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Meng J, Yu J, Wu Z, Ma F, Zhang Y, Liu C. WSA-MP-Net: Weak-signal-attention and multi-scale perception network for microvascular extraction in optical-resolution photoacoustic microcopy. PHOTOACOUSTICS 2024; 37:100600. [PMID: 38516294 PMCID: PMC10955652 DOI: 10.1016/j.pacs.2024.100600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 03/01/2024] [Accepted: 03/05/2024] [Indexed: 03/23/2024]
Abstract
The unique advantage of optical-resolution photoacoustic microscopy (OR-PAM) is its ability to achieve high-resolution microvascular imaging without exogenous agents. This ability has excellent potential in the study of tissue microcirculation. However, tracing and monitoring microvascular morphology and hemodynamics in tissues is challenging because the segmentation of microvascular in OR-PAM images is complex due to the high density, structure complexity, and low contrast of vascular structures. Various microvasculature extraction techniques have been developed over the years but have many limitations: they cannot consider both thick and thin blood vessel segmentation simultaneously, they cannot address incompleteness and discontinuity in microvasculature, there is a lack of open-access datasets for DL-based algorithms. We have developed a novel segmentation approach to extract vascularity in OR-PAM images using a deep learning network incorporating a weak signal attention mechanism and multi-scale perception (WSA-MP-Net) model. The proposed WSA network focuses on weak and tiny vessels, while the MP module extracts features from different vessel sizes. In addition, Hessian-matrix enhancement is incorporated into the pre-and post-processing of the input and output data of the network to enhance vessel continuity. We constructed normal vessel (NV-ORPAM, 660 data pairs) and tumor vessel (TV-ORPAM, 1168 data pairs) datasets to verify the performance of the proposed method. We developed a semi-automatic annotation algorithm to obtain the ground truth for our network optimization. We applied our optimized model successfully to monitor glioma angiogenesis in mouse brains, thus demonstrating the feasibility and excellent generalization ability of our model. Compared to previous works, our proposed WSA-MP-Net extracts a significant number of microvascular while maintaining vessel continuity and signal fidelity. In quantitative analysis, the indicator values of our method improved by about 1.3% to 25.9%. We believe our proposed approach provides a promising way to extract a complete and continuous microvascular network of OR-PAM and enables its use in many microvascular-related biological studies and medical diagnoses.
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Affiliation(s)
- Jing Meng
- School of Computer, Qufu Normal University, Rizhao 276826, China
| | - Jialing Yu
- School of Computer, Qufu Normal University, Rizhao 276826, China
| | - Zhifeng Wu
- Research Center for Biomedical Optics and Molecular Imaging, Key Laboratory of Biomedical Imaging Science and System, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Fei Ma
- School of Computer, Qufu Normal University, Rizhao 276826, China
| | - Yuanke Zhang
- School of Computer, Qufu Normal University, Rizhao 276826, China
| | - Chengbo Liu
- Research Center for Biomedical Optics and Molecular Imaging, Key Laboratory of Biomedical Imaging Science and System, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
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2
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Li R, Ma M, Wang C, Hong J, Zhang Z, Lu J, Li P. Dual-exposure temporal laser speckle imaging for simultaneously accessing microvascular blood perfusion and angiography. OPTICS EXPRESS 2024; 32:6887-6902. [PMID: 38439384 DOI: 10.1364/oe.510874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 01/31/2024] [Indexed: 03/06/2024]
Abstract
Laser speckle contrast imaging (LSCI) has gained significant attention in the biomedical field for its ability to map the spatio-temporal dynamics of blood perfusion in vivo. However, LSCI faces difficulties in accurately resolving blood perfusion in microvessels. Although the transmissive detecting geometry can improve the spatial resolution of tissue imaging, ballistic photons directly transmitting forward through tissue without scattering will cause misestimating in the flow speed by LSCI because of the lack of a quantitative theoretical model of transmissvie LSCI. Here, we develop a model of temporal LSCI which accounts for the effect of nonscattered light on estimating decorrelation time. Based on this model, we further propose a dual-exposure temporal laser speckle imaging method (dEtLSCI) to correct the overestimation of background speed when performing traditional transmissive LSCI, and reconstruct microvascular angiography using the scattered component extracted from total transmitted light. Experimental results demonstrated that our new method opens an opportunity for LSCI to simultaneously resolve the blood vessels morphology and blood flow speed at microvascular level in various contexts, ranging from the drug-induced vascular response to angiogenesis and the blood perfusion monitoring during tumor growth.
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3
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Hou H, Tang Y, Coole JB, Kortum A, Schwarz RA, Carns J, Gillenwater AM, Ramalingam P, Milbourne A, Salcedo MP, Schmeler KM, Richards-Kortum RR. Scanning darkfield high-resolution microendoscope for label-free microvascular imaging. BIOMEDICAL OPTICS EXPRESS 2023; 14:5097-5112. [PMID: 37854554 PMCID: PMC10581811 DOI: 10.1364/boe.498584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 08/31/2023] [Accepted: 09/01/2023] [Indexed: 10/20/2023]
Abstract
Characterization of microvascular changes during neoplastic progression has the potential to assist in discriminating precancer and early cancer from benign lesions. Here, we introduce a novel high-resolution microendoscope that leverages scanning darkfield reflectance imaging to characterize angiogenesis without exogenous contrast agents. Scanning darkfield imaging is achieved by coupling programmable illumination with a complementary metal-oxide semiconductor (CMOS) camera rolling shutter, eliminating the need for complex optomechanical components and making the system portable, low-cost (<$5,500) and simple to use. Imaging depth is extended by placing a gradient-index (GRIN) lens at the distal end of the imaging fiber to resolve subepithelial microvasculature. We validated the capability of the scanning darkfield microendoscope to visualize microvasculature at different anatomic sites in vivo by imaging the oral cavity of healthy volunteers. Images of cervical specimens resected for suspected neoplasia reveal distinct microvascular patterns in columnar and squamous epithelium with different grades of precancer, indicating the potential of scanning darkfield microendoscopy to aid in efforts to prevent cervical cancer through early diagnosis.
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Affiliation(s)
- Huayu Hou
- Department of Bioengineering, Rice University, Houston, TX 77005, USA
| | - Yubo Tang
- Department of Bioengineering, Rice University, Houston, TX 77005, USA
| | - Jackson B. Coole
- Department of Bioengineering, Rice University, Houston, TX 77005, USA
| | - Alex Kortum
- Department of Bioengineering, Rice University, Houston, TX 77005, USA
| | | | - Jennifer Carns
- Department of Bioengineering, Rice University, Houston, TX 77005, USA
| | - Ann M. Gillenwater
- Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Preetha Ramalingam
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Andrea Milbourne
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Mila P. Salcedo
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Department of Obstetrics and Gynecology, Federal University of Health Sciences of Porto Alegre (UFCSPA)/Santa Casa Hospital of Porto Alegre, Porto Alegre, Brazil
| | - Kathleen M. Schmeler
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
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Sahu A, Kose K, Kraehenbuehl L, Byers C, Holland A, Tembo T, Santella A, Alfonso A, Li M, Cordova M, Gill M, Fox C, Gonzalez S, Kumar P, Wang AW, Kurtansky N, Chandrani P, Yin S, Mehta P, Navarrete-Dechent C, Peterson G, King K, Dusza S, Yang N, Liu S, Phillips W, Guitera P, Rossi A, Halpern A, Deng L, Pulitzer M, Marghoob A, Chen CSJ, Merghoub T, Rajadhyaksha M. In vivo tumor immune microenvironment phenotypes correlate with inflammation and vasculature to predict immunotherapy response. Nat Commun 2022; 13:5312. [PMID: 36085288 PMCID: PMC9463451 DOI: 10.1038/s41467-022-32738-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 08/12/2022] [Indexed: 12/03/2022] Open
Abstract
Response to immunotherapies can be variable and unpredictable. Pathology-based phenotyping of tumors into ‘hot’ and ‘cold’ is static, relying solely on T-cell infiltration in single-time single-site biopsies, resulting in suboptimal treatment response prediction. Dynamic vascular events (tumor angiogenesis, leukocyte trafficking) within tumor immune microenvironment (TiME) also influence anti-tumor immunity and treatment response. Here, we report dynamic cellular-level TiME phenotyping in vivo that combines inflammation profiles with vascular features through non-invasive reflectance confocal microscopic imaging. In skin cancer patients, we demonstrate three main TiME phenotypes that correlate with gene and protein expression, and response to toll-like receptor agonist immune-therapy. Notably, phenotypes with high inflammation associate with immunostimulatory signatures and those with high vasculature with angiogenic and endothelial anergy signatures. Moreover, phenotypes with high inflammation and low vasculature demonstrate the best treatment response. This non-invasive in vivo phenotyping approach integrating dynamic vasculature with inflammation serves as a reliable predictor of response to topical immune-therapy in patients. Standard assessment of immune infiltration of biopsies is not sufficient to accurately predict response to immunotherapy. Here, the authors show that reflectance confocal microscopy can be used to quantify dynamic vasculature and inflammatory features to better predict treatment response in skin cancers.
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Affiliation(s)
- Aditi Sahu
- Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Kivanc Kose
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Lukas Kraehenbuehl
- Parker Institute for Cancer Immunotherapy, Ludwig Collaborative and Swim Across America Laboratory, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Candice Byers
- Roux Institute, Northeastern University, Portland, ME, USA.,Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA
| | - Aliya Holland
- Parker Institute for Cancer Immunotherapy, Ludwig Collaborative and Swim Across America Laboratory, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Teguru Tembo
- Memorial Sloan Kettering Cancer Center, New York, NY, USA.,SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | | | - Anabel Alfonso
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Madison Li
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Miguel Cordova
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Melissa Gill
- SUNY Downstate Health Sciences University, Brooklyn, NY, USA.,Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital Solna, Stockholm, Sweden.,Faculty of Medicine and Health Sciences, University of Alcala, Madrid, Spain
| | - Christi Fox
- Caliber Imaging and Diagnostics, Rochester, NY, USA
| | - Salvador Gonzalez
- Faculty of Medicine and Health Sciences, University of Alcala, Madrid, Spain
| | - Piyush Kumar
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | | | | | - Shen Yin
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Paras Mehta
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Cristian Navarrete-Dechent
- Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Gary Peterson
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kimeil King
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Stephen Dusza
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ning Yang
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Shuaitong Liu
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Pascale Guitera
- Sydney Melanoma Diagnostic Center, Sydney, NSW, Australia.,Melanoma Institute Australia, Wollstonecraft, NSW, Australia
| | - Anthony Rossi
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Allan Halpern
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Liang Deng
- Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Weill Cornell Medicine, New York, NY, USA
| | | | | | | | - Taha Merghoub
- Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Parker Institute for Cancer Immunotherapy, Ludwig Collaborative and Swim Across America Laboratory, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Weill Cornell Medicine, New York, NY, USA
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5
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Xu Z, Pan Y, Chen N, Zeng S, Liu L, Gao R, Zhang J, Fang C, Song L, Liu C. Visualizing tumor angiogenesis and boundary with polygon-scanning multiscale photoacoustic microscopy. PHOTOACOUSTICS 2022; 26:100342. [PMID: 35433255 PMCID: PMC9010793 DOI: 10.1016/j.pacs.2022.100342] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 02/15/2022] [Accepted: 02/21/2022] [Indexed: 05/05/2023]
Abstract
Recently, we developed an integrated optical-resolution (OR) and acoustic-resolution (AR) PAM, which has multiscale imaging capability using different resolutions. However, limited by the scanning method, a tradeoff exists between the imaging speed and field of view, which impedes its wider applications. Here, we present an improved multiscale PAM which achieves high-speed wide-field imaging based on a homemade polygon scanner. Encoder trigger mode was proposed to avoid jittering of the polygon scanner during imaging. Distortions caused by polygon scanning were analyzed theoretically and compared with traditional types of distortions in optical-scanning PAM. Then a depth correction method was proposed and verified to compensate for the distortions. System characterization of OR-PAM and AR-PAM was performed prior to in vivo imaging. Blood reperfusion of an in vivo mouse ear was imaged continuously to demonstrate the feasibility of the multiscale PAM for high-speed imaging. Results showed that the maximum B-scan rate could be 14.65 Hz in a fixed range of 10 mm. Compared with our previous multiscale system, the imaging speed of the improved system was increased by a factor of 12.35. In vivo imaging of a subcutaneously inoculated B-16 melanoma of a mouse was performed. Results showed that the blood vasculature around the melanoma could be resolved and the melanoma could be visualized at a depth up to 1.6 mm using the multiscale PAM.
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Affiliation(s)
- Zhiqiang Xu
- Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Yinhao Pan
- Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- College of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China
| | - Ningbo Chen
- Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Silue Zeng
- Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Department of Hepatobiliary Surgery I, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China
| | - Liangjian Liu
- Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Rongkang Gao
- Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Jianhui Zhang
- College of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China
| | - Chihua Fang
- Department of Hepatobiliary Surgery I, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China
| | - Liang Song
- Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Chengbo Liu
- Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Corresponding author.
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6
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Mostafavi SM, Amjadian M, Kavehvash Z, Shabany M. Fourier photoacoustic microscope improved resolution on single-pixel imaging. APPLIED OPTICS 2022; 61:1219-1228. [PMID: 35201175 DOI: 10.1364/ao.442628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 01/03/2022] [Indexed: 06/14/2023]
Abstract
A new single-pixel Fourier photoacoustic microscopy (PAM), to the best of our knowledge, is proposed to improve the resolution and region of interest (ROI) of an acquired image. In the previous structure of single-pixel Fourier PAM, called spatially invariant resolution PAM (SIR-PAM), the lateral resolution and ROI are limited by the digital micromirror device (DMD) pixel size and the number of pixels. This limitation is overcome here through illuminating fixed angle interfering plane waves, changing the fringe frequency via varying the frequency of the laser source. Given that the fringe sinusoidal patterns here can be produced by two mirrors, the DMD usage can be omitted. In this way, the fringe frequency can be changed in a wider spectrum, making it possible to capture a wider spectral bandwidth and thus a higher-resolution image. Also, the removal of the ROI limitation results in a high-resolution frequency-swept PAM structure. Monte Carlo simulations show 1.7 times improvement in lateral resolution compared to SIR-PAM based on the point-spread function and full-width-at-half-maximum.
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7
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Turchin I, Bano S, Kirillin M, Orlova A, Perekatova V, Plekhanov V, Sergeeva E, Kurakina D, Khilov A, Kurnikov A, Subochev P, Shirmanova M, Komarova A, Yuzhakova D, Gavrina A, Mallidi S, Hasan T. Combined Fluorescence and Optoacoustic Imaging for Monitoring Treatments against CT26 Tumors with Photoactivatable Liposomes. Cancers (Basel) 2021; 14:197. [PMID: 35008362 PMCID: PMC8750546 DOI: 10.3390/cancers14010197] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 12/22/2021] [Accepted: 12/29/2021] [Indexed: 12/12/2022] Open
Abstract
The newly developed multimodal imaging system combining raster-scan optoacoustic (OA) microscopy and fluorescence (FL) wide-field imaging was used for characterizing the tumor vascular structure with 38/50 μm axial/transverse resolution and assessment of photosensitizer fluorescence kinetics during treatment with novel theranostic agents. A multifunctional photoactivatable multi-inhibitor liposomal (PMILs) nano platform was engineered here, containing a clinically approved photosensitizer, Benzoporphyrin derivative (BPD) in the bilayer, and topoisomerase I inhibitor, Irinotecan (IRI) in its inner core, for a synergetic therapeutic impact. The optimized PMIL was anionic, with the hydrodynamic diameter of 131.6 ± 2.1 nm and polydispersity index (PDI) of 0.05 ± 0.01, and the zeta potential between -14.9 ± 1.04 to -16.9 ± 0.92 mV. In the in vivo studies on BALB/c mice with CT26 tumors were performed to evaluate PMILs' therapeutic efficacy. PMILs demonstrated the best inhibitory effect of 97% on tumor growth compared to the treatment with BPD-PC containing liposomes (PALs), 81%, or IRI containing liposomes (L-[IRI]) alone, 50%. This confirms the release of IRI within the tumor cells upon PMILs triggering by NIR light, which is additionally illustrated by FL monitoring demonstrating enhancement of drug accumulation in tumor initiated by PDT in 24 h after the treatment. OA monitoring revealed the largest alterations of the tumor vascular structure in the PMILs treated mice as compared to BPD-PC or IRI treated mice. The results were further corroborated with histological data that also showed a 5-fold higher percentage of hemorrhages in PMIL treated mice compared to the control groups. Overall, these results suggest that multifunctional PMILs simultaneously delivering PDT and chemotherapy agents along with OA and FL multi-modal imaging offers an efficient and personalized image-guided platform to improve cancer treatment outcomes.
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Affiliation(s)
- Ilya Turchin
- Institute of Applied Physics RAS, 46 Ulyanov St., 603950 Nizhny Novgorod, Russia; (M.K.); (A.O.); (V.P.); (V.P.); (E.S.); (D.K.); (A.K.); (A.K.); (P.S.)
| | - Shazia Bano
- Wellman Center for Photomedicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; (S.B.); (S.M.); (T.H.)
| | - Mikhail Kirillin
- Institute of Applied Physics RAS, 46 Ulyanov St., 603950 Nizhny Novgorod, Russia; (M.K.); (A.O.); (V.P.); (V.P.); (E.S.); (D.K.); (A.K.); (A.K.); (P.S.)
| | - Anna Orlova
- Institute of Applied Physics RAS, 46 Ulyanov St., 603950 Nizhny Novgorod, Russia; (M.K.); (A.O.); (V.P.); (V.P.); (E.S.); (D.K.); (A.K.); (A.K.); (P.S.)
| | - Valeriya Perekatova
- Institute of Applied Physics RAS, 46 Ulyanov St., 603950 Nizhny Novgorod, Russia; (M.K.); (A.O.); (V.P.); (V.P.); (E.S.); (D.K.); (A.K.); (A.K.); (P.S.)
| | - Vladimir Plekhanov
- Institute of Applied Physics RAS, 46 Ulyanov St., 603950 Nizhny Novgorod, Russia; (M.K.); (A.O.); (V.P.); (V.P.); (E.S.); (D.K.); (A.K.); (A.K.); (P.S.)
| | - Ekaterina Sergeeva
- Institute of Applied Physics RAS, 46 Ulyanov St., 603950 Nizhny Novgorod, Russia; (M.K.); (A.O.); (V.P.); (V.P.); (E.S.); (D.K.); (A.K.); (A.K.); (P.S.)
| | - Daria Kurakina
- Institute of Applied Physics RAS, 46 Ulyanov St., 603950 Nizhny Novgorod, Russia; (M.K.); (A.O.); (V.P.); (V.P.); (E.S.); (D.K.); (A.K.); (A.K.); (P.S.)
| | - Aleksandr Khilov
- Institute of Applied Physics RAS, 46 Ulyanov St., 603950 Nizhny Novgorod, Russia; (M.K.); (A.O.); (V.P.); (V.P.); (E.S.); (D.K.); (A.K.); (A.K.); (P.S.)
| | - Alexey Kurnikov
- Institute of Applied Physics RAS, 46 Ulyanov St., 603950 Nizhny Novgorod, Russia; (M.K.); (A.O.); (V.P.); (V.P.); (E.S.); (D.K.); (A.K.); (A.K.); (P.S.)
| | - Pavel Subochev
- Institute of Applied Physics RAS, 46 Ulyanov St., 603950 Nizhny Novgorod, Russia; (M.K.); (A.O.); (V.P.); (V.P.); (E.S.); (D.K.); (A.K.); (A.K.); (P.S.)
| | - Marina Shirmanova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603005 Nizhny Novgorod, Russia; (M.S.); (A.K.); (D.Y.); (A.G.)
| | - Anastasiya Komarova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603005 Nizhny Novgorod, Russia; (M.S.); (A.K.); (D.Y.); (A.G.)
| | - Diana Yuzhakova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603005 Nizhny Novgorod, Russia; (M.S.); (A.K.); (D.Y.); (A.G.)
| | - Alena Gavrina
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603005 Nizhny Novgorod, Russia; (M.S.); (A.K.); (D.Y.); (A.G.)
| | - Srivalleesha Mallidi
- Wellman Center for Photomedicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; (S.B.); (S.M.); (T.H.)
- Department of Biomedical Engineering, Tufts University, Medford, MA 02155, USA
| | - Tayyaba Hasan
- Wellman Center for Photomedicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; (S.B.); (S.M.); (T.H.)
- Division of Health Sciences and Technology, Harvard University and Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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8
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Sun Z, Du J. Suppression of motion artifacts in intravascular photoacoustic image sequences. BIOMEDICAL OPTICS EXPRESS 2021; 12:6909-6927. [PMID: 34858688 PMCID: PMC8606127 DOI: 10.1364/boe.440975] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 10/10/2021] [Accepted: 10/10/2021] [Indexed: 05/25/2023]
Abstract
Intravascular photoacoustic (IVPA) imaging is an image-based imaging modality for the assessment of atherosclerotic plaques. Successful application of IVPA for in vivo coronary arterial imaging requires one overcomes the challenge of motion artifacts associated with the cardiac cycle. We propose a method for correcting artifacts owing to cardiac motion, which are observed in sequential IVPA images acquired by the continuous pullback of the imaging catheter. This method groups raw photoacoustic signals into subsets corresponding to similar phases in the cardiac cycles. Thereafter, the sequential images are reconstructed, by representing the initial pressure distribution on the vascular cross-sections based on the clustered frames of signals by time reversal. Results of simulation data demonstrate the efficacy of this method in suppressing motion artifacts. Qualitative and quantitative evaluations of the method indicate an enhancement of the image quality. Comparison results reveal that this method is computationally efficient in motion correction compared with the image-based gating.
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Affiliation(s)
- Zheng Sun
- Department of Electronic and Communication Engineering, North China Electric Power University, Baoding 071003, Hebei, China
- Hebei Key Laboratory of Power Internet of Things Technology, North China Electric Power University, Baoding 071003, Hebei, China
| | - Jiejie Du
- Department of Electronic and Communication Engineering, North China Electric Power University, Baoding 071003, Hebei, China
- Hebei Key Laboratory of Power Internet of Things Technology, North China Electric Power University, Baoding 071003, Hebei, China
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9
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Rebling J, Ben‐Yehuda Greenwald M, Wietecha M, Werner S, Razansky D. Long-Term Imaging of Wound Angiogenesis with Large Scale Optoacoustic Microscopy. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2021; 8:2004226. [PMID: 34258153 PMCID: PMC8261523 DOI: 10.1002/advs.202004226] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 02/07/2021] [Indexed: 05/05/2023]
Abstract
Wound healing is a well-coordinated process, necessitating efficient formation of new blood vessels. Vascularization defects are therefore a major risk factor for chronic, non-healing wounds. The dynamics of mammalian tissue revascularization, vessel maturation, and remodeling remain poorly understood due to lack of suitable in vivo imaging tools. A label-free large-scale optoacoustic microscopy (LSOM) approach is developed for rapid, non-invasive, volumetric imaging of tissue regeneration over large areas spanning up to 50 mm with a depth penetration of 1.5 mm. Vascular networks in dorsal mouse skin and full-thickness excisional wounds are imaged with capillary resolution during the course of healing, revealing previously undocumented views of the angiogenesis process in an unperturbed wound environment. Development of an automatic analysis framework enables the identification of key features of wound angiogenesis, including vessel length, diameter, tortuosity, and angular alignment. The approach offers a versatile tool for preclinical research in tissue engineering and regenerative medicine, empowering label-free, longitudinal, high-throughput, and quantitative studies of the microcirculation in processes associated with normal and impaired vascular remodeling, and analysis of vascular responses to pharmacological interventions in vivo.
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Affiliation(s)
- Johannes Rebling
- Institute for Biomedical Engineering and Institute of Pharmacology and ToxicologyFaculty of MedicineUniversity of ZurichZurich8057Switzerland
- Institute for Biomedical EngineeringDepartment of Information Technology and Electrical EngineeringETH ZurichZurich8093Switzerland
| | | | - Mateusz Wietecha
- Institute of Molecular Health SciencesDepartment of BiologyETH ZurichZurich8093Switzerland
| | - Sabine Werner
- Institute of Molecular Health SciencesDepartment of BiologyETH ZurichZurich8093Switzerland
| | - Daniel Razansky
- Institute for Biomedical Engineering and Institute of Pharmacology and ToxicologyFaculty of MedicineUniversity of ZurichZurich8057Switzerland
- Institute for Biomedical EngineeringDepartment of Information Technology and Electrical EngineeringETH ZurichZurich8093Switzerland
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10
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Zhang D, Li R, Chen M, Vu T, Sheng H, Yang W, Hoffmann U, Luo J, Yao J. Photoacoustic imaging of in vivo hemodynamic responses to sodium nitroprusside. JOURNAL OF BIOPHOTONICS 2021; 14:e202000478. [PMID: 33768709 PMCID: PMC8263508 DOI: 10.1002/jbio.202000478] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 02/17/2021] [Accepted: 03/12/2021] [Indexed: 05/25/2023]
Abstract
The in vivo hemodynamic impact of sodium nitroprusside (SNP), a widely used antihypertensive agent, has not been well studied. Here, we applied functional optical-resolution photoacoustic microscopy (OR-PAM) to study the hemodynamic responses to SNP in mice in vivo. As expected, after the application of SNP, the systemic blood pressure (BP) was reduced by 53%. The OR-PAM results show that SNP induced an arterial vasodilation of 24% and 23% in the brain and skin, respectively. A weaker venous vasodilation of 9% and 5% was also observed in the brain and skin, respectively. The results show two different types of blood oxygenation response. In mice with decreased blood oxygenation, the arterial and venous oxygenation was respectively reduced by 6% and 13% in the brain, as well as by 7% and 18% in the skin. In mice with increased blood oxygenation, arterial and venous oxygenation was raised by 4% and 22% in the brain, as well as by 1% and 9% in the skin. We observed venous change clearly lagged the arterial change in the skin, but not in the brain. Our results collectively show a correlation among SNP induced changes in systemic BP, vessel size and blood oxygenation.
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Affiliation(s)
- Dong Zhang
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Ran Li
- School of Basic Medical Sciences, North China University of Science and Technology, Tangshan, Hebei, China
- Department of Anesthesiology, Duke University School of Medicine, Durham, NC, USA
| | - Maomao Chen
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Tri Vu
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Huaxin Sheng
- Department of Anesthesiology, Duke University School of Medicine, Durham, NC, USA
| | - Wei Yang
- Department of Anesthesiology, Duke University School of Medicine, Durham, NC, USA
| | - Ulrike Hoffmann
- Department of Anesthesiology, Duke University School of Medicine, Durham, NC, USA
| | - Jianwen Luo
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Junjie Yao
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
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11
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Hosseinaee Z, Le M, Bell K, Reza PH. Towards non-contact photoacoustic imaging [review]. PHOTOACOUSTICS 2020; 20:100207. [PMID: 33024694 PMCID: PMC7530308 DOI: 10.1016/j.pacs.2020.100207] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 06/29/2020] [Accepted: 07/10/2020] [Indexed: 05/06/2023]
Abstract
Photoacoustic imaging (PAI) takes advantage of both optical and ultrasound imaging properties to visualize optical absorption with high resolution and contrast. Photoacoustic microscopy (PAM) is usually categorized with all-optical microscopy techniques such as optical coherence tomography or confocal microscopes. Despite offering high sensitivity, novel imaging contrast, and high resolution, PAM is not generally an all-optical imaging method unlike the other microscopy techniques. One of the significant limitations of photoacoustic microscopes arises from their need to be in physical contact with the sample through a coupling media. This physical contact, coupling, or immersion of the sample is undesirable or impractical for many clinical and pre-clinical applications. This also limits the flexibility of photoacoustic techniques to be integrated with other all-optical imaging microscopes for providing complementary imaging contrast. To overcome these limitations, several non-contact photoacoustic signal detection approaches have been proposed. This paper presents a brief overview of current non-contact photoacoustic detection techniques with an emphasis on all-optical detection methods and their associated physical mechanisms.
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Affiliation(s)
- Zohreh Hosseinaee
- PhotoMedicine Labs, Department of System Design Engineering, University of Waterloo, Ontario, N2L 3G1, Canada
| | - Martin Le
- PhotoMedicine Labs, Department of System Design Engineering, University of Waterloo, Ontario, N2L 3G1, Canada
| | - Kevan Bell
- PhotoMedicine Labs, Department of System Design Engineering, University of Waterloo, Ontario, N2L 3G1, Canada
- IllumiSonics Inc., Department of Systems Design Engineering, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada
| | - Parsin Haji Reza
- PhotoMedicine Labs, Department of System Design Engineering, University of Waterloo, Ontario, N2L 3G1, Canada
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12
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Shrestha B, DeLuna F, Anastasio MA, Yong Ye J, Brey EM. Photoacoustic Imaging in Tissue Engineering and Regenerative Medicine. TISSUE ENGINEERING. PART B, REVIEWS 2020; 26:79-102. [PMID: 31854242 PMCID: PMC7041335 DOI: 10.1089/ten.teb.2019.0296] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 12/13/2019] [Indexed: 12/16/2022]
Abstract
Several imaging modalities are available for investigation of the morphological, functional, and molecular features of engineered tissues in small animal models. While research in tissue engineering and regenerative medicine (TERM) would benefit from a comprehensive longitudinal analysis of new strategies, researchers have not always applied the most advanced methods. Photoacoustic imaging (PAI) is a rapidly emerging modality that has received significant attention due to its ability to exploit the strong endogenous contrast of optical methods with the high spatial resolution of ultrasound methods. Exogenous contrast agents can also be used in PAI for targeted imaging. Applications of PAI relevant to TERM include stem cell tracking, longitudinal monitoring of scaffolds in vivo, and evaluation of vascularization. In addition, the emerging capabilities of PAI applied to the detection and monitoring of cancer and other inflammatory diseases could be exploited by tissue engineers. This article provides an overview of the operating principles of PAI and its broad potential for application in TERM. Impact statement Photoacoustic imaging, a new hybrid imaging technique, has demonstrated high potential in the clinical diagnostic applications. The optical and acoustic aspect of the photoacoustic imaging system works in harmony to provide better resolution at greater tissue depth. Label-free imaging of vasculature with this imaging can be used to track and monitor disease, as well as the therapeutic progression of treatment. Photoacoustic imaging has been utilized in tissue engineering to some extent; however, the full benefit of this technique is yet to be explored. The increasing availability of commercial photoacoustic systems will make application as an imaging tool for tissue engineering application more feasible. This review first provides a brief description of photoacoustic imaging and summarizes its current and potential application in tissue engineering.
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Affiliation(s)
- Binita Shrestha
- Department of Biomedical Engineering, University of Texas at San Antonio, San Antonio, Texas
| | - Frank DeLuna
- Department of Biomedical Engineering, University of Texas at San Antonio, San Antonio, Texas
| | - Mark A. Anastasio
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois
| | - Jing Yong Ye
- Department of Biomedical Engineering, University of Texas at San Antonio, San Antonio, Texas
| | - Eric M. Brey
- Department of Biomedical Engineering, University of Texas at San Antonio, San Antonio, Texas
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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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14
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Zhou HC, Chen N, Zhao H, Yin T, Zhang J, Zheng W, Song L, Liu C, Zheng R. Optical-resolution photoacoustic microscopy for monitoring vascular normalization during anti-angiogenic therapy. PHOTOACOUSTICS 2019; 15:100143. [PMID: 31463195 PMCID: PMC6710376 DOI: 10.1016/j.pacs.2019.100143] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Revised: 07/17/2019] [Accepted: 08/09/2019] [Indexed: 05/03/2023]
Abstract
Monitoring the changes in tumor vascularity is important for anti-angiogenic therapy assessment with therapeutic implications. However, monitoring vascularity is quite challenging due to the lack of appropriate imaging techniques. Here, we describe a non-invasive imaging technique using optical-resolution photoacoustic microscopy (OR-PAM) to track vascular changes in prostate cancer treated with an anti-angiogenic agent, DC101, on a mouse ear xenograft model. Approximately 1-3 days after the initial therapy, OR-PAM imaging detected tumor vascular changes such as reduced vessel tortuosity, decreased vessel diameter and homogenized intratumoral vessel distribution. These observations indicated vessel normalization, which was pathologically validated as increased fractional pericyte coverage, functional perfusion and drug delivery of the vessels. After four DC101 interventions, OR-PAM imaging eventually revealed intratumoral vessel regression. Therefore, OR-PAM imaging of the vasculature offers a promising method to study anti-angiogenic drug mechanisms of action in vivo and holds potential in monitoring and guiding anti-angiogenic therapy.
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Affiliation(s)
- Hui-Chao Zhou
- Department of Medical Ultrasonic, Guangdong Key Laboratory of Liver Disease Research, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Ningbo Chen
- Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou, China
| | - Huangxuan Zhao
- Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Tinghui Yin
- Department of Medical Ultrasonic, Guangdong Key Laboratory of Liver Disease Research, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jianhui Zhang
- School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou, China
| | - Wei Zheng
- Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Liang Song
- Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Chengbo Liu
- Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Corresponding author at: Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Boulevard, Shenzhen 518055, China.
| | - Rongqin Zheng
- Department of Medical Ultrasonic, Guangdong Key Laboratory of Liver Disease Research, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Corresponding author at: Department of Medical Ultrasonic, Guangdong Key Laboratory of Liver Disease Research, The Third Affiliated Hospital, Sun Yat-sen University, Tian He Road 600#, Guangzhou 510630, China.
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Hai P, Imai T, Xu S, Zhang R, Aft RL, Zou J, Wang LV. High-throughput, label-free, single-cell photoacoustic microscopy of intratumoral metabolic heterogeneity. Nat Biomed Eng 2019; 3:381-391. [PMID: 30936431 PMCID: PMC6544054 DOI: 10.1038/s41551-019-0376-5] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Accepted: 02/26/2019] [Indexed: 12/11/2022]
Abstract
Intratumoral heterogeneity, which is manifested in almost all of the hallmarks of cancer, including the significantly altered metabolic profiles of cancer cells, represents a challenge to effective cancer therapy. High-throughput measurements of the metabolism of individual cancer cells would allow direct visualization and quantification of intratumoral metabolic heterogeneity, yet the throughputs of current measurement techniques are limited to about 120 cells per hour. Here, we show that single-cell photoacoustic microscopy can reach throughputs of approximately 12,000 cells per hour by trapping single cells with blood in an oxygen-diffusion-limited high-density microwell array and by using photoacoustic imaging to measure the haemoglobin oxygen change (that is, the oxygen consumption rate) in the microwells. We demonstrate the capability of this label-free technique by performing high-throughput single-cell oxygen-consumption-rate measurements of cultured cells and by imaging intratumoral metabolic heterogeneity in specimens from patients with breast cancer. High-throughput single-cell photoacoustic microscopy of oxygen consumption rates should enable the faster characterization of intratumoral metabolic heterogeneity.
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Affiliation(s)
- Pengfei Hai
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA
- Caltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Toru Imai
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA
- Caltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Song Xu
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA
| | - Ruiying Zhang
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | - Rebecca L Aft
- Department of Surgery, School of Medicine, Washington University, St. Louis, MO, USA
- John Cochran Veterans Hospital, St. Louis, MO, USA
| | - Jun Zou
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA.
| | - Lihong V Wang
- Caltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, CA, USA.
- Caltech Optical Imaging Laboratory, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA.
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16
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Orlova A, Sirotkina M, Smolina E, Elagin V, Kovalchuk A, Turchin I, Subochev P. Raster-scan optoacoustic angiography of blood vessel development in colon cancer models. PHOTOACOUSTICS 2019; 13:25-32. [PMID: 30555784 PMCID: PMC6275215 DOI: 10.1016/j.pacs.2018.11.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Revised: 10/19/2018] [Accepted: 11/13/2018] [Indexed: 05/03/2023]
Abstract
Raster-scan optoacoustic angiography at 532 nm wavelength with 50 μm lateral resolution at 2 mm diagnostic depth was used for quantitative characterization of neoangiogenesis in colon cancer models. Two tumor models of human colon adenocarcinoma (HT-29) and murine colon carcinoma (CT26) different in their histology and vascularization were compared. Tumors of both origins showed an inhomogeneous distribution of areas with high and low vascularization. Rapidly growing CT26 tumor demonstrated a higher rate of vessel growth from the periphery to the center. Peculiarities of the vascularity of tumor models revealed by optoacoustic imaging were confirmed by fluorescent microscopy with FITC-dextran and morphological analysis. The obtained results may be important for the investigation of tumor development and for improvement of colon cancer treatment strategies.
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Affiliation(s)
- Anna Orlova
- Institute of Applied Physics, Russian Academy of Sciences, 46 Ulyanov Str., Nizhny Novgorod 603950, Russia
- Corresponding author.
| | - Marina Sirotkina
- Privolzhsky Medical Research University, 10/1 Minin & Pozharsky sq., Nizhny Novgorod 603950, Russia
| | - Ekaterina Smolina
- Institute of Applied Physics, Russian Academy of Sciences, 46 Ulyanov Str., Nizhny Novgorod 603950, Russia
| | - Vadim Elagin
- Privolzhsky Medical Research University, 10/1 Minin & Pozharsky sq., Nizhny Novgorod 603950, Russia
| | - Andrey Kovalchuk
- Institute of Applied Physics, Russian Academy of Sciences, 46 Ulyanov Str., Nizhny Novgorod 603950, Russia
| | - Ilya Turchin
- Institute of Applied Physics, Russian Academy of Sciences, 46 Ulyanov Str., Nizhny Novgorod 603950, Russia
| | - Pavel Subochev
- Institute of Applied Physics, Russian Academy of Sciences, 46 Ulyanov Str., Nizhny Novgorod 603950, Russia
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17
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Zhang W, Li Y, Nguyen VP, Huang Z, Liu Z, Wang X, Paulus YM. High-resolution, in vivo multimodal photoacoustic microscopy, optical coherence tomography, and fluorescence microscopy imaging of rabbit retinal neovascularization. LIGHT, SCIENCE & APPLICATIONS 2018; 7:103. [PMID: 30534372 PMCID: PMC6281580 DOI: 10.1038/s41377-018-0093-y] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2018] [Revised: 10/21/2018] [Accepted: 10/27/2018] [Indexed: 05/03/2023]
Abstract
Photoacoustic microscopy (PAM) is an emerging imaging technology that can non-invasively visualize ocular structures in animal eyes. This report describes an integrated multimodality imaging system that combines PAM, optical coherence tomography (OCT), and fluorescence microscopy (FM) to evaluate angiogenesis in larger animal eyes. High-resolution in vivo imaging was performed in live rabbit eyes with vascular endothelial growth factor (VEGF)-induced retinal neovascularization (RNV). The results demonstrate that our multimodality imaging system can non-invasively visualize RNV in both albino and pigmented rabbits to determine retinal pathology using PAM and OCT and verify the leakage of neovascularization using FM and fluorescein dye. This work presents high-resolution visualization of angiogenesis in rabbits using a multimodality PAM, OCT, and FM system and may represent a major step toward the clinical translation of the technology.
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Affiliation(s)
- Wei Zhang
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48105 USA
- Institution of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300192 China
| | - Yanxiu Li
- Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI 48105 USA
- Department of Ophthalmology, Xiangya Hospital, Central South University, Changsha, Hunan 410008 China
| | - Van Phuc Nguyen
- Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI 48105 USA
| | - Ziyi Huang
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48105 USA
| | - Zhipeng Liu
- Institution of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300192 China
| | - Xueding Wang
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48105 USA
- Department of Radiology, University of Michigan, Ann Arbor, MI 48105 USA
| | - Yannis M. Paulus
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48105 USA
- Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI 48105 USA
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18
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Park K, Kim JY, Lee C, Jeon S, Lim G, Kim C. Handheld Photoacoustic Microscopy Probe. Sci Rep 2017; 7:13359. [PMID: 29042650 PMCID: PMC5645466 DOI: 10.1038/s41598-017-13224-3] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2017] [Accepted: 09/20/2017] [Indexed: 11/09/2022] Open
Abstract
Optical resolution photoacoustic microscopy (OR-PAM) is a non-invasive, label-free method of in vivo imaging with microscopic resolution and high optical contrast. Based on intrinsic contrasts, OR-PAM has expanded to include in vivo vessel imaging, flow cytometry, physiological parameter analysis, and single-cell characterization. However, since conventional OR-PAM systems have a fixed tabletop configuration, a large system size, and slow imaging speed, their use in preclinical and clinical studies remains limited. In this study, using microelectromechanical systems (MEMS) technology, we developed a handheld PAM probe with a high signal-to-noise ratio and image rate. To enable broader application of the OR-PAM system, we reduced its size and combined its fast scanning capabilities into a small handheld probe that uses a 2-axis waterproof MEMS scanner (2A-WP-MEMS scanner). All acoustical, optical, and mechanical components are integrated into a single probe with a diameter of 17 mm and a weight of 162 g. This study shows phantom and in vivo images of various samples acquired with the probe, including carbon fibers, electrospun microfibers, and the ear, iris, and brain of a living mouse. In particular, this study investigated the possibility of clinical applications for melanoma diagnosis by imaging the boundaries and morphology of a human mole.
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Affiliation(s)
- Kyungjin Park
- School of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk, 37673, Republic of Korea
| | - Jin Young Kim
- Department of Creative IT Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk, 37673, Republic of Korea
| | - Changho Lee
- Department of Creative IT Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk, 37673, Republic of Korea
- Department of Nuclear medicine, Chonnam National University Medical School & Hwasun Hospital, 160 Baekseo-ro, Gwangju, 61469, South Korea
| | - Seungwan Jeon
- Department of Creative IT Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk, 37673, Republic of Korea
| | - Geunbae Lim
- School of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk, 37673, Republic of Korea.
- Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk, 37673, Republic of Korea.
| | - Chulhong Kim
- School of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk, 37673, Republic of Korea.
- Department of Creative IT Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk, 37673, Republic of Korea.
- Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk, 37673, Republic of Korea.
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19
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Deán-Ben XL, Gottschalk S, Mc Larney B, Shoham S, Razansky D. Advanced optoacoustic methods for multiscale imaging of in vivo dynamics. Chem Soc Rev 2017; 46:2158-2198. [PMID: 28276544 PMCID: PMC5460636 DOI: 10.1039/c6cs00765a] [Citation(s) in RCA: 182] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Visualization of dynamic functional and molecular events in an unperturbed in vivo environment is essential for understanding the complex biology of living organisms and of disease state and progression. To this end, optoacoustic (photoacoustic) sensing and imaging have demonstrated the exclusive capacity to maintain excellent optical contrast and high resolution in deep-tissue observations, far beyond the penetration limits of modern microscopy. Yet, the time domain is paramount for the observation and study of complex biological interactions that may be invisible in single snapshots of living systems. This review focuses on the recent advances in optoacoustic imaging assisted by smart molecular labeling and dynamic contrast enhancement approaches that enable new types of multiscale dynamic observations not attainable with other bio-imaging modalities. A wealth of investigated new research topics and clinical applications is further discussed, including imaging of large-scale brain activity patterns, volumetric visualization of moving organs and contrast agent kinetics, molecular imaging using targeted and genetically expressed labels, as well as three-dimensional handheld diagnostics of human subjects.
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Affiliation(s)
- X L Deán-Ben
- Institute for Biological and Medical Imaging (IBMI), Helmholtz Center Munich, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.
| | - S Gottschalk
- Institute for Biological and Medical Imaging (IBMI), Helmholtz Center Munich, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.
| | - B Mc Larney
- Institute for Biological and Medical Imaging (IBMI), Helmholtz Center Munich, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany. and Faculty of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany
| | - S Shoham
- Department of Biomedical Engineering, Technion - Israel Institute of Technology, 32000 Haifa, Israel
| | - D Razansky
- Institute for Biological and Medical Imaging (IBMI), Helmholtz Center Munich, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany. and Faculty of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany
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20
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Liu C, Gong X, Lin R, Liu F, Chen J, Wang Z, Song L, Chu J. Advances in Imaging Techniques and Genetically Encoded Probes for Photoacoustic Imaging. Am J Cancer Res 2016; 6:2414-2430. [PMID: 27877244 PMCID: PMC5118604 DOI: 10.7150/thno.15878] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2016] [Accepted: 05/31/2016] [Indexed: 11/05/2022] Open
Abstract
Photoacoustic (PA) imaging is a rapidly emerging biomedical imaging modality that is capable of visualizing cellular and molecular functions with high detection sensitivity and spatial resolution in deep tissue. Great efforts and progress have been made on the development of various PA imaging technologies with improved resolution and sensitivity over the past two decades. Various PA probes with high contrast have also been extensively developed, with many important biomedical applications. In comparison with chemical dyes and nanoparticles, genetically encoded probes offer easier labeling of defined cells within tissues or proteins of interest within a cell, have higher stability in vivo, and eliminate the need for delivery of exogenous substances. Genetically encoded probes have thus attracted increasing attention from researchers in engineering and biomedicine. In this review, we aim to provide an overview of the existing PA imaging technologies and genetically encoded PA probes, and describe further improvements in PA imaging techniques and the near-infrared photochromic protein BphP1, the most sensitive genetically encoded probe thus far, as well as the potential biomedical applications of BphP1-based PA imaging in vivo.
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21
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Recent developments in vascular imaging techniques in tissue engineering and regenerative medicine. BIOMED RESEARCH INTERNATIONAL 2015; 2015:783983. [PMID: 25821821 PMCID: PMC4363824 DOI: 10.1155/2015/783983] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2014] [Accepted: 01/30/2015] [Indexed: 01/25/2023]
Abstract
Adequate vascularisation is key in determining the clinical outcome of stem cells and engineered tissue in regenerative medicine. Numerous imaging modalities have been developed and used for the visualization of vascularisation in tissue engineering. In this review, we briefly discuss the very recent advances aiming at high performance imaging of vasculature. We classify the vascular imaging modalities into three major groups: nonoptical methods (X-ray, magnetic resonance, ultrasound, and positron emission imaging), optical methods (optical coherence, fluorescence, multiphoton, and laser speckle imaging), and hybrid methods (photoacoustic imaging). We then summarize the strengths and challenges of these methods for preclinical and clinical applications.
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