral research fellow in the Mass Spectrometry Research Center at the Vanderbilt University School of Medicine in Nashville, Tennessee. Wilson R. Adams, BS, is graduate student in the Biophotonics Center and Department of Biomedical Engineering at Vanderbilt University in Nashville, Tennessee. Giju Thomas, PhD, is a post-doctoral researcher in the Biophotonics Center and Department of Biomedical Engineering at Vanderbilt University in Nashville, Tennessee. Tatiana Novitskaya, MD, PhD, is a staff scientist in the Department of Pathology, Microbiology and Immunology at Vanderbilt University Medical Center. Richard M. Caprioli, PhD, is a professor in the Department of Chemistry at the Vanderbilt University School of Medicine in Nashville, Tennessee. Andries Zijlstra, PhD, is an associate professor in the Department of Pathology, Microbiology and Immunology at Vanderbilt University Medical Center in Nashville, Tennessee. Anita Mahadevan-Jansen, PhD, is a professor in the Department of Biomedical Engineering at the Vanderbilt University School of Engineering and Department of Neurosurgery at Vanderbilt University Medical Center in Nashville, Tennessee. Kelli L. Boyd, DVM, PhD, is a professor and veterinary pathologist in the Division of Comparative Medicine at Vanderbilt University Medical Center in Nashville, Tennessee
| | - Tatiana Novitskaya
- Lauren E. Himmel, DVM, PhD, is an assistant professor and veterinary pathologist in the Division of Comparative Medicine at Vanderbilt University Medical Center in Nashville, Tennessee. Troy A. Hackett, PhD, is a professor in the Department of Hearing and Speech Sciences at Vanderbilt University Medical Center in Nashville, Tennessee. Jessica L. Moore, PhD, is a postdoctoral research fellow in the Mass Spectrometry Research Center at the Vanderbilt University School of Medicine in Nashville, Tennessee. Wilson R. Adams, BS, is graduate student in the Biophotonics Center and Department of Biomedical Engineering at Vanderbilt University in Nashville, Tennessee. Giju Thomas, PhD, is a post-doctoral researcher in the Biophotonics Center and Department of Biomedical Engineering at Vanderbilt University in Nashville, Tennessee. Tatiana Novitskaya, MD, PhD, is a staff scientist in the Department of Pathology, Microbiology and Immunology at Vanderbilt University Medical Center. Richard M. Caprioli, PhD, is a professor in the Department of Chemistry at the Vanderbilt University School of Medicine in Nashville, Tennessee. Andries Zijlstra, PhD, is an associate professor in the Department of Pathology, Microbiology and Immunology at Vanderbilt University Medical Center in Nashville, Tennessee. Anita Mahadevan-Jansen, PhD, is a professor in the Department of Biomedical Engineering at the Vanderbilt University School of Engineering and Department of Neurosurgery at Vanderbilt University Medical Center in Nashville, Tennessee. Kelli L. Boyd, DVM, PhD, is a professor and veterinary pathologist in the Division of Comparative Medicine at Vanderbilt University Medical Center in Nashville, Tennessee
| | - Richard M Caprioli
- Lauren E. Himmel, DVM, PhD, is an assistant professor and veterinary pathologist in the Division of Comparative Medicine at Vanderbilt University Medical Center in Nashville, Tennessee. Troy A. Hackett, PhD, is a professor in the Department of Hearing and Speech Sciences at Vanderbilt University Medical Center in Nashville, Tennessee. Jessica L. Moore, PhD, is a postdoctoral research fellow in the Mass Spectrometry Research Center at the Vanderbilt University School of Medicine in Nashville, Tennessee. Wilson R. Adams, BS, is graduate student in the Biophotonics Center and Department of Biomedical Engineering at Vanderbilt University in Nashville, Tennessee. Giju Thomas, PhD, is a post-doctoral researcher in the Biophotonics Center and Department of Biomedical Engineering at Vanderbilt University in Nashville, Tennessee. Tatiana Novitskaya, MD, PhD, is a staff scientist in the Department of Pathology, Microbiology and Immunology at Vanderbilt University Medical Center. Richard M. Caprioli, PhD, is a professor in the Department of Chemistry at the Vanderbilt University School of Medicine in Nashville, Tennessee. Andries Zijlstra, PhD, is an associate professor in the Department of Pathology, Microbiology and Immunology at Vanderbilt University Medical Center in Nashville, Tennessee. Anita Mahadevan-Jansen, PhD, is a professor in the Department of Biomedical Engineering at the Vanderbilt University School of Engineering and Department of Neurosurgery at Vanderbilt University Medical Center in Nashville, Tennessee. Kelli L. Boyd, DVM, PhD, is a professor and veterinary pathologist in the Division of Comparative Medicine at Vanderbilt University Medical Center in Nashville, Tennessee
| | - Andries Zijlstra
- Lauren E. Himmel, DVM, PhD, is an assistant professor and veterinary pathologist in the Division of Comparative Medicine at Vanderbilt University Medical Center in Nashville, Tennessee. Troy A. Hackett, PhD, is a professor in the Department of Hearing and Speech Sciences at Vanderbilt University Medical Center in Nashville, Tennessee. Jessica L. Moore, PhD, is a postdoctoral research fellow in the Mass Spectrometry Research Center at the Vanderbilt University School of Medicine in Nashville, Tennessee. Wilson R. Adams, BS, is graduate student in the Biophotonics Center and Department of Biomedical Engineering at Vanderbilt University in Nashville, Tennessee. Giju Thomas, PhD, is a post-doctoral researcher in the Biophotonics Center and Department of Biomedical Engineering at Vanderbilt University in Nashville, Tennessee. Tatiana Novitskaya, MD, PhD, is a staff scientist in the Department of Pathology, Microbiology and Immunology at Vanderbilt University Medical Center. Richard M. Caprioli, PhD, is a professor in the Department of Chemistry at the Vanderbilt University School of Medicine in Nashville, Tennessee. Andries Zijlstra, PhD, is an associate professor in the Department of Pathology, Microbiology and Immunology at Vanderbilt University Medical Center in Nashville, Tennessee. Anita Mahadevan-Jansen, PhD, is a professor in the Department of Biomedical Engineering at the Vanderbilt University School of Engineering and Department of Neurosurgery at Vanderbilt University Medical Center in Nashville, Tennessee. Kelli L. Boyd, DVM, PhD, is a professor and veterinary pathologist in the Division of Comparative Medicine at Vanderbilt University Medical Center in Nashville, Tennessee
| | - Anita Mahadevan-Jansen
- Lauren E. Himmel, DVM, PhD, is an assistant professor and veterinary pathologist in the Division of Comparative Medicine at Vanderbilt University Medical Center in Nashville, Tennessee. Troy A. Hackett, PhD, is a professor in the Department of Hearing and Speech Sciences at Vanderbilt University Medical Center in Nashville, Tennessee. Jessica L. Moore, PhD, is a postdoctoral research fellow in the Mass Spectrometry Research Center at the Vanderbilt University School of Medicine in Nashville, Tennessee. Wilson R. Adams, BS, is graduate student in the Biophotonics Center and Department of Biomedical Engineering at Vanderbilt University in Nashville, Tennessee. Giju Thomas, PhD, is a post-doctoral researcher in the Biophotonics Center and Department of Biomedical Engineering at Vanderbilt University in Nashville, Tennessee. Tatiana Novitskaya, MD, PhD, is a staff scientist in the Department of Pathology, Microbiology and Immunology at Vanderbilt University Medical Center. Richard M. Caprioli, PhD, is a professor in the Department of Chemistry at the Vanderbilt University School of Medicine in Nashville, Tennessee. Andries Zijlstra, PhD, is an associate professor in the Department of Pathology, Microbiology and Immunology at Vanderbilt University Medical Center in Nashville, Tennessee. Anita Mahadevan-Jansen, PhD, is a professor in the Department of Biomedical Engineering at the Vanderbilt University School of Engineering and Department of Neurosurgery at Vanderbilt University Medical Center in Nashville, Tennessee. Kelli L. Boyd, DVM, PhD, is a professor and veterinary pathologist in the Division of Comparative Medicine at Vanderbilt University Medical Center in Nashville, Tennessee
| | - Kelli L Boyd
- Lauren E. Himmel, DVM, PhD, is an assistant professor and veterinary pathologist in the Division of Comparative Medicine at Vanderbilt University Medical Center in Nashville, Tennessee. Troy A. Hackett, PhD, is a professor in the Department of Hearing and Speech Sciences at Vanderbilt University Medical Center in Nashville, Tennessee. Jessica L. Moore, PhD, is a postdoctoral research fellow in the Mass Spectrometry Research Center at the Vanderbilt University School of Medicine in Nashville, Tennessee. Wilson R. Adams, BS, is graduate student in the Biophotonics Center and Department of Biomedical Engineering at Vanderbilt University in Nashville, Tennessee. Giju Thomas, PhD, is a post-doctoral researcher in the Biophotonics Center and Department of Biomedical Engineering at Vanderbilt University in Nashville, Tennessee. Tatiana Novitskaya, MD, PhD, is a staff scientist in the Department of Pathology, Microbiology and Immunology at Vanderbilt University Medical Center. Richard M. Caprioli, PhD, is a professor in the Department of Chemistry at the Vanderbilt University School of Medicine in Nashville, Tennessee. Andries Zijlstra, PhD, is an associate professor in the Department of Pathology, Microbiology and Immunology at Vanderbilt University Medical Center in Nashville, Tennessee. Anita Mahadevan-Jansen, PhD, is a professor in the Department of Biomedical Engineering at the Vanderbilt University School of Engineering and Department of Neurosurgery at Vanderbilt University Medical Center in Nashville, Tennessee. Kelli L. Boyd, DVM, PhD, is a professor and veterinary pathologist in the Division of Comparative Medicine at Vanderbilt University Medical Center in Nashville, Tennessee
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In Vivo Real-Time Discrimination Among Glioma, Infiltration Zone, and Normal Brain Tissue via Autofluorescence Technology. World Neurosurg 2018; 122:e773-e782. [PMID: 30391621 DOI: 10.1016/j.wneu.2018.10.144] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Revised: 10/19/2018] [Accepted: 10/22/2018] [Indexed: 01/01/2023]
Abstract
BACKGROUND Surgery is the first-line therapy for glioblastoma. There is evidence that extent of resection is significantly associated with patient survival. Unfortunately, optimal surgical resection is usually limited because of the difficulty in discriminating tumor-infiltrated region and normal brain tissue. This study aimed to develop a tool to distinguish between infiltration zone and normal tissue in real time during glioma surgery. METHODS In an in vivo study, C6 glioma cells were implanted into the left cerebral hemispheres of 6 rats to mimic tumorigenesis. A newly designed optical fiber-embedded needle probe was used to measure the autofluorescence of both cerebral hemispheres at various depths 5 days after the implantation. These rats were then sacrificed, and both cerebral hemispheres were removed for histopathologic analysis. RESULTS Comparative analyses of corresponding areas by histopathology and autofluorescence revealed highly significant (P < 0.001) differences among the normal tissue, infiltration zone, tumors, and the contralateral cerebral hemispheres. The area of the receiver operating characteristic curve was 0.978, and the sensitivity and specificity of tumor delineation were 93.9% and 94.4%, respectively. CONCLUSIONS The newly designed in vivo fiber-optic probe can distinguish tumor-infiltration zones from normal brain tissue in this in vivo study. Therefore, it may help neurosurgeons to increase extent of resection without damaging normal brain tissue and thus potentially improve the patients' survival and quality of life.
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Ji M, Arbel M, Zhang L, Freudiger CW, Hou SS, Lin D, Yang X, Bacskai BJ, Xie XS. Label-free imaging of amyloid plaques in Alzheimer's disease with stimulated Raman scattering microscopy. SCIENCE ADVANCES 2018; 4:eaat7715. [PMID: 30456301 PMCID: PMC6239428 DOI: 10.1126/sciadv.aat7715] [Citation(s) in RCA: 85] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Accepted: 10/19/2018] [Indexed: 05/18/2023]
Abstract
One of the key pathological features of Alzheimer's disease (AD) is the existence of extracellular deposition of amyloid plaques formed with misfolded amyloid-β (Aβ). The conformational change of proteins leads to enriched contents of β sheets, resulting in remarkable changes of vibrational spectra, especially the spectral shifts of the amide I mode. Here, we applied stimulated Raman scattering (SRS) microscopy to image amyloid plaques in the brain tissue of an AD mouse model. We have demonstrated the capability of SRS microscopy as a rapid, label-free imaging modality to differentiate misfolded from normal proteins based on the blue shift (~10 cm-1) of amide I SRS spectra. Furthermore, SRS imaging of Aβ plaques was verified by antibody staining of frozen thin sections and fluorescence imaging of fresh tissues. Our method may provide a new approach for studies of AD pathology, as well as other neurodegenerative diseases associated with protein misfolding.
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Affiliation(s)
- Minbiao Ji
- State Key Laboratory of Surface Physics and Department of Physics, Multiscale Research Institute of Complex Systems, Human Phenome Institute, Key Laboratory of Micro and Nano Photonics Structures (Ministry of Education), Fudan University, Shanghai 200433, China
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA
- Corresponding author. (X.S.X.); (B.J.B.); (M.J.)
| | - Michal Arbel
- Alzheimer’s Disease Research Laboratory, Department of Neurology, MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA
| | - Lili Zhang
- State Key Laboratory of Surface Physics and Department of Physics, Multiscale Research Institute of Complex Systems, Human Phenome Institute, Key Laboratory of Micro and Nano Photonics Structures (Ministry of Education), Fudan University, Shanghai 200433, China
| | | | - Steven S. Hou
- Alzheimer’s Disease Research Laboratory, Department of Neurology, MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA
| | - Dongdong Lin
- State Key Laboratory of Surface Physics and Department of Physics, Multiscale Research Institute of Complex Systems, Human Phenome Institute, Key Laboratory of Micro and Nano Photonics Structures (Ministry of Education), Fudan University, Shanghai 200433, China
| | - Xinju Yang
- State Key Laboratory of Surface Physics and Department of Physics, Multiscale Research Institute of Complex Systems, Human Phenome Institute, Key Laboratory of Micro and Nano Photonics Structures (Ministry of Education), Fudan University, Shanghai 200433, China
| | - Brian J. Bacskai
- Alzheimer’s Disease Research Laboratory, Department of Neurology, MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA
- Corresponding author. (X.S.X.); (B.J.B.); (M.J.)
| | - X. Sunney Xie
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA
- Corresponding author. (X.S.X.); (B.J.B.); (M.J.)
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Bae K, Zheng W, Lin K, Lim SW, Chong YK, Tang C, King NK, Ti Ang CB, Huang Z. Epi-Detected Hyperspectral Stimulated Raman Scattering Microscopy for Label-Free Molecular Subtyping of Glioblastomas. Anal Chem 2018; 90:10249-10255. [PMID: 30070837 DOI: 10.1021/acs.analchem.8b01677] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
We report the development and implementation of an epi-detected spectral-focusing hyperspectral stimulated Raman scattering (SRS) imaging technique for label-free biomolecular subtyping of glioblastomas (GBMs). The hyperspectral SRS imaging technique developed generates SRS image stacks (from 2800 to 3020 cm-1 at 7 cm-1 intervals) within 30 s through controlling the time delay between the chirped pump and Stokes beams. SRS images at representative Raman shifts (e.g., 2845, 2885, and 2935 cm-1) delineate the biochemical variations and morphological differences between proneural and mesenchymal subtypes of GBMs. Multivariate curve resolution (MCR) analysis on hyperspectral SRS images enables the quantification of major biomolecule distributions in mesenchymal and proneural GBMs. Further principal component analysis (PCA) and linear discriminant analysis (LDA) together with leave-one SRS spectrum-out, cross-validation (LOOCV) yields a diagnostic sensitivity of 96.7% (29/30) and specificity of 88.9% (28/36) for differentiation between mesenchymal and proneural subtypes of GBMs. This study shows great potential of applying hyperspectral SRS imaging technique developed for rapid, label-free molecular subtyping of GBMs in neurosurgery.
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Affiliation(s)
- Kideog Bae
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering , National University of Singapore , Singapore 117576
| | - Wei Zheng
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering , National University of Singapore , Singapore 117576.,Department of Medicine, Yong Loo Lin School of Medicine , National University of Singapore , Singapore 119260
| | - Kan Lin
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering , National University of Singapore , Singapore 117576.,Department of Medicine, Yong Loo Lin School of Medicine , National University of Singapore , Singapore 119260
| | - See Wee Lim
- National Neuroscience Institute , Singapore 308433
| | | | - Carol Tang
- National Neuroscience Institute , Singapore 308433.,Duke-National University of Singapore Medical School , Singapore 169857.,Division of Cellular and Molecular Research , Humphrey Oei Institute of Cancer Research, National Cancer Centre , Singapore 169610
| | - Nicolas K King
- National Neuroscience Institute , Singapore 308433.,Duke-National University of Singapore Medical School , Singapore 169857
| | - Christopher Beng Ti Ang
- National Neuroscience Institute , Singapore 308433.,Duke-National University of Singapore Medical School , Singapore 169857.,Department of Physiology, Yong Loo Lin School of Medicine , National University of Singapore , Singapore 117597.,Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR) , Singapore 117609
| | - Zhiwei Huang
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering , National University of Singapore , Singapore 117576
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Abstract
Optical microscopy has generated great impact for modern research. While fluorescence microscopy provides the ultimate sensitivity, it generally lacks chemical information. Complementarily, vibrational imaging methods provide rich chemical-bond-specific contrasts. Nonetheless, they usually suffer from unsatisfying sensitivity or compromised biocompatibility. Recently, electronic preresonance stimulated Raman scattering (EPR-SRS) microscopy was reported, achieving simultaneous high detection sensitivity and superb vibrational specificity of chromophores. With newly synthesized Raman-active dyes, this method readily breaks the optical color barrier of fluorescence microscopy and is well-suited for supermultiplex imaging in biological samples. In this Perspective, we first review previous utilizations of electronic resonance in various Raman spectroscopy and microscopy. We then discuss the physical origin and uniqueness of the electronic preresonance region, followed by quantitative analysis of the enhancement factors involved in EPR-SRS microscopy. On this basis, we provide an outlook for future development as well as the broad applications in biophotonics.
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Abstract
Histopathology plays a central role in diagnosis of many diseases including solid cancers. Efforts are underway to transform this subjective art to an objective and quantitative science. Coherent Raman imaging (CRI), a label-free imaging modality with sub-cellular spatial resolution and molecule-specific contrast possesses characteristics which could support the qualitative-to-quantitative transition of histopathology. In this work we briefly survey major themes related to modernization of histopathology, review applications of CRI to histopathology and, finally, discuss potential roles for CRI in the transformation of histopathology that is already underway.
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Fan Y, Sun Y, Chang W, Zhang X, Tang J, Zhang L, Liao H. Bioluminescence imaging and two-photon microscopy guided laser ablation of GBM decreases tumor burden. Am J Cancer Res 2018; 8:4072-4085. [PMID: 30128037 PMCID: PMC6096384 DOI: 10.7150/thno.25357] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2018] [Accepted: 05/03/2018] [Indexed: 11/25/2022] Open
Abstract
Brain tumor delineation and treatment are the main concerns of neurosurgeons in neurosurgical operations. Bridging the gap between imaging/diagnosis and treatment will provide great convenience for neurosurgeons. Here, we developed an optical theranostics platform that helps to delineate the boundary and quantitatively analyze glioblastoma multiforms (GBMs) with bioluminescence imaging (BLI) to guide laser ablation, and we imaged the GBM cells with two-photon microscopy (TPM) to visualize the laser ablation zone in vivo. Methods: Laser ablation, using the method of coupled ablated path planning with the guidance of BLI, was implemented in vivo for mouse brain tumors. The mapping relationship between semi-quantitative BLI and the laser ablation path was built through the quantitative tumor burden. The mapping was reflected through coupled ablated path planning. The BLI quantitatively and qualitatively evaluated treatment using laser ablation with the appropriate laser parameters and laser-tissue parameters. These parameters were measured after treatment. Furthermore, histopathological analysis of the brain tissue was conducted to compare the TPM images before and after laser ablation and to evaluate the results of in vivo laser ablation. The local recurrences were measured with three separate cohorts. The weights of all of the mice were measured during the experiment. Results: Our in vivo BLI data show that the tumor cell numbers were significantly attenuated after treatment with the optical theranostics platform, and the delineation of GBM margins had clear views to guide the laser resection; the fluorescence intensity in vivo of GBMs quantitatively analyzed the rapid progression of GBMs. The laser-tissue parameters under guidance of multimodality imaging ranged between 1.0 mm and 0.1 mm. The accuracy of the laser ablation reached a submillimeter level, and the resection ratio reached more than 99% under the guidance of BLI. The histopathological sections were compared to TPM images, and the results demonstrated that these images highly coincided. The weight index and local recurrence results demonstrated that the therapeutic effect of the optical theranostics platform was significant. Conclusion: We propose an optical multimodality imaging-guided laser ablation theranostics platform for the treatment of GBMs in an intravital mouse model. The experimental results demonstrated that the integration of multimodality imaging can precisely guide laser ablation for the treatment of GBMs. This preclinical research provides a possibility for the precision treatment of GBMs. The study also provides some theoretical support for clinical research.
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Zhang L, Zou X, Zhang B, Cui L, Zhang J, Mao Y, Chen L, Ji M. Label-free imaging of hemoglobin degradation and hemosiderin formation in brain tissues with femtosecond pump-probe microscopy. Theranostics 2018; 8:4129-4140. [PMID: 30128041 PMCID: PMC6096394 DOI: 10.7150/thno.26946] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Accepted: 06/15/2018] [Indexed: 12/23/2022] Open
Abstract
The degradation of hemoglobin in brain tissues results in the deposition of hemosiderin, which is a major form of iron-storage protein and closely related to neurological disorders such as epilepsy. Optical detection of hemosiderin is vitally important yet challenging for the understanding of disease mechanisms, as well as improving surgical resection of brain lesions. Here, we provide the first label-free microscopy study of sensitive hemosiderin detection in both an animal model and human brain tissues. Methods: We applied spectrally and temporally resolved femtosecond pump-probe microscopy, including transient absorption (TA) and stimulated Raman scattering (SRS) techniques, to differentiate hemoglobin and hemosiderin in brain tissues. The label-free imaging results were compared with Perls' staining to evaluate our method for hemosiderin detection. Results: Significant differences between hemoglobin and hemosiderin transient spectra were discovered. While a strong ground-state bleaching feature of hemoglobin appears in the near-infrared region, hemosiderin demonstrates pure excited-state absorption dynamics, which could be explained by our proposed kinetic model. Furthermore, simultaneous imaging of hemoglobin and hemosiderin can be rapidly achieved in both an intracerebral hemorrhage (ICH) rat model and human brain surgical specimens, with perfect correlation with Perls' staining. Conclusion: Our results suggest that rapid, label-free detection of hemosiderin in brain tissues could be realized by femtosecond pump-probe microscopy. Our method holds great potential in providing a new tool for intraoperative detection of hemosiderin during brain surgeries.
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Affiliation(s)
- Lili Zhang
- State Key Laboratory of Surface Physics and Department of Physics, Collaborative Innovation Center of Genetics and Development, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Fudan University, Shanghai 200433, China
| | - Xiang Zou
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Bohan Zhang
- State Key Laboratory of Surface Physics and Department of Physics, Collaborative Innovation Center of Genetics and Development, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Fudan University, Shanghai 200433, China
| | - Liyuan Cui
- State Key Laboratory of Medical Neurobiology, Institute of Bain Science, Department of Ophthalmology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Jiayi Zhang
- State Key Laboratory of Medical Neurobiology, Institute of Bain Science, Department of Ophthalmology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Ying Mao
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Liang Chen
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Minbiao Ji
- State Key Laboratory of Surface Physics and Department of Physics, Collaborative Innovation Center of Genetics and Development, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Fudan University, Shanghai 200433, China
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Bury D, Faust G, Paraskevaidi M, Ashton KM, Dawson TP, Martin FL. Phenotyping Metastatic Brain Tumors Applying Spectrochemical Analyses: Segregation of Different Cancer Types. ANAL LETT 2018. [DOI: 10.1080/00032719.2018.1479412] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Affiliation(s)
- Danielle Bury
- School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, UK
| | - Guy Faust
- Department of Oncology, University Hospitals of Leicester NHS Trust, Leicester, Leicestershire, UK
| | - Maria Paraskevaidi
- School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, UK
| | - Katherine M. Ashton
- Department of Neuropathology, Royal Preston Hospital, Lancashire Teaching Hospitals NHS Trust, Preston, UK
| | - Timothy P. Dawson
- Department of Neuropathology, Royal Preston Hospital, Lancashire Teaching Hospitals NHS Trust, Preston, UK
| | - Francis L. Martin
- School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, UK
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Raman Spectroscopy and Imaging for Cancer Diagnosis. JOURNAL OF HEALTHCARE ENGINEERING 2018; 2018:8619342. [PMID: 29977484 PMCID: PMC6011081 DOI: 10.1155/2018/8619342] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/31/2018] [Accepted: 05/12/2018] [Indexed: 12/20/2022]
Abstract
Raman scattering has long been used to analyze chemical compositions in biological systems. Owing to its high chemical specificity and noninvasive detection capability, Raman scattering has been widely employed in cancer screening, diagnosis, and intraoperative surgical guidance in the past ten years. In order to overcome the weak signal of spontaneous Raman scattering, coherent Raman scattering and surface-enhanced Raman scattering have been developed and recently applied in the field of cancer research. This review focuses on innovative studies of the use of Raman scattering in cancer diagnosis and their potential to transition from bench to bedside.
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138
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Zhang B, Sun M, Yang Y, Chen L, Zou X, Yang T, Hua Y, Ji M. Rapid, large-scale stimulated Raman histology with strip mosaicing and dual-phase detection. BIOMEDICAL OPTICS EXPRESS 2018; 9:2604-2613. [PMID: 30258676 PMCID: PMC6154204 DOI: 10.1364/boe.9.002604] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Revised: 05/07/2018] [Accepted: 05/08/2018] [Indexed: 05/21/2023]
Abstract
Two-color stimulated Raman scattering (SRS) microscopy with label-free mapping of lipid/protein distributions has shown promise in virtual histology. Despite previous demonstrations of SRS in tumor delineation and diagnosis, the speed and efficiency of the current technique requires further improvements for practical use. Here, we integrate parallel dual-phase SRS detection with strip mosaicing, which reduces the imaging time of a whole mouse brain section from 70 to 8 minutes. We further verified our method in imaging fresh human surgical tissues, showing its great potential for rapid SRS histology, especially for large scale, large quantity imaging tasks.
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Affiliation(s)
- Bohan Zhang
- State Key Laboratory of Surface Physics and Department of Physics, Collaborative Innovation Center of Genetics and Development, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Fudan University, Shanghai 200433, China
| | - Mengxiong Sun
- Department of Orthopedics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China
| | - Yifan Yang
- State Key Laboratory of Surface Physics and Department of Physics, Collaborative Innovation Center of Genetics and Development, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Fudan University, Shanghai 200433, China
| | - Lingchao Chen
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Xiang Zou
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Tian Yang
- Department of Hepatobiliary Surgery, the Eastern Hepatobiliary Surgery Hospital, the Second Military Medical University, Shanghai 200433, China
| | - Yingqi Hua
- Department of Orthopedics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China
| | - Minbiao Ji
- State Key Laboratory of Surface Physics and Department of Physics, Collaborative Innovation Center of Genetics and Development, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Fudan University, Shanghai 200433, China
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139
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Yan S, Cui S, Ke K, Zhao B, Liu X, Yue S, Wang P. Hyperspectral Stimulated Raman Scattering Microscopy Unravels Aberrant Accumulation of Saturated Fat in Human Liver Cancer. Anal Chem 2018; 90:6362-6366. [PMID: 29757615 DOI: 10.1021/acs.analchem.8b01312] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Lipid metabolism is dysregulated in human cancers. The analytical tools that could identify and quantitatively map metabolites in unprocessed human tissues with submicrometer resolution are highly desired. Here, we implemented analytical hyperspectral stimulated Raman scattering microscopy to map the lipid metabolites in situ in normal and cancerous liver tissues from 24 patients. In contrast to the conventional wisdom that unsaturated lipid accumulation enhances tumor cell survival and proliferation, we unexpectedly visualized substantial amount of saturated fat accumulated in cancerous liver tissues, which was not seen in majority of their adjacent normal tissues. Further analysis by mass spectrometry confirmed significant high levels of glyceryl tripalmitate specifically in cancerous liver. These findings suggest that the aberrantly accumulated saturated fat may have great potential to be a metabolic biomarker for liver cancer.
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Affiliation(s)
- Shuai Yan
- MoE Key Laboratory for Biomedical Photonics , Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology , Wuhan , 430074 , China
| | - Sishan Cui
- School of Biological Science and Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering , Beihang University , Beijing , 100083 , China
| | - Kun Ke
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province , Mengchao Hepatobiliary Hospital of Fujian Medical University , Fuzhou , 350025 , China
| | - Bixing Zhao
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province , Mengchao Hepatobiliary Hospital of Fujian Medical University , Fuzhou , 350025 , China
| | - Xiaolong Liu
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province , Mengchao Hepatobiliary Hospital of Fujian Medical University , Fuzhou , 350025 , China
| | - Shuhua Yue
- School of Biological Science and Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering , Beihang University , Beijing , 100083 , China
| | - Ping Wang
- MoE Key Laboratory for Biomedical Photonics , Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology , Wuhan , 430074 , China
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140
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Huang LC, Chang YC, Wu YS, Sun WL, Liu CC, Sze CI, Chen SY. Glioblastoma cells labeled by robust Raman tags for enhancing imaging contrast. BIOMEDICAL OPTICS EXPRESS 2018; 9:2142-2153. [PMID: 29760976 PMCID: PMC5946777 DOI: 10.1364/boe.9.002142] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Revised: 03/27/2018] [Accepted: 03/29/2018] [Indexed: 05/16/2023]
Abstract
Complete removal of a glioblastoma multiforme (GBM), a highly malignant brain tumor, is challenging due to its infiltrative characteristics. Therefore, utilizing imaging agents such as fluorophores to increase the contrast between GBM and normal cells can help neurosurgeons to locate residual cancer cells during image guided surgery. In this work, Raman tag based labeling and imaging for GBM cells in vitro is described and evaluated. The cell membrane of a GBM adsorbs a substantial amount of functionalized Raman tags through overexpression of the epidermal growth factor receptor (EGFR) and "broadcasts" stronger pre-defined Raman signals than normal cells. The average ratio between Raman signals from a GBM cell and autofluorescence from a normal cell can be up to 15. In addition, the intensity of these images is stable under laser illuminations without suffering from the severe photo-bleaching that usually occurs in fluorescent imaging. Our results show that labeling and imaging GBM cells via robust Raman tags is a viable alternative method to distinguish them from normal cells. This Raman tag based method can be used solely or integrated into an existing fluorescence system to improve the identification of infiltrative glial tumor cells around the boundary, which will further reduce GBM recurrence. In addition, it can also be applied/extended to other types of cancer to improve the effectiveness of image guided surgery.
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Affiliation(s)
- Li-Ching Huang
- Department of Photonics, National Cheng Kung University, Tainan, 70101, Taiwan
| | - Yung-Ching Chang
- Department of Photonics, National Cheng Kung University, Tainan, 70101, Taiwan
| | - Yi-Syuan Wu
- Departmet of Cell Biology and Anatomy, College of Medicine, National Cheng Kung University, Tainan, 70101, Taiwan
| | - Wei-Lun Sun
- Department of Photonics, National Cheng Kung University, Tainan, 70101, Taiwan
| | - Chan-Chuan Liu
- Institute of Basic Medical Sciences, College of Medicine, National Cheng Kung University, Tainan, 70101, Taiwan
| | - Chun-I Sze
- Departmet of Cell Biology and Anatomy, College of Medicine, National Cheng Kung University, Tainan, 70101, Taiwan
| | - Shiuan-Yeh Chen
- Department of Photonics, National Cheng Kung University, Tainan, 70101, Taiwan
- Advanced Optoelectronic Technology Center, National Cheng Kung University, Tainan, 70101, Taiwan
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141
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Osman H, Georges J, Elsahy D, Hattab EM, Yocom S, Cohen-Gadol AA. In Vivo Microscopy in Neurosurgical Oncology. World Neurosurg 2018; 115:110-127. [PMID: 29653276 DOI: 10.1016/j.wneu.2018.03.218] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Revised: 03/29/2018] [Accepted: 03/30/2018] [Indexed: 10/17/2022]
Abstract
Intraoperative neurosurgical histopathologic diagnoses rely on evaluation of rapid tissue preparations such as frozen sections and smears with conventional light microscopy. Although useful, these techniques are time consuming and therefore cannot provide real-time intraoperative feedback. In vivo molecular imaging techniques are emerging as novel methods for generating real-time diagnostic histopathologic images of tumors and their surrounding tissues. These imaging techniques rely on contrast generated by exogenous fluorescent dyes, autofluorescence of endogenous molecules, fluorescence decay of excited molecules, or light scattering. Large molecular imaging instruments are being miniaturized for clinical in vivo use. This review discusses pertinent imaging systems that have been developed for neurosurgical use and imaging techniques currently under development for neurosurgical molecular imaging.
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Affiliation(s)
- Hany Osman
- Massachusetts General Hospital and Harvard Medical School, Wellman Center for Photomedicine, Boston, Massachusetts, USA
| | - Joseph Georges
- Philadelphia College of Osteopathic Medicine, Department of Neurosurgery, Philadelphia, Pennsylvania, USA
| | - Deena Elsahy
- Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Eyas M Hattab
- University of Louisville, Department of Pathology and Laboratory Medicine, Louisville, Kentucky, USA
| | - Steven Yocom
- Philadelphia College of Osteopathic Medicine, Department of Neurosurgery, Philadelphia, Pennsylvania, USA
| | - Aaron A Cohen-Gadol
- Goodman Campbell Brain and Spine and Indiana University Department of Neurological Surgery, Indianapolis, Indiana, USA.
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142
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Lowenstein PR, Castro MG. Evolutionary basis of a new gene- and immune-therapeutic approach for the treatment of malignant brain tumors: from mice to clinical trials for glioma patients. Clin Immunol 2018; 189:43-51. [PMID: 28720549 PMCID: PMC5768465 DOI: 10.1016/j.clim.2017.07.006] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2016] [Revised: 07/14/2017] [Accepted: 07/14/2017] [Indexed: 02/06/2023]
Abstract
Glioma cells are one of the most aggressive and malignant tumors. Following initial surgery, and radio-chemotherapy they progress rapidly, so that patients' median survival remains under two years. They invade throughout the brain, which makes them difficult to treat, and are universally lethal. Though total resection is always attempted it is not curative. Standard of care in 2016 comprises surgical resection, radiotherapy and chemotherapy (temozolomide). Median survival is currently ~14-20months post-diagnosis though it can be higher in high complexity medical university centers, or during clinical trials. Why the immune system fails to recognize the growing brain tumor is not completely understood. We believe that one reason for this failure is that the brain lacks cells that perform the role that dendritic cells serve in other organs. The lack of functional dendritic cells from the brain causes the brain to be deficient in priming systemic immune responses to glioma antigens. To overcome this drawback we reconstituted the brain immune system for it to initiate and prime anti-glioma immune responses from within the brain. To achieve brain immune reconstitution adenoviral vectors are injected into the resection cavity or remaining tumor. One adenoviral vector expresses the HSV-1 derived thymidine kinase which converts ganciclovir into phospho-ganciclovir which becomes cytotoxic to dividing cells. The second adenovirus expresses the cytokine fms-like tyrosine kinase 3 ligand (Flt3L). Flt3L differentiates precursors into dendritic cells and acts as a chemokine for dendritic cells. This results in HSV-1/ganciclovir killing of tumor cells, and the release of tumor antigens, which are then taken up by dendritic cells recruited to the brain tumor microenvironment by Flt3L. Concomitant release of HMGB1, a TLR2 agonist that activates dendritic cells, stimulates dendritic cells loaded with glioma antigens to migrate to the cervical lymph nodes to prime a systemic CD8+ T cytotoxic killing of brain tumor cells. This induced immune response causes glioma-specific cytotoxicity, induces immunological memory, and does not cause brain toxicity or autoimmunity. A Phase I Clinical Trial, to test our hypothesis in human patients, was opened in December 2013 (see: NCT01811992, Combined Cytotoxic and Immune-Stimulatory Therapy for Glioma, at ClinicalTrials.gov). This trial is a first in human trial to test whether the re-engineering of the brain immune system can serve to treat malignant brain tumors. The long and winding road from the laboratory to the clinical trial follows below.
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Affiliation(s)
- Pedro R Lowenstein
- Department of Neurosurgery, The University of Michigan, The Medical School, Ann Arbor, Michigan, United States; Department of Cell and Developmental Biology, The University of Michigan, The Medical School, Ann Arbor, Michigan, United States.
| | - Maria G Castro
- Department of Neurosurgery, The University of Michigan, The Medical School, Ann Arbor, Michigan, United States; Department of Cell and Developmental Biology, The University of Michigan, The Medical School, Ann Arbor, Michigan, United States
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143
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Esquenazi Y, Friedman E, Liu Z, Zhu JJ, Hsu S, Tandon N. The Survival Advantage of "Supratotal" Resection of Glioblastoma Using Selective Cortical Mapping and the Subpial Technique. Neurosurgery 2018; 81:275-288. [PMID: 28368547 DOI: 10.1093/neuros/nyw174] [Citation(s) in RCA: 76] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2015] [Accepted: 08/12/2016] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND A substantial body of evidence suggests that cytoreductive surgery is a prerequisite to prolonging survival in patients with glioblastoma (GBM). OBJECTIVE To evaluate the safety and impact of "supratotal" resections beyond the zone of enhancement seen on magnetic resonance imaging scans, using a subpial technique. METHODS We retrospectively evaluated 86 consecutive patients with primary GBM, managed by the senior author, using a subpial resection technique with or without carmustine (BCNU) wafer implantation. Multivariate Cox proportional hazards regression was used to analyze clinical, radiological, and outcome variables. Overall impacts of extent of resection (EOR) and BCNU wafer placement were compared using Kaplan-Meier survival analysis. RESULTS Mean patient age was 56 years. The median OS for the group was 18.1 months. Median OS for patients undergoing gross total, near-total, and subtotal resection were 54, 16.5, and 13.2 months, respectively. Patients undergoing near-total resection ( P = .05) or gross total resection ( P < .01) experienced statistically significant longer survival time than patients undergoing subtotal resection as well as patients undergoing ≥95% EOR ( P < .01) when compared to <95% EOR. The addition of BCNU wafers had no survival advantage. CONCLUSIONS The subpial technique extends the resection beyond the contrast enhancement and is associated with an overall survival beyond that seen in similar series where resection of the enhancement portion is performed. The effect of supratotal resection on survival exceeded the effects of age, Karnofsky performance score, and tumor volume. A prospective study would help to quantify the impact of the subpial technique on quality of life and survival as compared to a traditional resection limited to the enhancing tumor.
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Affiliation(s)
- Yoshua Esquenazi
- Vivian L. Smith Department of Neurosurgery and Mischer Neuroscience Institute, Houston, Texas
| | - Elliott Friedman
- Department of Radiology, Medical School, University of Texas Health Science Center at Houston, Houston, Texas
| | - Zheyu Liu
- Department of Biostatistics, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Jay-Jiguang Zhu
- Vivian L. Smith Department of Neurosurgery and Mischer Neuroscience Institute, Houston, Texas
| | - Sigmund Hsu
- Vivian L. Smith Department of Neurosurgery and Mischer Neuroscience Institute, Houston, Texas
| | - Nitin Tandon
- Vivian L. Smith Department of Neurosurgery and Mischer Neuroscience Institute, Houston, Texas
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144
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Martirosyan NL, Georges J, Eschbacher JM, Belykh E, Carotenuto A, Spetzler RF, Nakaji P, Preul MC. Confocal scanning microscopy provides rapid, detailed intraoperative histological assessment of brain neoplasms: Experience with 106 cases. Clin Neurol Neurosurg 2018; 169:21-28. [PMID: 29604507 DOI: 10.1016/j.clineuro.2018.03.015] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2018] [Revised: 03/12/2018] [Accepted: 03/17/2018] [Indexed: 01/13/2023]
Abstract
OBJECTIVES Frozen section histological analysis is currently the mainstay for intraprocedural tissue diagnosis during the resection of intracranial neoplasms and for evaluating tumor margins. However, frozen sections are time-consuming and often do not reveal the histological features needed for final diagnosis when compared with permanent sections. Confocal scanning microscopy (CSM) with certain stains may be a valuable technology that can add rapid and detailed histological assessment advantage for the neurosurgical operating room. This study describes potential advantages of CSM imaging of fresh human brain tumor tissues labeled with acriflavine (AF), acridine orange (AO), cresyl violet (CV), methylene blue (MB), and indocyanine green (ICG) within the neurosurgical operating room facility. PATIENTS AND METHODS Acute slices from orthotopic human intracranial neoplasms were incubated with AF/AO and CV solutions for 10 s and 1 min respectively. Staining was also attempted with MB and ICG. Samples were imaged using a bench-top CSM system. Histopathologic features of corresponding CSM and permanent hematoxylin and eosin images were reviewed for each case. RESULTS Of 106 cases, 30 were meningiomas, 19 gliomas, 13 pituitary adenomas, 9 metastases, 6 schwannomas, 4 ependymomas, and 25 other pathologies. CSM using rapid fluorophores (AF, AO, CV) revealed striking microvascular, cellular and subcellular structures that correlated with conventional histology. By rapidly staining and optically sectioning freshly resected tissue, images were generated for intraoperative consultations in less than one minute. With this technique, an entire resected tissue sample was imaged and digitally stored for tele-pathology and archiving. CONCLUSION CSM of fresh human brain tumor tissue provides clinically meaningful and rapid histopathological assessment much faster than frozen section. With appropriate stains, including specific cellular structure or antibody staining, CSM could improve the timeliness of intraoperative decision-making, and the neurosurgical-pathology workflow during resection of human brain tumors, ultimately improving patient care.
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Affiliation(s)
- Nikolay L Martirosyan
- Division of Neurological Surgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ, 85013, USA; Division of Neurosurgery, University of Arizona, Tucson, AZ, USA
| | - Joseph Georges
- Division of Neurological Surgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ, 85013, USA
| | - Jennifer M Eschbacher
- Division of Neuropathology, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ, 85013, USA
| | - Evgenii Belykh
- Division of Neurological Surgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ, 85013, USA; Department of Neurosurgery, Irkutsk State Medical University, Irkutsk, Russia
| | | | - Robert F Spetzler
- Division of Neurological Surgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ, 85013, USA
| | - Peter Nakaji
- Division of Neurological Surgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ, 85013, USA
| | - Mark C Preul
- Division of Neurological Surgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ, 85013, USA.
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145
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Wang C, Wang Z, Zhao T, Li Y, Huang G, Sumer BD, Gao J. Optical molecular imaging for tumor detection and image-guided surgery. Biomaterials 2018; 157:62-75. [PMID: 29245052 PMCID: PMC6502237 DOI: 10.1016/j.biomaterials.2017.12.002] [Citation(s) in RCA: 148] [Impact Index Per Article: 24.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2017] [Revised: 11/30/2017] [Accepted: 12/02/2017] [Indexed: 12/15/2022]
Abstract
We have witnessed rapid development of fluorescence molecular imaging of solid tumors for cancer diagnosis and image-guided surgery in the past decade. Many biomarkers unique to cancer cells or tumor microenvironment, such as cell surface receptors, hypoxia, secreted proteases and extracellular acidosis have been characterized, and can be used to distinguish cancer from normal tissue. A variety of optical imaging probes have been developed to target these biomarkers to improve tumor contrast over the background tissue. Unlike conventional anatomical and molecular imaging technologies, fluorescent imaging method benefits from its safety, high-spatial resolution and real-time capability, and therefore, has become a highly adoptable imaging method for tumor detection and image-guided surgery in clinics. In this review, we summarize recent progress in 'always-ON' and stimuli-activatable fluorescent imaging probes, and discuss their potentials in tumor detection and image-guided surgery.
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Affiliation(s)
- Chensu Wang
- Department of Pharmacology, Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390, USA; Department of Cell Biology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390, USA
| | - Zhaohui Wang
- Department of Pharmacology, Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390, USA
| | - Tian Zhao
- Department of Pharmacology, Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390, USA
| | - Yang Li
- Department of Pharmacology, Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390, USA
| | - Gang Huang
- Department of Pharmacology, Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390, USA
| | - Baran D Sumer
- Department of Otolaryngology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390, USA.
| | - Jinming Gao
- Department of Pharmacology, Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390, USA; Department of Otolaryngology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390, USA.
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146
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Huang B, Yan S, Xiao L, Ji R, Yang L, Miao AJ, Wang P. Label-Free Imaging of Nanoparticle Uptake Competition in Single Cells by Hyperspectral Stimulated Raman Scattering. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2018; 14:1703246. [PMID: 29283225 DOI: 10.1002/smll.201703246] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Revised: 11/14/2017] [Indexed: 06/07/2023]
Abstract
Imaging and quantification of nanoparticles in single cells in their most natural condition are expected to facilitate the biotechnological applications of nanoparticles and allow for better assessment of their biosafety risks. However, current imaging modalities either require tedious sample preparation or only apply to nanoparticles with specific physicochemical characteristics. Here, the emerging hyperspectral stimulated Raman scattering (SRS) microscopy, as a label-free and nondestructive imaging method, is used for the first time to investigate the subcellular distribution of nanoparticles in the protozoan Tetrahymena thermophila. The two frequently studied nanoparticles, polyacrylate-coated α-Fe2 O3 and TiO2 , are found to have different subcellular distribution pattern as a result of their dissimilar uptake routes. Significant uptake competition between these two types of nanoparticles is further discovered, which should be paid attention to in future bioapplications of nanoparticles. Overall, this study illustrates the great promise of hyperspectral SRS as an analytical imaging tool in nanobiotechnology and nanotoxicology.
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Affiliation(s)
- Bin Huang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023, Jiangsu Province, China
| | - Shuai Yan
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
- MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Lin Xiao
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023, Jiangsu Province, China
| | - Rong Ji
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023, Jiangsu Province, China
| | - Liuyan Yang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023, Jiangsu Province, China
| | - Ai-Jun Miao
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023, Jiangsu Province, China
| | - Ping Wang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
- MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
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147
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White MD, Zhao ZW, Plachta N. In Vivo Imaging of Single Mammalian Cells in Development and Disease. Trends Mol Med 2018; 24:278-293. [PMID: 29439932 DOI: 10.1016/j.molmed.2018.01.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Revised: 01/05/2018] [Accepted: 01/14/2018] [Indexed: 12/14/2022]
Abstract
Live imaging has transformed biomedical sciences by enabling visualization and analysis of dynamic cellular processes as they occur in their native contexts. Here, we review key recent efforts applying in vivo optical imaging with single-cell resolution to mammalian systems ranging from embryos to adult tissues and organs. We highlight insights into active processes regulating cell fate and morphogenesis during embryonic development, how neuronal circuitry and non-neuronal cell types contribute to neurological functions, and how novel imaging-based approaches enable the dissection of neurological disorders and cancer with high spatio-temporal resolution. The convergence of technical advancements in accessing, visualizing, and manipulating individual cells provides an unprecedented lens to probe mammalian cellular dynamics in vivo in both physiological and pathological states.
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Affiliation(s)
- Melanie D White
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR), Singapore; These authors contributed equally to this work
| | - Ziqing W Zhao
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR), Singapore; These authors contributed equally to this work
| | - Nicolas Plachta
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR), Singapore.
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148
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Bernardo A. The Changing Face of Technologically Integrated Neurosurgery: Today's High-Tech Operating Room. World Neurosurg 2018; 106:1001-1014. [PMID: 28985655 DOI: 10.1016/j.wneu.2017.06.159] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Over the last decade, surgical technology in planning, mapping, optics, robotics, devices, and minimally invasive techniques has changed the face of modern neurosurgery. We explore the current advances in clinical technology across all neurosurgical subspecialties, examine how clinical practice is being shaped by this technology, and suggest what the operating room of tomorrow may look like.
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Affiliation(s)
- Antonio Bernardo
- Department of Neurological Surgery, Skull Base Laboratory, Weill Cornell Medical College, New York, New York, USA.
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149
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Lombardini A, Mytskaniuk V, Sivankutty S, Andresen ER, Chen X, Wenger J, Fabert M, Joly N, Louradour F, Kudlinski A, Rigneault H. High-resolution multimodal flexible coherent Raman endoscope. LIGHT, SCIENCE & APPLICATIONS 2018; 7:10. [PMID: 30839624 PMCID: PMC6107025 DOI: 10.1038/s41377-018-0003-3] [Citation(s) in RCA: 75] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Revised: 02/12/2018] [Accepted: 02/12/2018] [Indexed: 05/21/2023]
Abstract
Coherent Raman scattering microscopy is a fast, label-free, and chemically specific imaging technique that shows high potential for future in vivo optical histology. However, the imaging depth in tissues is limited to the sub-millimeter range because of absorption and scattering. Realization of coherent Raman imaging using a fiber endoscope system is a crucial step towards imaging deep inside living tissues and providing information that is inaccessible with current microscopy tools. Until now, the development of coherent Raman endoscopy has been hampered by several issues, mainly related to the fiber delivery of the excitation pulses and signal collection. Here, we present a flexible, compact, coherent Raman, and multimodal nonlinear endoscope (4.2 mm outer diameter, 71 mm rigid length) based on a resonantly scanned hollow-core Kagomé-lattice double-clad fiber. The fiber design enables distortion-less, background-free delivery of femtosecond excitation pulses and back-collection of nonlinear signals through the same fiber. Sub-micrometer spatial resolution over a large field of view is obtained by combination of a miniature objective lens with a silica microsphere lens inserted into the fiber core. We demonstrate high-resolution, high-contrast coherent anti-Stokes Raman scattering, and second harmonic generation endoscopic imaging of biological tissues over a field of view of 320 µm at a rate of 0.8 frames per second. These results pave the way for intraoperative label-free imaging applied to real-time histopathology diagnosis and surgery guidance.
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Affiliation(s)
- Alberto Lombardini
- Aix-Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille, France
| | - Vasyl Mytskaniuk
- Aix-Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille, France
| | - Siddharth Sivankutty
- Aix-Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille, France
| | - Esben Ravn Andresen
- Aix-Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille, France
- Laboratoire de Physique des Lasers Atomes et Molécules, UMR 8523, CNRS, Université Lille, 59000 Lille, France
| | - Xueqin Chen
- Aix-Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille, France
| | - Jérôme Wenger
- Aix-Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille, France
| | - Marc Fabert
- CNRS, XLIM, UMR 7252, Université de Limoges, 87060 Limoges, France
| | - Nicolas Joly
- Department of Physics, Max Planck Institute for the Science of Light, University of Erlangen Nuremberg, 91058 Erlangen, Germany
| | | | - Alexandre Kudlinski
- Laboratoire de Physique des Lasers Atomes et Molécules, UMR 8523, CNRS, Université Lille, 59000 Lille, France
| | - Hervé Rigneault
- Aix-Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille, France
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150
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Boppart SA, Brown JQ, Farah CS, Kho E, Marcu L, Saunders CM, Sterenborg HJCM. Label-free optical imaging technologies for rapid translation and use during intraoperative surgical and tumor margin assessment. JOURNAL OF BIOMEDICAL OPTICS 2017; 23:1-10. [PMID: 29288572 PMCID: PMC5747261 DOI: 10.1117/1.jbo.23.2.021104] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Accepted: 11/28/2017] [Indexed: 05/18/2023]
Abstract
The biannual International Conference on Biophotonics was recently held on April 30 to May 1, 2017, in Fremantle, Western Australia. This continuing conference series brought together key opinion leaders in biophotonics to present their latest results and, importantly, to participate in discussions on the future of the field and what opportunities exist when we collectively work together for using biophotonics for biological discovery and medical applications. One session in this conference, entitled "Tumor Margin Identification: Critiquing Technologies," challenged invited speakers and attendees to review and critique representative label-free optical imaging technologies and their application for intraoperative assessment and guidance in surgical oncology. We are pleased to share a summary in this outlook paper, with the intent to motivate more research inquiry and investigations, to challenge these and other optical imaging modalities to evaluate and improve performance, to spur translation and adoption, and ultimately, to improve the care and outcomes of patients.
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Affiliation(s)
- Stephen A. Boppart
- University of Illinois at Urbana-Champaign, Beckman Institute for Advanced Science and Technology, Urbana, Illinois, United States
- Address all correspondence to: Stephen A. Boppart, E-mail:
| | - J. Quincy Brown
- Tulane University, Department of Biomedical Engineering, New Orleans, Louisiana, United States
| | - Camile S. Farah
- University of Western Australia, UWA Dental School, Oral Health Centre of Western Australia, Discipline of Oral Oncology, Nedlands, Western Australia, Australia
| | - Esther Kho
- Netherlands Cancer Institute, Department of Surgery, Amsterdam, The Netherlands
| | - Laura Marcu
- University of California–Davis, Department of Biomedical Engineering, Comprehensive Cancer Center, Davis, California, United States
| | - Christobel M. Saunders
- The University of Western Australia, Department of Surgical Oncology, Crawley, Western Australia, Australia
| | - Henricus J. C. M. Sterenborg
- Netherlands Cancer Institute, Department of Surgery, Amsterdam, The Netherlands
- Academic Medical Center, Department of Biomedical Engineering and Physics, Amsterdam, The Netherlands
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