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Nikolaev VV, Kistenev YV, Kröger M, Zuhayri H, Darvin ME. Review of optical methods for noninvasive imaging of skin fibroblasts-From in vitro to ex vivo and in vivo visualization. JOURNAL OF BIOPHOTONICS 2024; 17:e202300223. [PMID: 38018868 DOI: 10.1002/jbio.202300223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Revised: 10/21/2023] [Accepted: 10/25/2023] [Indexed: 11/30/2023]
Abstract
Fibroblasts are among the most common cell types in the stroma responsible for creating and maintaining the structural organization of the extracellular matrix in the dermis, skin regeneration, and a range of immune responses. Until now, the processes of fibroblast adaptation and functioning in a varying environment have not been fully understood. Modern laser microscopes are capable of studying fibroblasts in vitro and ex vivo. One-photon- and two-photon-excited fluorescence microscopy, Raman spectroscopy/microspectroscopy are well-suited noninvasive optical methods for fibroblast imaging in vitro and ex vivo. In vivo staining-free fibroblast imaging is not still implemented. The exception is fibroblast imaging in tattooed skin. Although in vivo noninvasive staining-free imaging of fibroblasts in the skin has not yet been implemented, it is expected in the future. This review summarizes the state-of-the-art in fibroblast visualization using optical methods and discusses the advantages, limitations, and prospects for future noninvasive imaging.
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Affiliation(s)
- Viktor V Nikolaev
- Tomsk State University, Laboratory of Molecular Imaging and Machine Learning, Tomsk, Russia
| | - Yury V Kistenev
- Tomsk State University, Laboratory of Molecular Imaging and Machine Learning, Tomsk, Russia
| | - Marius Kröger
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Dermatology, Venerology and Allergology, Center of Experimental and Applied Cutaneous Physiology, Berlin, Germany
| | - Hala Zuhayri
- Tomsk State University, Laboratory of Molecular Imaging and Machine Learning, Tomsk, Russia
| | - Maxim E Darvin
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Dermatology, Venerology and Allergology, Center of Experimental and Applied Cutaneous Physiology, Berlin, Germany
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Gatin E, Nagy P, Iordache SM, Iordache AM, Luculescu CR, Grygorovskyy V. Preliminary Assessment of In Vivo Raman Spectroscopy Technique for Bone Quality Evaluation of Augmented Maxillary Sinus Floor. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:4789. [PMID: 36981696 PMCID: PMC10049299 DOI: 10.3390/ijerph20064789] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 02/21/2023] [Accepted: 02/28/2023] [Indexed: 06/18/2023]
Abstract
(1) Background: In oral surgery, bone regeneration is achieved through various types of bone grafts or bone substitutes and its success is usually analyzed by micro-computed tomography and histomorphometry. The aim of this study was to evaluate the usefulness of Raman spectroscopy as an alternative to other techniques for bone quality evaluation during a standard oral surgery procedure. (2) Methods: The preliminary evaluation of bone augmentation during maxillary sinus floor elevation oral surgery was performed by Raman spectroscopy for several (five) patients during and after the surgery and the results were compared with postoperative data from histomorphometry, EDX and SEM analysis. (3) Results: After analyzing all the results for the bone samples according to the four methods (Raman, EDX, SEM and Histology) that were used in our study, the obtained result of the investigation provided a good augmentation process for three of the patients and partly successful augmentation process for two of the patients. The primary evaluation using Raman spectroscopy (in vivo and ex vivo investigation) was confirmed by histological results, thus having a first step for validation of Raman as a new method of imaging for dentistry. (4) Conclusions: Our results show that Raman spectroscopy could provide fast and reliable insight on bone condition during augmentation of the maxillary sinus floor. We emphasize the advantages and drawbacks of the proposed techniques as its accuracy could increase by performing larger size clinical trials. Using the Raman mapping, the method can serve as an alternative to histology.
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Affiliation(s)
- Eduard Gatin
- Faculty of Medicine, University of Medicine and Pharmacy “Carol Davila”, Blv. Eroii Sanitari 8, Sector 5, 050474 Bucharest, Romania
- Faculty of Physics, DMSFAPA Department, University of Bucharest, 405 Atomistilor Str., 077125 Magurele, Romania
| | - Pal Nagy
- Faculty of Dentistry, Periodontology Department, Semmelweiss University, 1085 Budapest, Hungary
| | - Stefan Marian Iordache
- Optospintronics Department, National Institute for Research and Development for Optoelectronics—INOE 2000, 077125 Magurele, Romania
| | - Ana-Maria Iordache
- Optospintronics Department, National Institute for Research and Development for Optoelectronics—INOE 2000, 077125 Magurele, Romania
| | - Catalin Romeo Luculescu
- CETAL Department, National Institute for Laser, Plasma and Radiation Physics, Atomistilor Str. 409, 077125 Magurele, Romania
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3
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Li B, Nelson MS, Chacko JV, Cudworth N, Eliceiri KW. Hardware-software co-design of an open-source automatic multimodal whole slide histopathology imaging system. JOURNAL OF BIOMEDICAL OPTICS 2023; 28:026501. [PMID: 36761254 PMCID: PMC9905038 DOI: 10.1117/1.jbo.28.2.026501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 01/17/2023] [Indexed: 06/18/2023]
Abstract
Significance Advanced digital control of microscopes and programmable data acquisition workflows have become increasingly important for improving the throughput and reproducibility of optical imaging experiments. Combinations of imaging modalities have enabled a more comprehensive understanding of tissue biology and tumor microenvironments in histopathological studies. However, insufficient imaging throughput and complicated workflows still limit the scalability of multimodal histopathology imaging. Aim We present a hardware-software co-design of a whole slide scanning system for high-throughput multimodal tissue imaging, including brightfield (BF) and laser scanning microscopy. Approach The system can automatically detect regions of interest using deep neural networks in a low-magnification rapid BF scan of the tissue slide and then conduct high-resolution BF scanning and laser scanning imaging on targeted regions with deep learning-based run-time denoising and resolution enhancement. The acquisition workflow is built using Pycro-Manager, a Python package that bridges hardware control libraries of the Java-based open-source microscopy software Micro-Manager in a Python environment. Results The system can achieve optimized imaging settings for both modalities with minimized human intervention and speed up the laser scanning by an order of magnitude with run-time image processing. Conclusions The system integrates the acquisition pipeline and data analysis pipeline into a single workflow that improves the throughput and reproducibility of multimodal histopathological imaging.
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Affiliation(s)
- Bin Li
- University of Wisconsin–Madison, Center for Quantitative Cell Imaging, Madison, Wisconsin, United States
- University of Wisconsin–Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States
- Morgridge Institute for Research, Madison, Wisconsin, United States
| | - Michael S. Nelson
- University of Wisconsin–Madison, Center for Quantitative Cell Imaging, Madison, Wisconsin, United States
- University of Wisconsin–Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States
| | - Jenu V. Chacko
- University of Wisconsin–Madison, Center for Quantitative Cell Imaging, Madison, Wisconsin, United States
| | - Nathan Cudworth
- University of Wisconsin–Madison, Center for Quantitative Cell Imaging, Madison, Wisconsin, United States
- University of Wisconsin–Madison, Department of Medical Physics, Madison, Wisconsin, United States
| | - Kevin W. Eliceiri
- University of Wisconsin–Madison, Center for Quantitative Cell Imaging, Madison, Wisconsin, United States
- University of Wisconsin–Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States
- Morgridge Institute for Research, Madison, Wisconsin, United States
- University of Wisconsin–Madison, Department of Medical Physics, Madison, Wisconsin, United States
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Zhang Y, Lu M, Hu J, Li Y, Shum PP, Chen J, Wei H. Rapid coherent Raman hyperspectral imaging based on delay-spectral focusing dual-comb method and deep learning algorithm. OPTICS LETTERS 2023; 48:550-553. [PMID: 36723528 DOI: 10.1364/ol.480667] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 12/20/2022] [Indexed: 05/22/2023]
Abstract
Rapid coherent Raman hyperspectral imaging shows great promise for applications in sensing, medical diagnostics, and dynamic metabolism monitoring. However, the spectral acquisition speed of current multiplex coherent anti-Stokes Raman scattering (CARS) microscopy is generally limited by the spectrometer integration time, and as the detection speed increases, the signal-to-noise ratio (SNR) of single spectrum will decrease, leading to a terrible imaging quality. In this Letter, we report a dual-comb coherent Raman hyperspectral microscopy imaging system developed by integrating two approaches, a rapid delay-spectral focusing method and deep learning. The spectral refresh rate is exploited by focusing the relative delay scanning in the effective Raman excitation region, enabling a spectral acquisition speed of 36 kHz, ≈4 frames/s, for a pixel resolution of 95 × 95 pixels and a spectral bandwidth no less than 200 cm-1. To improve the spectral SNR and imaging quality, the deep learning models are designed for spectral preprocessing and automatic unsupervised feature extraction. In addition, by changing the relative delay focusing region of the comb pairs, the detected spectral wavenumber region can be flexibly tuned to the high SNR region of the spectrum.
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Abstract
![]()
Mid-infrared photothermal (MIP) microscopy is a valuable
tool for
sensitive and fast chemical imaging with high spatial resolution beyond
the mid-infrared diffraction limit. The highest sensitivity is usually
achieved with heterodyne MIP employing photodetector point-scans and
lock-in detection, while the fastest systems use camera-based widefield
MIP with pulsed probe light. One challenge is to simultaneously achieve
high sensitivity, spatial resolution, and speed in a large field of
view. Here, we present widefield mid-infrared photothermal heterodyne
(WIPH) imaging, where a digital frequency-domain lock-in (DFdLi) filter
is used for simultaneous multiharmonic demodulation of MIP signals
recorded by individual camera pixels at frame rates up to 200 kHz.
The DFdLi filter enables the use of continuous-wave probe light, which,
in turn, eliminates the need for synchronization schemes and allows
measuring MIP decay curves. The WIPH approach is characterized by
imaging potassium ferricyanide microparticles and applied to detect
lipid droplets (alkyne-palmitic acid) in 3T3-L1 fibroblast cells,
both in the cell-silent spectral region around 2100 cm–1 using an external-cavity quantum cascade laser. The system achieved
up to 4000 WIPH images per second at a signal-to-noise ratio of 5.52
and 1 μm spatial resolution in a 128 × 128 μm field
of view. The technique opens up for real-time chemical imaging of
fast processes in biology, medicine, and material science.
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Affiliation(s)
- Eduardo M Paiva
- Department of Applied Physics and Electronics, Umeå University, SE-90187Umeå, Sweden
| | - Florian M Schmidt
- Department of Applied Physics and Electronics, Umeå University, SE-90187Umeå, Sweden
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Einstein EH, Ablyazova F, Rosenberg A, Harshan M, Wahl S, Har-El G, Constantino PD, Ellis JA, Boockvar JA, Langer DJ, D'Amico RS. Stimulated Raman histology facilitates accurate diagnosis in neurosurgical patients: a one-to-one noninferiority study. J Neurooncol 2022; 159:369-375. [PMID: 35764906 DOI: 10.1007/s11060-022-04071-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 06/16/2022] [Indexed: 11/27/2022]
Abstract
OBJECTIVE Stimulated Raman histology (SRH) offers efficient and accurate intraoperative neuropathological tissue analysis without procedural alteration to the diagnostic specimen. However, there are limited data demonstrating one-to-one tissue comparisons between SRH and traditional frozen sectioning. This study explores the non-inferiority of SRH as compared to frozen section on the same piece of tissue in neurosurgical patients. METHODS Tissue was collected over a 1-month period from 18 patients who underwent resection of central nervous system lesions. SRH and frozen section analyses were compared for diagnostic capabilities as well as assessed for quality and condition of tissue via a survey completed by pathologists. RESULTS SRH was sufficient for diagnosis in 78% of specimens as compared to 94% of specimens by frozen section of the same specimen. A Fisher's exact test determined there was no significant difference in diagnostic capability between the two groups. Additionally, both quality of SRH and condition of tissue after SRH were deemed to be non-inferior to frozen section. CONCLUSIONS This study provides further evidence for the non-inferiority of SRH techniques. It is also the first study to demonstrate SRH accuracy using one-to-one tissue analysis in neuropathological specimens.
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Affiliation(s)
- Evan H Einstein
- Department of Neurosurgery, Lenox Hill Hospital/Donald, Barbara Zucker School of Medicine at Hofstra, New York, NY, USA.
| | - Faina Ablyazova
- Department of Neurosurgery, Lenox Hill Hospital/Donald, Barbara Zucker School of Medicine at Hofstra, New York, NY, USA
| | - Ashley Rosenberg
- Department of Neurosurgery, Lenox Hill Hospital/Donald, Barbara Zucker School of Medicine at Hofstra, New York, NY, USA
| | - Manju Harshan
- Department of Pathology, Lenox Hill Hospital/Donald, Barbara Zucker School of Medicine at Hofstra, New York, NY, USA
| | - Samuel Wahl
- Department of Pathology, Lenox Hill Hospital/Donald, Barbara Zucker School of Medicine at Hofstra, New York, NY, USA
| | - Gady Har-El
- Department of Otolaryngology-Head and Neck Surgery, Lenox Hill Hospital/Donald, Barbara Zucker School of Medicine at Hofstra, New York, NY, USA
| | - Peter D Constantino
- Department of Otolaryngology-Head and Neck Surgery, Lenox Hill Hospital/Donald, Barbara Zucker School of Medicine at Hofstra, New York, NY, USA
| | - Jason A Ellis
- Department of Neurosurgery, Lenox Hill Hospital/Donald, Barbara Zucker School of Medicine at Hofstra, New York, NY, USA
| | - John A Boockvar
- Department of Neurosurgery, Lenox Hill Hospital/Donald, Barbara Zucker School of Medicine at Hofstra, New York, NY, USA
| | - David J Langer
- Department of Neurosurgery, Lenox Hill Hospital/Donald, Barbara Zucker School of Medicine at Hofstra, New York, NY, USA
| | - Randy S D'Amico
- Department of Neurosurgery, Lenox Hill Hospital/Donald, Barbara Zucker School of Medicine at Hofstra, New York, NY, USA
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Prostate cancer histopathology using label-free multispectral deep-UV microscopy quantifies phenotypes of tumor aggressiveness and enables multiple diagnostic virtual stains. Sci Rep 2022; 12:9329. [PMID: 35665770 PMCID: PMC9167293 DOI: 10.1038/s41598-022-13332-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 05/23/2022] [Indexed: 12/20/2022] Open
Abstract
Identifying prostate cancer patients that are harboring aggressive forms of prostate cancer remains a significant clinical challenge. Here we develop an approach based on multispectral deep-ultraviolet (UV) microscopy that provides novel quantitative insight into the aggressiveness and grade of this disease, thus providing a new tool to help address this important challenge. We find that UV spectral signatures from endogenous molecules give rise to a phenotypical continuum that provides unique structural insight (i.e., molecular maps or “optical stains") of thin tissue sections with subcellular (nanoscale) resolution. We show that this phenotypical continuum can also be applied as a surrogate biomarker of prostate cancer malignancy, where patients with the most aggressive tumors show a ubiquitous glandular phenotypical shift. In addition to providing several novel “optical stains” with contrast for disease, we also adapt a two-part Cycle-consistent Generative Adversarial Network to translate the label-free deep-UV images into virtual hematoxylin and eosin (H&E) stained images, thus providing multiple stains (including the gold-standard H&E) from the same unlabeled specimen. Agreement between the virtual H&E images and the H&E-stained tissue sections is evaluated by a panel of pathologists who find that the two modalities are in excellent agreement. This work has significant implications towards improving our ability to objectively quantify prostate cancer grade and aggressiveness, thus improving the management and clinical outcomes of prostate cancer patients. This same approach can also be applied broadly in other tumor types to achieve low-cost, stain-free, quantitative histopathological analysis.
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8
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Optimization of deep learning based segmentation method. Soft comput 2022. [DOI: 10.1007/s00500-021-06711-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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9
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Lin P, Chen WT, Yousef KMA, Marchioni J, Zhu A, Capasso F, Cheng JX. Coherent Raman scattering imaging with a near-infrared achromatic metalens. APL PHOTONICS 2021; 6:096107. [PMID: 34553044 PMCID: PMC8442248 DOI: 10.1063/5.0059874] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Accepted: 08/24/2021] [Indexed: 06/13/2023]
Abstract
Miniature handheld imaging devices and endoscopes based on coherent Raman scattering are promising for label-free in vivo optical diagnosis. Toward the development of these small-scale systems, a challenge arises from the design and fabrication of achromatic and high-end miniature optical components for both pump and Stokes laser wavelengths. Here, we report a metasurface converting a low-cost plano-convex lens into a water-immersion, nearly diffraction-limited and achromatic lens. The metasurface comprising amorphous silicon nanopillars is designed in a way that all incident rays arrive at the focus with the same phase and group delay, leading to corrections of monochromatic and chromatic aberrations of the refractive lens, respectively. Compared to the case without the metasurface, the hybrid metasurface-refractive lens has higher Strehl ratios than the plano-convex lens and a tighter depth of focus. The hybrid metasurface-refractive lens is utilized in spectroscopic stimulated Raman scattering and coherent anti-Stokes Raman scattering imaging for the differentiation of two different polymer microbeads. Subsequently, the hybrid metalens is harnessed for volumetric coherent Raman scattering imaging of bead and tissue samples. Finally, we discuss possible approaches to integrate such hybrid metalens in a miniature scanning system for label-free coherent Raman scattering endoscopes.
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Affiliation(s)
- Peng Lin
- Department of Electrical and Computer Engineering, Boston University, Boston, Massachusetts 02215, USA
| | - Wei Ting Chen
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, USA
| | | | | | - Alexander Zhu
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, USA
| | - Federico Capasso
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, USA
| | - Ji-Xin Cheng
- Authors to whom correspondence should be addressed: and
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10
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Lima C, Muhamadali H, Goodacre R. The Role of Raman Spectroscopy Within Quantitative Metabolomics. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2021; 14:323-345. [PMID: 33826853 DOI: 10.1146/annurev-anchem-091420-092323] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Ninety-four years have passed since the discovery of the Raman effect, and there are currently more than 25 different types of Raman-based techniques. The past two decades have witnessed the blossoming of Raman spectroscopy as a powerful physicochemical technique with broad applications within the life sciences. In this review, we critique the use of Raman spectroscopy as a tool for quantitative metabolomics. We overview recent developments of Raman spectroscopy for identification and quantification of disease biomarkers in liquid biopsies, with a focus on the recent advances within surface-enhanced Raman scattering-based methods. Ultimately, we discuss the applications of imaging modalities based on Raman scattering as label-free methods to study the abundance and distribution of biomolecules in cells and tissues, including mammalian, algal, and bacterial cells.
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Affiliation(s)
- Cassio Lima
- Department of Biochemistry and Systems Biology, Institute of Systems, Molecular, and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, United Kingdom;
| | - Howbeer Muhamadali
- Department of Biochemistry and Systems Biology, Institute of Systems, Molecular, and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, United Kingdom;
| | - Royston Goodacre
- Department of Biochemistry and Systems Biology, Institute of Systems, Molecular, and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, United Kingdom;
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11
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Zhang C, Aldana-Mendoza JA. Coherent Raman scattering microscopy for chemical imaging of biological systems. JPHYS PHOTONICS 2021. [DOI: 10.1088/2515-7647/abfd09] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Abstract
Coherent Raman scattering (CRS) processes, including both the coherent anti-Stokes Raman scattering and stimulated Raman scattering, have been utilized in state-of-the-art microscopy platforms for chemical imaging of biological samples. The key advantage of CRS microscopy over fluorescence microscopy is label-free, which is an attractive characteristic for modern biological and medical sciences. Besides, CRS has other advantages such as higher selectivity to metabolites, no photobleaching, and narrow peak width. These features have brought fast-growing attention to CRS microscopy in biological research. In this review article, we will first briefly introduce the history of CRS microscopy, and then explain the theoretical background of the CRS processes in detail using the classical approach. Next, we will cover major instrumentation techniques of CRS microscopy. Finally, we will enumerate examples of recent applications of CRS imaging in biological and medical sciences.
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12
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Bai Y, Yin J, Cheng JX. Bond-selective imaging by optically sensing the mid-infrared photothermal effect. SCIENCE ADVANCES 2021; 7:eabg1559. [PMID: 33990332 PMCID: PMC8121423 DOI: 10.1126/sciadv.abg1559] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 03/25/2021] [Indexed: 05/03/2023]
Abstract
Mid-infrared (IR) spectroscopic imaging using inherent vibrational contrast has been broadly used as a powerful analytical tool for sample identification and characterization. However, the low spatial resolution and large water absorption associated with the long IR wavelengths hinder its applications to study subcellular features in living systems. Recently developed mid-infrared photothermal (MIP) microscopy overcomes these limitations by probing the IR absorption-induced photothermal effect using a visible light. MIP microscopy yields submicrometer spatial resolution with high spectral fidelity and reduced water background. In this review, we categorize different photothermal contrast mechanisms and discuss instrumentations for scanning and widefield MIP microscope configurations. We highlight a broad range of applications from life science to materials. We further provide future perspective and potential venues in MIP microscopy field.
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Affiliation(s)
- Yeran Bai
- Department of Electrical and Computer Engineering, Boston University, Boston, MA 02215, USA
- Photonics Center, Boston University, Boston, MA 02215, USA
| | - Jiaze Yin
- Department of Electrical and Computer Engineering, Boston University, Boston, MA 02215, USA
- Photonics Center, Boston University, Boston, MA 02215, USA
| | - Ji-Xin Cheng
- Department of Electrical and Computer Engineering, Boston University, Boston, MA 02215, USA.
- Photonics Center, Boston University, Boston, MA 02215, USA
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
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13
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Pope I, Masia F, Ewan K, Jimenez-Pascual A, Dale TC, Siebzehnrubl FA, Borri P, Langbein W. Identifying subpopulations in multicellular systems by quantitative chemical imaging using label-free hyperspectral CARS microscopy. Analyst 2021; 146:2277-2291. [PMID: 33617612 PMCID: PMC8359792 DOI: 10.1039/d0an02381g] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Accepted: 02/10/2021] [Indexed: 12/21/2022]
Abstract
Quantitative hyperspectral coherent Raman scattering microscopy merges imaging with spectroscopy and utilises quantitative data analysis algorithms to extract physically meaningful chemical components, spectrally and spatially-resolved, with sub-cellular resolution. This label-free non-invasive method has the potential to significantly advance our understanding of the complexity of living multicellular systems. Here, we have applied an in-house developed hyperspectral coherent anti-Stokes Raman scattering (CARS) microscope, combined with a quantitative data analysis pipeline, to imaging living mouse liver organoids as well as fixed mouse brain tissue sections xenografted with glioblastoma cells. We show that the method is capable of discriminating different cellular sub-populations, on the basis of their chemical content which is obtained from an unsupervised analysis, i.e. without prior knowledge. Specifically, in the organoids, we identify sub-populations of cells at different phases in the cell cycle, while in the brain tissue, we distinguish normal tissue from cancer cells, and, notably, tumours derived from transplanted cancer stem cells versus non-stem glioblastoma cells. The ability of the method to identify different sub-populations was validated by correlative fluorescence microscopy using fluorescent protein markers. These examples expand the application portfolio of quantitative chemical imaging by hyperspectral CARS microscopy to multicellular systems of significant biomedical relevance, pointing the way to new opportunities in non-invasive disease diagnostics.
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Affiliation(s)
- Iestyn Pope
- Cardiff University, School of Biosciences, Sir Martin Evans Building, Museum Avenue, Cardiff CF10 3AX, UK.
| | - Francesco Masia
- Cardiff University, School of Biosciences, Sir Martin Evans Building, Museum Avenue, Cardiff CF10 3AX, UK.
| | - Kenneth Ewan
- Cardiff University, School of Biosciences, Sir Martin Evans Building, Museum Avenue, Cardiff CF10 3AX, UK.
| | - Ana Jimenez-Pascual
- Cardiff University, School of Biosciences, European Cancer Stem Cell Research Institute, Hadyn Ellis Building, Maindy Rd, Cardiff CF24 4HQ, UK
| | - Trevor C Dale
- Cardiff University, School of Biosciences, Sir Martin Evans Building, Museum Avenue, Cardiff CF10 3AX, UK.
| | - Florian A Siebzehnrubl
- Cardiff University, School of Biosciences, European Cancer Stem Cell Research Institute, Hadyn Ellis Building, Maindy Rd, Cardiff CF24 4HQ, UK
| | - Paola Borri
- Cardiff University, School of Biosciences, Sir Martin Evans Building, Museum Avenue, Cardiff CF10 3AX, UK.
| | - Wolfgang Langbein
- Cardiff University, School of Physics & Astronomy, The Parade, Cardiff CF24 3AA, UK.
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Shi L, Fung AA, Zhou A. Advances in stimulated Raman scattering imaging for tissues and animals. Quant Imaging Med Surg 2021; 11:1078-1101. [PMID: 33654679 PMCID: PMC7829158 DOI: 10.21037/qims-20-712] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Accepted: 08/25/2020] [Indexed: 12/14/2022]
Abstract
Stimulated Raman scattering (SRS) microscopy has emerged in the last decade as a powerful optical imaging technology with high chemical selectivity, speed, and subcellular resolution. Since the invention of SRS microscopy, it has been extensively employed in life science to study composition, structure, metabolism, development, and disease in biological systems. Applications of SRS in research and the clinic have generated new insights in many fields including neurobiology, tumor biology, developmental biology, metabolomics, pharmacokinetics, and more. Herein we review the advances and applications of SRS microscopy imaging in tissues and animals, as well as envision future applications and development of SRS imaging in life science and medicine.
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Affiliation(s)
- Lingyan Shi
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Anthony A Fung
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Andy Zhou
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
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Kaneta D, Goto M, Hagihara M, Leproux P, Couderc V, Egawa M, Kano H. Visualizing intra-medulla lipids in human hair using ultra-multiplex CARS, SHG, and THG microscopy. Analyst 2021; 146:1163-1168. [PMID: 33398319 DOI: 10.1039/d0an01880e] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
We performed label-free imaging of human-hair medulla using multi-modal nonlinear optical microscopy. Intra-medulla lipids (IMLs) were clearly visualized by ultra-multiplex coherent anti-Stokes Raman scattering (CARS) spectroscopic imaging. Two groups of IMLs were found: second harmonic generation (SHG) active and inactive. By combining SHG analysis with CARS, the two groups were identified as free fatty acids and wax esters, respectively.
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Affiliation(s)
- Daiki Kaneta
- Department of Applied Physics, Graduate School of Pure and Applied Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan
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Lee M, Herrington CS, Ravindra M, Sepp K, Davies A, Hulme AN, Brunton VG. Recent advances in the use of stimulated Raman scattering in histopathology. Analyst 2021; 146:789-802. [PMID: 33393954 DOI: 10.1039/d0an01972k] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Stimulated Raman histopathology (SRH) utilises the intrinsic vibrational properties of lipids, proteins and nucleic acids to generate contrast providing rapid image acquisition that allows visualisation of histopathological features. It is currently being trialled in the intraoperative setting, where the ability to image unprocessed samples rapidly and with high resolution offers several potential advantages over the use of conventional haematoxylin and eosin stained images. Here we review recent advances in the field including new updates in instrumentation and computer aided diagnosis. We also discuss how other non-linear modalities can be used to provide additional diagnostic contrast which together pave the way for enhanced histopathology and open up possibilities for in vivo pathology.
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Affiliation(s)
- Martin Lee
- Edinburgh Cancer Research UK Centre, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Crewe Road South, Edinburgh, EH4 2XR, UK.
| | - C Simon Herrington
- Edinburgh Cancer Research UK Centre, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Crewe Road South, Edinburgh, EH4 2XR, UK.
| | - Manasa Ravindra
- EaStCHEM School of Chemistry, The University of Edinburgh, David Brewster Road, Edinburgh, EH9 3FJ, UK
| | - Kristel Sepp
- Edinburgh Cancer Research UK Centre, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Crewe Road South, Edinburgh, EH4 2XR, UK. and EaStCHEM School of Chemistry, The University of Edinburgh, David Brewster Road, Edinburgh, EH9 3FJ, UK
| | - Amy Davies
- Edinburgh Cancer Research UK Centre, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Crewe Road South, Edinburgh, EH4 2XR, UK.
| | - Alison N Hulme
- EaStCHEM School of Chemistry, The University of Edinburgh, David Brewster Road, Edinburgh, EH9 3FJ, UK
| | - Valerie G Brunton
- Edinburgh Cancer Research UK Centre, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Crewe Road South, Edinburgh, EH4 2XR, UK.
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17
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Molecular Imaging Using Raman Scattering. Mol Imaging 2021. [DOI: 10.1016/b978-0-12-816386-3.00019-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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18
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Fung AA, Shi L. Mammalian cell and tissue imaging using Raman and coherent Raman microscopy. WILEY INTERDISCIPLINARY REVIEWS. SYSTEMS BIOLOGY AND MEDICINE 2020; 12:e1501. [PMID: 32686297 PMCID: PMC7554227 DOI: 10.1002/wsbm.1501] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 05/29/2020] [Accepted: 06/08/2020] [Indexed: 12/16/2022]
Abstract
Direct imaging of metabolism in cells or multicellular organisms is important for understanding many biological processes. Raman scattering (RS) microscopy, particularly, coherent Raman scattering (CRS) such as coherent anti-Stokes Raman scattering (CARS) and stimulated Raman scattering (SRS), has emerged as a powerful platform for cellular imaging due to its high chemical selectivity, sensitivity, and imaging speed. RS microscopy has been extensively used for the identification of subcellular structures, metabolic observation, and phenotypic characterization. Conjugating RS modalities with other techniques such as fluorescence or infrared (IR) spectroscopy, flow cytometry, and RNA-sequencing can further extend the applications of RS imaging in microbiology, system biology, neurology, tumor biology and more. Here we overview RS modalities and techniques for mammalian cell and tissue imaging, with a focus on the advances and applications of CARS and SRS microscopy, for a better understanding of the metabolism and dynamics of lipids, protein, glucose, and nucleic acids in mammalian cells and tissues. This article is categorized under: Laboratory Methods and Technologies > Imaging Biological Mechanisms > Metabolism Analytical and Computational Methods > Analytical Methods.
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Affiliation(s)
- Anthony A Fung
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
| | - Lingyan Shi
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
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Wang X, Hu C, Chu K, Smith ZJ. Low resolution Raman: the impact of spectral resolution on limit of detection and imaging speed in hyperspectral imaging. Analyst 2020; 145:6607-6616. [PMID: 32789319 DOI: 10.1039/d0an01390k] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The majority of problems in analytical Raman spectroscopy are mathematically over-determined, where many more spectral variables are measured than analytic outputs (such as chemical concentrations) are calculated. Thus, to improve spectral throughput and simplify system design, some researchers have explored the use of low resolution Raman systems for cell or tissue classification, achieving accuracy independent of spectral resolution. However, the tradeoffs inherent in this approach have not been systematically studied. Here, we theoretically and experimentally explore the relationship between spectral resolution and analytical error. We show that decreased spectral resolution leads to spectral signal-to-noise ratio and therefore more reliable results and lower limits of detection for equivalent integration times in blind unmixing of hyperspectral images. Our theoretical analysis demonstrates that the primary benefit of low resolution Raman spectroscopy is in overcoming detector noise (such as thermal or electronic noise). Therefore, the benefits are most pronounced when utilizing lower-grade, uncooled detectors. Therefore, using a low-cost CMOS camera we experimentally demonstrate the ability of low resolution Raman spectroscopy to achieve substantially improved imaging performance compared to fully-resolved Raman spectral imaging, paving the way for cost-effective, pervasive Raman spectroscopy.
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Affiliation(s)
- Xianli Wang
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui, China.
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20
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Edun DN, Nelmark CE, Serrano AL. Resolution Enhancement in Wide-Field IR Imaging and Time-Domain Spectroscopy Using Dielectric Microspheres. J Phys Chem A 2020; 124:5534-5541. [PMID: 32543850 DOI: 10.1021/acs.jpca.0c02418] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Wide-field imaging through dielectric microspheres has emerged in recent years as a simple and effective approach for generating super-resolution images at visible wavelengths. We present, to our knowledge, the first demonstration that dielectric microspheres can be used in a wide-field infrared (IR) microscope to enhance the far field resolution. We have observed a substantial improvement in resolution and magnification when images are collected through polystyrene microspheres. In addition, we demonstrate that spectroscopic imaging with a pulse-shaper based femtosecond mid-IR laser system is possible through the dielectric microspheres, which is a promising first step toward applying this technique to ultrafast IR imaging methods such as pump-probe and 2DIR microscopy.
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Affiliation(s)
- Dean N Edun
- Department of Chemistry and Biochemistry, University of Notre Dame, 251 Nieuwland Science Hall, Notre Dame, Indiana 46544, United States
| | - Claire E Nelmark
- Department of Chemistry and Biochemistry, University of Notre Dame, 251 Nieuwland Science Hall, Notre Dame, Indiana 46544, United States
| | - Arnaldo L Serrano
- Department of Chemistry and Biochemistry, University of Notre Dame, 251 Nieuwland Science Hall, Notre Dame, Indiana 46544, United States
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21
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Audier X, Forget N, Rigneault H. High-speed chemical imaging of dynamic and histological samples with stimulated Raman micro-spectroscopy. OPTICS EXPRESS 2020; 28:15505-15514. [PMID: 32403577 DOI: 10.1364/oe.390850] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
We report a shot noise limited high-speed stimulated Raman microscopy platform allowing to acquire molecular vibrational spectra over 200 cm-1 in 12 µs at a scan rate of 40kHz. Using spectral focusing together with optimized acousto-optics programmable dispersive filters, the designed low noise imaging platform performs chemical imaging of dynamical processes such as Mannitol crystal hydration and reaches a signal to noise ratio sufficient to perform label free histological imaging on frozen human colon tissue slides.
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22
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Heuke S, Sivankutty S, Scotte C, Stockton P, Bartels RA, Sentenac A, Rigneault H. Spatial frequency modulated imaging in coherent anti-Stokes Raman microscopy. OPTICA 2020; 7:417-424. [PMID: 34926725 PMCID: PMC8682967 DOI: 10.1364/optica.386526] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Accepted: 03/02/2020] [Indexed: 06/14/2023]
Abstract
For sparse samples or in the presence of ambient light, the signal-to-noise ratio (SNR) performance of single-point-scanning coherent anti-Stokes Raman scattering (CARS) images is not optimized. As an improvement, we propose replacing the conventional CARS focus-point illumination with a periodically structured focus line while continuing to collect the transmitted CARS intensity on a single detector. The object information along the illuminated line is obtained by numerically processing the CARS signal recorded for various periods of the structured focus line. We demonstrate experimentally the feasibility of this spatial frequency modulated imaging (SPIFI) in CARS (SPIFI-CARS) and SHG (SPIFI-SHG) and identify situations where its SNR is better than that of the single-point-scanning approach.
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Affiliation(s)
- Sandro Heuke
- Aix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille, France
| | - Siddharth Sivankutty
- Aix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille, France
| | - Camille Scotte
- Aix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille, France
| | - Patrick Stockton
- School of Biomedical Engineering, Colorado State University, Fort Collins, Colorado 80523, USA
| | - Randy A. Bartels
- School of Biomedical Engineering, Colorado State University, Fort Collins, Colorado 80523, USA
| | - Anne Sentenac
- Aix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille, France
| | - Hervé Rigneault
- Aix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille, France
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23
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Uckermann O, Galli R, Mark G, Meinhardt M, Koch E, Schackert G, Steiner G, Kirsch M. Label-free multiphoton imaging allows brain tumor recognition based on texture analysis-a study of 382 tumor patients. Neurooncol Adv 2020; 2:vdaa035. [PMID: 32642692 PMCID: PMC7212881 DOI: 10.1093/noajnl/vdaa035] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
Background Label-free multiphoton microscopy has been suggested for intraoperative recognition and delineation of brain tumors. For any future clinical application, appropriate approaches for image acquisition and analysis have to be developed. Moreover, an evaluation of the reliability of the approach, taking into account inter- and intrapatient variability, is needed. Methods Coherent anti-Stokes Raman scattering (CARS), two-photon excited fluorescence (TPEF), and second-harmonic generation were acquired on cryosections of brain tumors of 382 patients and 28 human nontumor brain samples. Texture parameters of those images were calculated and used as input for linear discriminant analysis. Results The combined analysis of texture parameters of the CARS and TPEF signal proved to be most suited for the discrimination of nontumor brain versus brain tumors (low- and high-grade astrocytoma, oligodendroglioma, glioblastoma, recurrent glioblastoma, brain metastases of lung, colon, renal, and breast cancer and of malignant melanoma) leading to a correct rate of 96% (sensitivity: 96%, specificity: 100%). To approximate the clinical setting, the results were validated on 42 fresh, unfixed tumor biopsies. 82% of the tumors and, most important, all of the nontumor samples were correctly recognized. An image resolution of 1 µm was sufficient to distinguish brain tumors and nontumor brain. Moreover, the vast majority of single fields of view of each patient’s sample were correctly classified with high probabilities, which is important for clinical translation. Conclusion Label-free multiphoton imaging might allow fast and accurate intraoperative delineation of primary and secondary brain tumors in combination with endoscopic systems.
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Affiliation(s)
- Ortrud Uckermann
- Neurosurgery, University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Roberta Galli
- Clinical Sensoring and Monitoring, Department of Anesthesiology and Intensive Care Medicine, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Georg Mark
- Neurosurgery, University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Matthias Meinhardt
- Neuropathology, Institute of Pathology, University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Edmund Koch
- Clinical Sensoring and Monitoring, Department of Anesthesiology and Intensive Care Medicine, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Gabriele Schackert
- Neurosurgery, University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Gerald Steiner
- Clinical Sensoring and Monitoring, Department of Anesthesiology and Intensive Care Medicine, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Matthias Kirsch
- Neurosurgery, University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany
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24
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Abstract
The premise of this book is the importance of the tumor microenvironment (TME). Until recently, most research on and clinical attention to cancer biology, diagnosis, and prognosis were focused on the malignant (or premalignant) cellular compartment that could be readily appreciated using standard morphology-based imaging.
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25
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Intraoperative assessment of skull base tumors using stimulated Raman scattering microscopy. Sci Rep 2019; 9:20392. [PMID: 31892723 PMCID: PMC6938502 DOI: 10.1038/s41598-019-56932-8] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Accepted: 12/04/2019] [Indexed: 12/22/2022] Open
Abstract
Intraoperative consultations, used to guide tumor resection, can present histopathological findings that are challenging to interpret due to artefacts from tissue cryosectioning and conventional staining. Stimulated Raman histology (SRH), a label-free imaging technique for unprocessed biospecimens, has demonstrated promise in a limited subset of tumors. Here, we target unexplored skull base tumors using a fast simultaneous two-channel stimulated Raman scattering (SRS) imaging technique and a new pseudo-hematoxylin and eosin (H&E) recoloring methodology. To quantitatively evaluate the efficacy of our approach, we use modularized assessment of diagnostic accuracy beyond cancer/non-cancer determination and neuropathologist confidence for SRH images contrasted to H&E-stained frozen and formalin-fixed paraffin-embedded (FFPE) tissue sections. Our results reveal that SRH is effective for establishing a diagnosis using fresh tissue in most cases with 87% accuracy relative to H&E-stained FFPE sections. Further analysis of discrepant case interpretation suggests that pseudo-H&E recoloring underutilizes the rich chemical information offered by SRS imaging, and an improved diagnosis can be achieved if full SRS information is used. In summary, our findings show that pseudo-H&E recolored SRS images in combination with lipid and protein chemical information can maximize the use of SRS during intraoperative pathologic consultation with implications for tissue preservation and augmented diagnostic utility.
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26
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Sarri B, Poizat F, Heuke S, Wojak J, Franchi F, Caillol F, Giovannini M, Rigneault H. Stimulated Raman histology: one to one comparison with standard hematoxylin and eosin staining. BIOMEDICAL OPTICS EXPRESS 2019; 10:5378-5384. [PMID: 31646052 PMCID: PMC6788596 DOI: 10.1364/boe.10.005378] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Revised: 09/20/2019] [Accepted: 09/24/2019] [Indexed: 05/20/2023]
Abstract
We present for the first time one-to-one correspondence between standard hematoxylin/eosin (H&E) stained tissue sections and stimulated Raman histology (SRH) - a label-free technique in which stimulated Raman scattering (SRS) and second harmonic generation (SHG) are combined to generate virtual H&E images. Experiments were performed on both human thin cryogenic slides from the gastrointestinal tract (GI) and thick freshly excised biopsies from endoscopic surgery. Results on cryogenic slides evidenced an excellent agreement between SRH and H&E images while the ones on biopsies established the relevance of SRH for rapid intraoperative histology to assist in surgical decision making.
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Affiliation(s)
- Barbara Sarri
- Aix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille, 13013, France
| | - Flora Poizat
- Institut Paoli-Calmettes, Endoscopy and Gastroenterology Departement, Marseille, 13009, France
| | - Sandro Heuke
- Aix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille, 13013, France
| | - Julien Wojak
- Aix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille, 13013, France
| | - Florence Franchi
- Institut Paoli-Calmettes, Endoscopy and Gastroenterology Departement, Marseille, 13009, France
| | - Fabrice Caillol
- Institut Paoli-Calmettes, Endoscopy and Gastroenterology Departement, Marseille, 13009, France
| | - Marc Giovannini
- Institut Paoli-Calmettes, Endoscopy and Gastroenterology Departement, Marseille, 13009, France
| | - Herve Rigneault
- Aix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille, 13013, France
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27
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Laptenok SP, Rajamanickam VP, Genchi L, Monfort T, Lee Y, Patel II, Bertoncini A, Liberale C. Fingerprint-to-CH stretch continuously tunable high spectral resolution stimulated Raman scattering microscope. JOURNAL OF BIOPHOTONICS 2019; 12:e201900028. [PMID: 31081280 DOI: 10.1002/jbio.201900028] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2019] [Revised: 04/01/2019] [Accepted: 05/10/2019] [Indexed: 05/08/2023]
Abstract
Stimulated Raman scattering (SRS) microscopy is a label-free method generating images based on chemical contrast within samples, and has already shown its great potential for high-sensitivity and fast imaging of biological specimens. The capability of SRS to collect molecular vibrational signatures in bio-samples, coupled with the availability of powerful statistical analysis methods, allows quantitative chemical imaging of live cells with sub-cellular resolution. This application has substantially driven the development of new SRS microscopy platforms. Indeed, in recent years, there has been a constant effort on devising configurations able to rapidly collect Raman spectra from samples over a wide vibrational spectral range, as needed for quantitative analysis by using chemometric methods. In this paper, an SRS microscope which exploits spectral shaping by a narrowband and rapidly tunable acousto-optical tunable filter (AOTF) is presented. This microscope enables spectral scanning from the Raman fingerprint region to the Carbon-Hydrogen (CH)-stretch region without any modification of the optical setup. Moreover, it features also a high enough spectral resolution to allow resolving Raman peaks in the crowded fingerprint region. Finally, application of the developed SRS microscope to broadband hyperspectral imaging of biological samples over a large spectral range from 800 to 3600 cm-1 , is demonstrated.
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Affiliation(s)
- Sergey P Laptenok
- Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Vijayakumar P Rajamanickam
- Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Luca Genchi
- Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Tual Monfort
- Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Yeonwoo Lee
- Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Imran I Patel
- Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Andrea Bertoncini
- Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Carlo Liberale
- Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
- Computer, Electrical and Mathematical Sciences and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
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28
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Heuke S, Unger K, Khadir S, Belkebir K, Chaumet PC, Rigneault H, Sentenac A. Coherent anti-Stokes Raman Fourier ptychography. OPTICS EXPRESS 2019; 27:23497-23514. [PMID: 31510626 PMCID: PMC6825601 DOI: 10.1364/oe.27.023497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Revised: 06/25/2019] [Accepted: 06/25/2019] [Indexed: 05/16/2023]
Abstract
We present a theoretical and numerical study of coherent anti-Stokes Raman scattering Fourier ptychography microscopy (CARS-FPM), a scheme that has not been considered so far in the previously reported CARS wide-field imaging schemes. In this approach, the distribution of the Raman scatterer density of the sample is reconstructed numerically from CARS images obtained under various angles of incidences of the pump or Stokes beam. Our inversion procedure is based on an accurate vectorial model linking the CARS image to the sample and yields both the real and imaginary parts of the susceptibility, the latter giving access to the Raman information, with an improved resolution.
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Affiliation(s)
- Sandro Heuke
- Aix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille,
France
| | - Kevin Unger
- Aix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille,
France
| | - Samira Khadir
- Aix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille,
France
| | - Kamal Belkebir
- Aix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille,
France
| | - Patrick C. Chaumet
- Aix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille,
France
| | - Hervé Rigneault
- Aix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille,
France
| | - Anne Sentenac
- Aix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille,
France
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29
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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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30
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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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Castiglione V, Sacré PY, Cavalier E, Hubert P, Gadisseur R, Ziemons E. Raman chemical imaging, a new tool in kidney stone structure analysis: Case-study and comparison to Fourier Transform Infrared spectroscopy. PLoS One 2018; 13:e0201460. [PMID: 30075002 PMCID: PMC6075768 DOI: 10.1371/journal.pone.0201460] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Accepted: 07/15/2018] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND AND OBJECTIVES The kidney stone's structure might provide clinical information in addition to the stone composition. The Raman chemical imaging is a technology used for the production of two-dimension maps of the constituents' distribution in samples. We aimed at determining the use of Raman chemical imaging in urinary stone analysis. MATERIAL AND METHODS Fourteen calculi were analyzed by Raman chemical imaging using a confocal Raman microspectrophotometer. They were selected according to their heterogeneous composition and morphology. Raman chemical imaging was performed on the whole section of stones. Once acquired, the data were baseline corrected and analyzed by MCR-ALS. Results were then compared to the spectra obtained by Fourier Transform Infrared spectroscopy. RESULTS Raman chemical imaging succeeded in identifying almost all the chemical components of each sample, including monohydrate and dihydrate calcium oxalate, anhydrous and dihydrate uric acid, apatite, struvite, brushite, and rare chemicals like whitlockite, ammonium urate and drugs. However, proteins couldn't be detected because of the huge autofluorescence background and the small concentration of these poor Raman scatterers. Carbapatite and calcium oxalate were correctly detected even when they represented less than 5 percent of the whole stones. Moreover, Raman chemical imaging provided the distribution of components within the stones: nuclei were accurately identified, as well as thin layers of other components. Conversion of dihydrate to monohydrate calcium oxalate was correctly observed in the centre of one sample. The calcium oxalate monohydrate had different Raman spectra according to its localization. CONCLUSION Raman chemical imaging showed a good accuracy in comparison with infrared spectroscopy in identifying components of kidney stones. This analysis was also useful in determining the organization of components within stones, which help locating constituents in low quantity, such as nuclei. However, this analysis is time-consuming, making it more suitable for research studies rather than routine analysis.
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Affiliation(s)
- Vincent Castiglione
- Department of Clinical Chemistry, CHU of Liège, University of Liège, Liège, Belgium
| | - Pierre-Yves Sacré
- University of Liege (ULiege), CIRM, VibraSante Hub, Laboratory of Pharmaceutical Analytical Chemistry, Liège, Belgium
| | - Etienne Cavalier
- Department of Clinical Chemistry, CHU of Liège, University of Liège, Liège, Belgium
| | - Philippe Hubert
- University of Liege (ULiege), CIRM, VibraSante Hub, Laboratory of Pharmaceutical Analytical Chemistry, Liège, Belgium
| | - Romy Gadisseur
- Department of Clinical Chemistry, CHU of Liège, University of Liège, Liège, Belgium
| | - Eric Ziemons
- University of Liege (ULiege), CIRM, VibraSante Hub, Laboratory of Pharmaceutical Analytical Chemistry, Liège, Belgium
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Kumamoto Y, Harada Y, Takamatsu T, Tanaka H. Label-free Molecular Imaging and Analysis by Raman Spectroscopy. Acta Histochem Cytochem 2018; 51:101-110. [PMID: 30083018 PMCID: PMC6066646 DOI: 10.1267/ahc.18019] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Accepted: 05/25/2018] [Indexed: 01/06/2023] Open
Abstract
Raman scattering of a cell conveys the intrinsic information inherent to chemical structures of biomolecules. The spectroscopy of Raman scattering, or Raman spectroscopy, allows label-free and quantitative molecular sensing of a biological sample in situ without disruption. For the last five decades Raman spectroscopy has been widely utilized in biological research fields. However, it is just within the latest decade that molecular imaging and discrimination of living cells and tissues have become practically available. Here we overview recent progress in Raman spectroscopy and its application to life sciences. We discuss imaging of functional molecules in living cells and tissues; e.g., cancer cells and ischemic or infarcted hearts, together with a number of studies in the biomedical fields. We further explore comprehensive understandings of a complex spectrum by multivariate analysis for, e.g., accurate peripheral nerve detection, and characterization of the histological differences in the healing process of myocardial infarct. Although limitations still remain, e.g., weakness of the scattering intensity and practical difficulty in comprehensive molecular analysis, continuous progress in related technologies will allow wider use of Raman spectroscopy for biomedical applications.
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Affiliation(s)
- Yasuaki Kumamoto
- Department of Pathology and Cell Regulation, Graduate School of Medical Sciences, Kyoto Prefectural University of Medicine
| | - Yoshinori Harada
- Department of Pathology and Cell Regulation, Graduate School of Medical Sciences, Kyoto Prefectural University of Medicine
| | - Tetsuro Takamatsu
- Department of Medical Photonics, Kyoto Prefectural University of Medicine
| | - Hideo Tanaka
- Department of Pathology and Cell Regulation, Graduate School of Medical Sciences, Kyoto Prefectural University of Medicine
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