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Rawat S, Trius Béjar J, Wang A. Characterization of Optical, Thermal, and Viscoelastic Properties of Pollenkitt in Angiosperm Pollen Using In-Line Digital Holographic Microscopy. ACS APPLIED BIO MATERIALS 2024; 7:4029-4038. [PMID: 38756048 DOI: 10.1021/acsabm.4c00367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/18/2024]
Abstract
Pollen grains are remarkable material composites, with various organelles in their fragile interior protected by a strong shell made of sporopollenin. The outermost layer of angiosperm pollen grains contains a lipid-rich substance called pollenkitt, which is a natural bioadhesive that helps preserve structural integrity when the pollen grain is exposed to external environmental stresses. In addition, its viscous nature enables it to adhere to various floral and insect surfaces, facilitating the pollination process. To examine the physicochemical properties of aqueous pollenkitt droplets, we used in-line digital holographic microscopy to capture light scattering from individual pollenkitt particles. Comparison of pollenkitt holograms to those modeled using the Lorenz-Mie theory enables investigations into the minute variations in the refractive index and size resulting from changes in local temperature and pollen aging.
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Affiliation(s)
- Siddharth Rawat
- School of Chemistry, UNSW Sydney, Sydney, New South Wales 2052, Australia
- School of Physics, UNSW Sydney, Sydney, New South Wales 2052, Australia
- Australian Centre for Astrobiology, UNSW Sydney, Sydney, New South Wales 2052, Australia
- ARC CoE in Synthetic Biology, UNSW Sydney, Sydney, New South Wales 2052, Australia
| | - Juan Trius Béjar
- Departament de Física, Universitat Politècnica de Catalunya, Barcelona 08034, Spain
| | - Anna Wang
- School of Chemistry, UNSW Sydney, Sydney, New South Wales 2052, Australia
- Australian Centre for Astrobiology, UNSW Sydney, Sydney, New South Wales 2052, Australia
- ARC CoE in Synthetic Biology, UNSW Sydney, Sydney, New South Wales 2052, Australia
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2
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Yanina IY, Dyachenko PA, Abdurashitov AS, Shalin AS, Minin IV, Minin OV, Bulygin AD, Vrazhnov DA, Kistenev YV, Tuchin VV. Light distribution in fat cell layers at physiological temperatures. Sci Rep 2023; 13:1073. [PMID: 36658207 PMCID: PMC9852459 DOI: 10.1038/s41598-022-25012-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 11/23/2022] [Indexed: 01/20/2023] Open
Abstract
Adipose tissue (AT) optical properties for physiological temperatures and in vivo conditions are still insufficiently studied. The AT is composed mainly of packed cells close to spherical shape. It is a possible reason that AT demonstrates a very complicated spatial structure of reflected or transmitted light. It was shown with a cellular tissue phantom, is split into a fan of narrow tracks, originating from the insertion point and representing filament-like light distribution. The development of suitable approaches for describing light propagation in a AT is urgently needed. A mathematical model of the propagation of light through the layers of fat cells is proposed. It has been shown that the sharp local focusing of optical radiation (light localized near the shadow surface of the cells) and its cleavage by coupling whispering gallery modes depends on the optical thickness of the cell layer. The optical coherence tomography numerical simulation and experimental studies results demonstrate the importance of sharp local focusing in AT for understanding its optical properties for physiological conditions and at AT heating.
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Affiliation(s)
- Irina Yu Yanina
- Science Medical Center, Saratov State University, 83 Astrakhanskaya Str., Saratov, Russia, 410012. .,Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, 36 Lenin's Av., Tomsk, Russia, 634050.
| | - Polina A Dyachenko
- Science Medical Center, Saratov State University, 83 Astrakhanskaya Str., Saratov, Russia, 410012.,Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, 36 Lenin's Av., Tomsk, Russia, 634050
| | - Arkady S Abdurashitov
- Center for Neurobiology and Brain Restoration, Skolkovo Institute of Science and Technology, 3Nobelya Str., Moscow, Russia, 121205
| | - Alexander S Shalin
- Center for Photonics and 2D Materials, Moscow Institute of Physics and Technology, Dolgoprudny, 141700, Russia.,Institute of Telecommunications, Riga Technical University, 12 Azenes str., LV-1658, Riga, Latvia.,Laboratory of Fiber Optics and Optical Measurements UB-1, Kotel'nikov Institute of Radio Engineering and Electronics of Russian Academy of Sciences (Ulyanovsk Branch), 48 Goncharova Str., Ulyanovsk, Russia, 432011
| | - Igor V Minin
- School of Nondestructive Testing, Tomsk Polytechnic University, 30 Lenin Av., Tomsk, Russia, 634050.,Institute for Strategic Studies, Siberian State University of Geosystems and Technologies, 10 Plahotnogo Str., Novosibirsk, Russia, 630108
| | - Oleg V Minin
- School of Nondestructive Testing, Tomsk Polytechnic University, 30 Lenin Av., Tomsk, Russia, 634050.,Institute for Strategic Studies, Siberian State University of Geosystems and Technologies, 10 Plahotnogo Str., Novosibirsk, Russia, 630108
| | - Andrey D Bulygin
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, 36 Lenin's Av., Tomsk, Russia, 634050.,Laboratory of Nonlinear Optical Interactions, V.E. Zuev Institute of Atmospheric Optics of Siberian Branch of the Russian Academy of Sciences, 1 Academician Zuev Sq., Tomsk, Russia, 634055
| | - Denis A Vrazhnov
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, 36 Lenin's Av., Tomsk, Russia, 634050.,Laboratory for Remote Sensing of the Environment, V.E. Zuev Institute of Atmospheric Optics of Siberian Branch of the Russian Academy of Sciences, 1 Academician Zuev Sq., Tomsk, Russia, 634055
| | - Yury V Kistenev
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, 36 Lenin's Av., Tomsk, Russia, 634050.,Laboratory for Remote Sensing of the Environment, V.E. Zuev Institute of Atmospheric Optics of Siberian Branch of the Russian Academy of Sciences, 1 Academician Zuev Sq., Tomsk, Russia, 634055
| | - Valery V Tuchin
- Science Medical Center, Saratov State University, 83 Astrakhanskaya Str., Saratov, Russia, 410012.,Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, 36 Lenin's Av., Tomsk, Russia, 634050.,Laboratory of Laser Diagnostics of Technical and Living Systems, Institute of Precision Mechanics and Control, FRC "Saratov Scientific Centre of the Russian Academy of Sciences", 24 Rabochaya Str., Saratov, Russia, 410028.,A.N. Bach Institute of Biochemistry, FRC "Fundamentals of Biotechnology", 33-2, Leninsky Av., Moscow, Russia, 119991
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3
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Martins IS, Silva HF, Lazareva EN, Chernomyrdin NV, Zaytsev KI, Oliveira LM, Tuchin VV. Measurement of tissue optical properties in a wide spectral range: a review [Invited]. BIOMEDICAL OPTICS EXPRESS 2023; 14:249-298. [PMID: 36698664 PMCID: PMC9841994 DOI: 10.1364/boe.479320] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 11/29/2022] [Accepted: 11/29/2022] [Indexed: 06/17/2023]
Abstract
A distinctive feature of this review is a critical analysis of methods and results of measurements of the optical properties of tissues in a wide spectral range from deep UV to terahertz waves. Much attention is paid to measurements of the refractive index of biological tissues and liquids, the knowledge of which is necessary for the effective application of many methods of optical imaging and diagnostics. The optical parameters of healthy and pathological tissues are presented, and the reasons for their differences are discussed, which is important for the discrimination of pathologies and the demarcation of their boundaries. When considering the interaction of terahertz radiation with tissues, the concept of an effective medium is discussed, and relaxation models of the effective optical properties of tissues are presented. Attention is drawn to the manifestation of the scattering properties of tissues in the THz range and the problems of measuring the optical properties of tissues in this range are discussed. In conclusion, a method for the dynamic analysis of the optical properties of tissues under optical clearing using an application of immersion agents is presented. The main mechanisms and technologies of optical clearing, as well as examples of the successful application for differentiation of healthy and pathological tissues, are analyzed.
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Affiliation(s)
- Inês S. Martins
- Center for Innovation in Engineering and Industrial Technology, ISEP, Porto, Portugal
| | - Hugo F. Silva
- Porto University, School of Engineering, Porto, Portugal
| | - Ekaterina N. Lazareva
- Science Medical Center, Saratov State University, Saratov, Russia
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia
| | | | - Kirill I. Zaytsev
- Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia
| | - Luís M. Oliveira
- Physics Department, Polytechnic of Porto – School of Engineering (ISEP), Porto, Portugal
- Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Porto, Portugal
| | - Valery V. Tuchin
- Science Medical Center, Saratov State University, Saratov, Russia
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia
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4
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Cantieni T, da Silva-Kress O, Wolf U. Detectability of low-oxygenated regions in human muscle tissue using near-infrared spectroscopy and phantom models. BIOMEDICAL OPTICS EXPRESS 2022; 13:6182-6195. [PMID: 36589557 PMCID: PMC9774876 DOI: 10.1364/boe.473563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 09/30/2022] [Accepted: 10/01/2022] [Indexed: 06/17/2023]
Abstract
The present work aims to describe the detectability limits of hypoxic regions in human muscle under moderate thicknesses of adipose tissue to serve as a groundwork for the development of a wearable device to prevent pressure injuries. The optimal source-detector distances, detection limits, and the spatial resolution of hypoxic volumes in the human muscle are calculated using finite element method-based computer simulations conducted on 3-layer tissue models. Silicone phantoms matching the simulation geometries were manufactured, and their measurement results were compared to the simulations. The simulations showed good agreement with the performed experiments. Our results show detectability of hypoxic volumes under adipose tissue thicknesses of up to 1.5 cm. The maximum tissue depth, at which hypoxic volumes could be detected was 2.8 cm. The smallest detectable hypoxic volume in our study was 1.2 cm3. We thus show the detectability of hypoxic volumes in sizes consistent with those of early-stage pressure injury formation and, consequently, the feasibility of a device to prevent pressure injuries.
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5
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Pajić T, Todorović NV, Živić M, Nikolić SN, Rabasović MD, Clayton AHA, Krmpot AJ. Label-free third harmonic generation imaging and quantification of lipid droplets in live filamentous fungi. Sci Rep 2022; 12:18760. [PMID: 36335164 PMCID: PMC9637149 DOI: 10.1038/s41598-022-23502-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 11/01/2022] [Indexed: 11/07/2022] Open
Abstract
We report the utilization of Third-Harmonic Generation microscopy for label-free live cell imaging of lipid droplets in the hypha of filamentous fungus Phycomyces blakesleeanus. THG microscopy images showed bright spherical features dispersed throughout the hypha cytoplasm in control conditions and a transient increase in the number of bright features after complete nitrogen starvation. Colocalization analysis of THG and lipid-counterstained images disclosed that the cytoplasmic particles were lipid droplets. Particle Size Analysis and Image Correlation Spectroscopy were used to quantify the number density and size of lipid droplets. The two analysis methods both revealed an increase from 16 × 10-3 to 23 × 10-3 lipid droplets/µm2 after nitrogen starvation and a decrease in the average size of the droplets (range: 0.5-0.8 µm diameter). In conclusion, THG imaging, followed by PSA and ICS, can be reliably used for filamentous fungi for the in vivo quantification of lipid droplets without the need for labeling and/or fixation. In addition, it has been demonstrated that ICS is suitable for THG microscopy.
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Affiliation(s)
- Tanja Pajić
- grid.7149.b0000 0001 2166 9385Faculty of Biology, Institute of Physiology and Biochemistry, University of Belgrade, Studentski trg 16, Belgrade, 11158 Serbia
| | - Nataša V. Todorović
- grid.7149.b0000 0001 2166 9385Institute for Biological Research “Siniša Stanković”, University of Belgrade, National Institute of the Republic of Serbia, Bulevar Despota Stefana 142, Belgrade, 11000 Serbia
| | - Miroslav Živić
- grid.7149.b0000 0001 2166 9385Faculty of Biology, Institute of Physiology and Biochemistry, University of Belgrade, Studentski trg 16, Belgrade, 11158 Serbia
| | - Stanko N. Nikolić
- grid.7149.b0000 0001 2166 9385Institute of Physics Belgrade, University of Belgrade, National Institute of the Republic of Serbia, Pregrevica 118, Belgrade, 11080 Serbia
| | - Mihailo D. Rabasović
- grid.7149.b0000 0001 2166 9385Institute of Physics Belgrade, University of Belgrade, National Institute of the Republic of Serbia, Pregrevica 118, Belgrade, 11080 Serbia
| | - Andrew H. A. Clayton
- grid.1027.40000 0004 0409 2862Department of Physics and Astronomy, Optical Sciences Centre, School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC 3122 Australia
| | - Aleksandar J. Krmpot
- grid.7149.b0000 0001 2166 9385Institute of Physics Belgrade, University of Belgrade, National Institute of the Republic of Serbia, Pregrevica 118, Belgrade, 11080 Serbia
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6
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Guo H, Tikhomirov AB, Mitchell A, Alwayn IPJ, Zeng H, Hewitt KC. Real-time assessment of liver fat content using a filter-based Raman system operating under ambient light through lock-in amplification. BIOMEDICAL OPTICS EXPRESS 2022; 13:5231-5245. [PMID: 36425639 PMCID: PMC9664892 DOI: 10.1364/boe.467849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 08/23/2022] [Accepted: 08/26/2022] [Indexed: 06/16/2023]
Abstract
During liver procurement, surgeons mostly rely on their subjective visual inspection of the liver to assess the degree of fatty infiltration, for which misclassification is common. We developed a Raman system, which consists of a 1064 nm laser, a handheld probe, optical filters, photodiodes, and a lock-in amplifier for real-time assessment of liver fat contents. The system performs consistently in normal and strong ambient light, and the excitation incident light penetrates at least 1 mm into duck fat phantoms and duck liver samples. The signal intensity is linearly correlated with MRI-calibrated fat contents of the phantoms and the liver samples.
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Affiliation(s)
- Hao Guo
- Department of Physics and Atmospheric Science, Dalhousie University, 6310 Coburg Road, Halifax, NS B3H 4R2, Canada
- Department of Medical Physics, Nova Scotia Health Authority, 5820 University Avenue Halifax, NS B3H 1V7, Canada
| | - Alexey B. Tikhomirov
- Department of Physics and Atmospheric Science, Dalhousie University, 6310 Coburg Road, Halifax, NS B3H 4R2, Canada
| | - Alexandria Mitchell
- Department of Physics and Atmospheric Science, Dalhousie University, 6310 Coburg Road, Halifax, NS B3H 4R2, Canada
- Department of Medical Physics, Nova Scotia Health Authority, 5820 University Avenue Halifax, NS B3H 1V7, Canada
| | - Ian Patrick Joseph Alwayn
- Department of Surgery, Leiden University Medical Center (LUMC) Transplant Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Haishan Zeng
- Imaging Unit, Integrative Oncology Department, BC Cancer Research Centre, 675 West 10th Avenue, Vancouver, BC V5Z 1L3, Canada
| | - Kevin C. Hewitt
- Department of Physics and Atmospheric Science, Dalhousie University, 6310 Coburg Road, Halifax, NS B3H 4R2, Canada
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7
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Yanina IY, Tanikawa Y, Genina EA, Dyachenko PA, Tuchina DK, Bashkatov AN, Dolotov LE, Tarakanchikova YV, Terentuk GS, Navolokin NA, Bucharskaya AB, Maslyakova GN, Iga Y, Takimoto S, Tuchin VV. Immersion optical clearing of adipose tissue in rats: ex vivo and in vivo studies. JOURNAL OF BIOPHOTONICS 2022; 15:e202100393. [PMID: 35340116 DOI: 10.1002/jbio.202100393] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 03/24/2022] [Accepted: 03/25/2022] [Indexed: 06/14/2023]
Abstract
Optical clearing (OC) of adipose tissue has not been studied enough, although it can be promising in medical applications, including surgery and cosmetology, for example, to visualize blood vessels or increase the permeability of tissues to laser beams. The main objective of this work is to develop technology for OC of abdominal adipose tissue in vivo using hyperosmotic optical clearing agents (OCAs). The maximum OC effect (77%) was observed for ex vivo rat adipose tissue samples exposed to OCA on fructose basis for 90 minutes. For in vivo studies, the maximum effect of OC (65%) was observed when using OCA based on diatrizoic acid and dimethylsulfoxide for 120 minutes. Histological analysis showed that in vivo application of OCAs may induce a limited local necrosis of fat cells. The efficiency of OC correlated with local tissue damage through cell necrosis due to accompanied cell lipolysis.
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Affiliation(s)
- Irina Yu Yanina
- Research-Educational Institute of Optics and Biophotonics, Saratov State University, Saratov, Russia
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia
| | | | - Elina A Genina
- Research-Educational Institute of Optics and Biophotonics, Saratov State University, Saratov, Russia
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia
| | - Polina A Dyachenko
- Research-Educational Institute of Optics and Biophotonics, Saratov State University, Saratov, Russia
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia
| | - Daria K Tuchina
- Research-Educational Institute of Optics and Biophotonics, Saratov State University, Saratov, Russia
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia
| | - Alexey N Bashkatov
- Research-Educational Institute of Optics and Biophotonics, Saratov State University, Saratov, Russia
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia
| | - Leonid E Dolotov
- Research-Educational Institute of Optics and Biophotonics, Saratov State University, Saratov, Russia
| | | | | | - Nikita A Navolokin
- Science Medical Center, Saratov State University, Saratov, Russia
- Research-Scientific Institute of Fundamental and Clinic Uronephrology, Saratov State Medical University, Saratov, Russia
| | - Alla B Bucharskaya
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia
- Science Medical Center, Saratov State University, Saratov, Russia
- Research-Scientific Institute of Fundamental and Clinic Uronephrology, Saratov State Medical University, Saratov, Russia
| | - Galina N Maslyakova
- Science Medical Center, Saratov State University, Saratov, Russia
- Research-Scientific Institute of Fundamental and Clinic Uronephrology, Saratov State Medical University, Saratov, Russia
| | | | | | - Valery V Tuchin
- Research-Educational Institute of Optics and Biophotonics, Saratov State University, Saratov, Russia
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia
- Science Medical Center, Saratov State University, Saratov, Russia
- Laboratory of Laser Diagnostics of Technical and Living Systems, Institute of Precision Mechanics and Control, FRC "Saratov Scientific Centre of the Russian Academy of Sciences", Saratov, Russia
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8
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Dubal J, Arce P, South C, Florescu L. Cherenkov light emission in molecular radiation therapy of the thyroid and its application to dosimetry. BIOMEDICAL OPTICS EXPRESS 2022; 13:2431-2449. [PMID: 35519238 PMCID: PMC9045923 DOI: 10.1364/boe.448139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 03/07/2022] [Accepted: 03/11/2022] [Indexed: 06/14/2023]
Abstract
Numerical experiments based on Monte Carlo simulations and clinical CT data are performed to investigate the spatial and spectral characteristics of Cherenkov light emission and the relationship between Cherenkov light intensity and deposited dose in molecular radiotherapy of hyperthyroidism and papillary thyroid carcinoma. It is found that Cherenkov light is emitted mostly in the treatment volume, the spatial distribution of Cherenkov light at the surface of the patient presents high-value regions at locations that depend on the symmetry and location of the treatment volume, and the surface light in the near-infrared spectral region originates from the treatment site. The effect of inter-patient variability in the tissue optical parameters and radioisotope uptake on the linear relationship between the dose absorbed by the treatment volume and Cherenkov light intensity at the surface of the patient is investigated, and measurements of surface light intensity for which this effect is minimal are identified. The use of Cherenkov light measurements at the patient surface for molecular radiation therapy dosimetry is also addressed.
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Affiliation(s)
- Jigar Dubal
- Centre for Vision, Speech and Signal Processing, University of Surrey, GU2 7XH, United Kingdom
| | - Pedro Arce
- CIEMAT (Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas), 28040 Madrid, Spain
| | - Christopher South
- Department of Medical Physics, Royal Surrey County Hospital NHS Foundation Trust, Guildford GU2 7XX, United Kingdom
| | - Lucia Florescu
- Centre for Vision, Speech and Signal Processing, University of Surrey, GU2 7XH, United Kingdom
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9
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Fast Estimation of the Spectral Optical Properties of Rabbit Pancreas and Pigment Content Analysis. PHOTONICS 2022. [DOI: 10.3390/photonics9020122] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
The pancreas is a highly important organ, since it produces insulin and prevents the occurrence of diabetes. Although rare, pancreatic cancer is highly lethal, with a small life expectancy after being diagnosed. The pancreas is one of the organs less studied in the field of biophotonics. With the objective of acquiring information that can be used in the development of future applications to diagnose and treat pancreas diseases, the spectral optical properties of the rabbit pancreas were evaluated in a broad-spectral range, between 200 and 1000 nm. The method used to obtain such optical properties is simple, based almost on direct calculations from spectral measurements. The optical properties obtained show similar wavelength dependencies to the ones obtained for other tissues, but a further analysis on the spectral absorption coefficient showed that the pancreas tissues contain pigments, namely melanin, and lipofuscin. Using a simple calculation, it was possible to retrieve similar contents of these pigments from the absorption spectrum of the pancreas, which indicates that they accumulate in the same proportion as a result of the aging process. Such pigment accumulation was camouflaging the real contents of DNA, hemoglobin, and water, which were precisely evaluated after subtracting the pigment absorption.
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10
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Veysset D, Ling T, Zhuo Y, Pandiyan VP, Sabesan R, Palanker D. Interferometric imaging of thermal expansion for temperature control in retinal laser therapy. BIOMEDICAL OPTICS EXPRESS 2022; 13:728-743. [PMID: 35284191 PMCID: PMC8884207 DOI: 10.1364/boe.448803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 12/27/2021] [Accepted: 12/28/2021] [Indexed: 06/14/2023]
Abstract
Precise control of the temperature rise is a prerequisite for proper photothermal therapy. In retinal laser therapy, the heat deposition is primarily governed by the melanin concentration, which can significantly vary across the retina and from patient to patient. In this work, we present a method for determining the optical and thermal properties of layered materials, directly applicable to the retina, using low-energy laser heating and phase-resolved optical coherence tomography (pOCT). The method is demonstrated on a polymer-based tissue phantom heated with a laser pulse focused onto an absorbing layer buried below the phantom's surface. Using a line-scan spectral-domain pOCT, optical path length changes induced by the thermal expansion were extracted from sequential B-scans. The material properties were then determined by matching the optical path length changes to a thermo-mechanical model developed for fast computation. This method determined the absorption coefficient with a precision of 2.5% and the temperature rise with a precision of about 0.2°C from a single laser exposure, while the peak did not exceed 8°C during 1 ms pulse, which is well within the tissue safety range and significantly more precise than other methods.
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Affiliation(s)
- David Veysset
- Hansen Experimental Physics Laboratory, Stanford University, Stanford, CA 94305, USA
- Department of Ophthalmology, Stanford University, Stanford, CA 94305, USA
| | - Tong Ling
- Hansen Experimental Physics Laboratory, Stanford University, Stanford, CA 94305, USA
- Department of Ophthalmology, Stanford University, Stanford, CA 94305, USA
- Present address: School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore 637457, Singapore
| | - Yueming Zhuo
- Hansen Experimental Physics Laboratory, Stanford University, Stanford, CA 94305, USA
- Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA
| | | | - Ramkumar Sabesan
- Department of Ophthalmology, University of Washington, Seattle, WA 98109, USA
| | - Daniel Palanker
- Hansen Experimental Physics Laboratory, Stanford University, Stanford, CA 94305, USA
- Department of Ophthalmology, Stanford University, Stanford, CA 94305, USA
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11
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Acevedo-Barrera A, García-Valenzuela A. Probing bio-tissue films by optical internal reflectivity: modeling and measurements. APPLIED OPTICS 2021; 60:8588-8599. [PMID: 34612962 DOI: 10.1364/ao.433499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 08/28/2021] [Indexed: 06/13/2023]
Abstract
In this paper, we develop a detailed theoretical model for the optical reflectivity of a bio-tissue film confined between two flat interfaces based on the anomalous-diffraction approximation. We consider bio-tissue films consisting of a few layers of spheroidal cells surrounded by extracellular medium. We explore numerically the predictions of our model and compare them with simple effective medium theories, sometimes used as a first attempt to understand the optical properties of biological media. Then, we fit the model to experimental reflectivity-versus-angle-of-incidence curves of confined whole-blood films measured in an internal reflection configuration. Measurements were performed by confining a drop of fresh blood between a prism and a coverslip. Our experimental results show that it is possible to measure the coherent reflectance with small enough error to infer microstructural parameters with a good precision. The errors in measuring the coherent reflectance depend on the reflectivity magnitude. For instance, for a reflectivity of about 0.3 the error is below 2%, and the refractive indices of cells and surrounding medium can be obtained with a precision better than 1%. These results also indicate that the present model can readily be used to figure out the physical changes experienced at the microscale in bio-tissue films during a physicochemical process.
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12
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Helgadottir S, Midtvedt B, Pineda J, Sabirsh A, B. Adiels C, Romeo S, Midtvedt D, Volpe G. Extracting quantitative biological information from bright-field cell images using deep learning. BIOPHYSICS REVIEWS 2021; 2:031401. [PMID: 38505631 PMCID: PMC10903417 DOI: 10.1063/5.0044782] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 06/23/2021] [Indexed: 03/21/2024]
Abstract
Quantitative analysis of cell structures is essential for biomedical and pharmaceutical research. The standard imaging approach relies on fluorescence microscopy, where cell structures of interest are labeled by chemical staining techniques. However, these techniques are often invasive and sometimes even toxic to the cells, in addition to being time consuming, labor intensive, and expensive. Here, we introduce an alternative deep-learning-powered approach based on the analysis of bright-field images by a conditional generative adversarial neural network (cGAN). We show that this is a robust and fast-converging approach to generate virtually stained images from the bright-field images and, in subsequent downstream analyses, to quantify the properties of cell structures. Specifically, we train a cGAN to virtually stain lipid droplets, cytoplasm, and nuclei using bright-field images of human stem-cell-derived fat cells (adipocytes), which are of particular interest for nanomedicine and vaccine development. Subsequently, we use these virtually stained images to extract quantitative measures about these cell structures. Generating virtually stained fluorescence images is less invasive, less expensive, and more reproducible than standard chemical staining; furthermore, it frees up the fluorescence microscopy channels for other analytical probes, thus increasing the amount of information that can be extracted from each cell. To make this deep-learning-powered approach readily available for other users, we provide a Python software package, which can be easily personalized and optimized for specific virtual-staining and cell-profiling applications.
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Affiliation(s)
- Saga Helgadottir
- Department of Physics, University of Gothenburg, Gothenburg, Sweden
| | | | - Jesús Pineda
- Department of Physics, University of Gothenburg, Gothenburg, Sweden
| | - Alan Sabirsh
- Advanced Drug Delivery, Pharmaceutical Sciences, R&D, AstraZeneca, Gothenburg, Sweden
| | | | | | - Daniel Midtvedt
- Department of Physics, University of Gothenburg, Gothenburg, Sweden
| | - Giovanni Volpe
- Department of Physics, University of Gothenburg, Gothenburg, Sweden
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13
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Abstract
The study of the optical properties of biological tissues for a wide spectral range is necessary for the development and planning of noninvasive optical methods to be used in clinical practice. In this study, we propose a new method to calculate almost all optical properties of tissues as a function of wavelength directly from spectral measurements. Using this method, and with the exception of the reduced scattering coefficient, which was obtained by traditional simulation methods, all the other optical properties were calculated in a simple and fast manner for human and pathological colorectal tissues. The obtained results are in good agreement with previous published data, both in magnitude and in wavelength dependence. Since this method is based on spectral measurements and not on discrete-wavelength experimental data, the calculated optical properties contain spectral signatures that correspond to major tissue chromophores such as DNA and hemoglobin. Analysis of the absorption bands of hemoglobin in the wavelength dependence of the absorption spectra of normal and pathological colorectal mucosa allowed to identify differentiated accumulation of a pigment in these tissues. The increased content of this pigment in the pathological mucosa may be used for the future development of noninvasive diagnostic methods for colorectal cancer detection.
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14
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Chen X, Kandel ME, Hu C, Lee YJ, Popescu G. Wolf phase tomography (WPT) of transparent structures using partially coherent illumination. LIGHT, SCIENCE & APPLICATIONS 2020; 9:142. [PMID: 32864117 PMCID: PMC7438521 DOI: 10.1038/s41377-020-00379-4] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 07/30/2020] [Accepted: 08/03/2020] [Indexed: 05/03/2023]
Abstract
In 1969, Emil Wolf proposed diffraction tomography using coherent holographic imaging to extract 3D information from transparent, inhomogeneous objects. In the same era, the Wolf equations were first used to describe the propagation correlations associated with partially coherent fields. Combining these two concepts, we present Wolf phase tomography (WPT), which is a method for performing diffraction tomography using partially coherent fields. WPT reconstruction works directly in the space-time domain, without the need for Fourier transformation, and decouples the refractive index (RI) distribution from the thickness of the sample. We demonstrate the WPT principle using the data acquired by a quantitative-phase-imaging method that upgrades an existing phase-contrast microscope by introducing controlled phase shifts between the incident and scattered fields. The illumination field in WPT is partially spatially coherent (emerging from a ring-shaped pupil function) and of low temporal coherence (white light), and as such, it is well suited for the Wolf equations. From three intensity measurements corresponding to different phase-contrast frames, the 3D RI distribution is obtained immediately by computing the Laplacian and second time derivative of the measured complex correlation function. We validate WPT with measurements of standard samples (microbeads), spermatozoa, and live neural cultures. The high throughput and simplicity of this method enables the study of 3D, dynamic events in living cells across the entire multiwell plate, with an RI sensitivity on the order of 10-5.
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Affiliation(s)
- Xi Chen
- Quantitative Light Imaging Laboratory, Beckman Institute for Advanced Science and Technology, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA
| | - Mikhail E. Kandel
- Quantitative Light Imaging Laboratory, Beckman Institute for Advanced Science and Technology, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA
| | - Chenfei Hu
- Quantitative Light Imaging Laboratory, Beckman Institute for Advanced Science and Technology, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA
| | - Young Jae Lee
- Quantitative Light Imaging Laboratory, Beckman Institute for Advanced Science and Technology, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA
| | - Gabriel Popescu
- Quantitative Light Imaging Laboratory, Beckman Institute for Advanced Science and Technology, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA
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15
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Antonacci G, Beck T, Bilenca A, Czarske J, Elsayad K, Guck J, Kim K, Krug B, Palombo F, Prevedel R, Scarcelli G. Recent progress and current opinions in Brillouin microscopy for life science applications. Biophys Rev 2020; 12:615-624. [PMID: 32458371 PMCID: PMC7311586 DOI: 10.1007/s12551-020-00701-9] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Accepted: 05/07/2020] [Indexed: 12/20/2022] Open
Abstract
Many important biological functions and processes are reflected in cell and tissue mechanical properties such as elasticity and viscosity. However, current techniques used for measuring these properties have major limitations, such as that they can often not measure inside intact cells and/or require physical contact-which cells can react to and change. Brillouin light scattering offers the ability to measure mechanical properties in a non-contact and label-free manner inside of objects with high spatial resolution using light, and hence has emerged as an attractive method during the past decade. This new approach, coined "Brillouin microscopy," which integrates highly interdisciplinary concepts from physics, engineering, and mechanobiology, has led to a vibrant new community that has organized itself via a European funded (COST Action) network. Here we share our current assessment and opinion of the field, as emerged from a recent dedicated workshop. In particular, we discuss the prospects towards improved and more bio-compatible instrumentation, novel strategies to infer more accurate and quantitative mechanical measurements, as well as our current view on the biomechanical interpretation of the Brillouin spectra.
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Affiliation(s)
- Giuseppe Antonacci
- Photonics Research Group, INTEC, Ghent University-imec, 9052, Ghent, Belgium
- Present address: Dipartimento di Fisica, Politecnico di Milano, Piazza Leonardo da Vinci 32, I-20133, Milan, Italy
| | - Timon Beck
- Biotechnology Center, TU Dresden, Dresden, Germany
- Max Planck Institute for the Science of Light & Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany
| | - Alberto Bilenca
- Biomedical Engineering Department, Ben-Gurion University of the Negev, Beersheba, Israel
| | - Jürgen Czarske
- Laboratory of Measurement and Sensor System Technique, TU Dresden, Dresden, Germany
- Cluster of Excellence Physics of Life, TU Dresden, Dresden, Germany
| | - Kareem Elsayad
- Advanced Microscopy, Vienna Biocenter Core Facilities (VBCF), Vienna, Austria.
| | - Jochen Guck
- Biotechnology Center, TU Dresden, Dresden, Germany
- Max Planck Institute for the Science of Light & Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany
| | - Kyoohyun Kim
- Biotechnology Center, TU Dresden, Dresden, Germany
- Max Planck Institute for the Science of Light & Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany
| | - Benedikt Krug
- Laboratory of Measurement and Sensor System Technique, TU Dresden, Dresden, Germany
| | | | - Robert Prevedel
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.
| | - Giuliano Scarcelli
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, USA
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16
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Winters A, Cheong FC, Odete MA, Lumer J, Ruffner DB, Mishra KI, Grier DG, Philips LA. Quantitative Differentiation of Protein Aggregates From Other Subvisible Particles in Viscous Mixtures Through Holographic Characterization. J Pharm Sci 2020; 109:2405-2412. [PMID: 32439328 PMCID: PMC7818018 DOI: 10.1016/j.xphs.2020.05.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Revised: 05/05/2020] [Accepted: 05/05/2020] [Indexed: 11/30/2022]
Abstract
We demonstrate the use of holographic video microscopy to detect individual subvisible particles dispersed in biopharmaceutical formulations and to differentiate them based on material characteristics measured from their holograms. The result of holographic analysis is a precise and accurate measurement of the concentrations and size distributions of multiple classes of subvisible contaminants dispersed in the same product simultaneously. We demonstrate this analytical technique through measurements on model systems consisting of human IgG aggregates in the presence of common contaminants such as silicone oil emulsion droplets and fatty acids. Holographic video microscopy also clearly identifies metal particles and air bubbles. Being able to differentiate and characterize the individual components of such heterogeneous dispersions provides a basis for tracking other factors that influence the stability of protein formulations including handling and degradation of surfactant and other excipients.
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Affiliation(s)
| | | | - Mary Ann Odete
- Spheryx, Inc., 330 E. 38th St., New York, New York 10016
| | - Juliana Lumer
- Spheryx, Inc., 330 E. 38th St., New York, New York 10016
| | | | - Kimberly I Mishra
- Spheryx, Inc., 330 E. 38th St., New York, New York 10016; Department of Physics and Center for Soft Matter Research, New York University, New York, New York 10003
| | - David G Grier
- Department of Physics and Center for Soft Matter Research, New York University, New York, New York 10003
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17
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Kim JH, Jang MJ, Choi J, Lee E, Song KD, Cho J, Kim KT, Cha HJ, Sun W. Optimizing tissue-clearing conditions based on analysis of the critical factors affecting tissue-clearing procedures. Sci Rep 2018; 8:12815. [PMID: 30143733 PMCID: PMC6109102 DOI: 10.1038/s41598-018-31153-7] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Accepted: 08/13/2018] [Indexed: 11/13/2022] Open
Abstract
Tissue-clearing techniques have received great attention for volume imaging and for the potential to be applied in optical diagnosis. In principle, tissue clearing is achieved by reducing light scattering through a combination of lipid removal, size change, and matching of the refractive index (RI) between the imaging solution and the tissue. However, the contributions of these major factors in tissue clearing have not been systematically evaluated yet. In this study, we experimentally measured and mathematically calculated the contribution of these factors to the clearing of four organs (brain, liver, kidney, and lung). We found that these factors differentially influence the maximal clearing efficacy of tissues and the diffusivity of materials inside the tissue. We propose that these physical properties of organs can be utilized for the quality control (Q/C) process during tissue clearing, as well as for the monitoring of the pathological changes of tissues.
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Affiliation(s)
- June Hoan Kim
- Department of Anatomy, Korea University College of Medicine, Seoul, 02841, Republic of Korea
| | - Min Jee Jang
- Department of Anatomy, Korea University College of Medicine, Seoul, 02841, Republic of Korea
| | - Jungyoon Choi
- Department of Anatomy, Korea University College of Medicine, Seoul, 02841, Republic of Korea
| | - Eunsoo Lee
- Department of Anatomy, Korea University College of Medicine, Seoul, 02841, Republic of Korea
| | - Kyung-Deok Song
- Department of Physics, Korea University, Seoul, 02841, Republic of Korea
- Center for Molecular Spectroscopy and Dynamics, Institute for Basic Science (IBS), Seoul, 02841, Republic of Korea
| | - Jaeho Cho
- Department of Radiation Oncology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Republic of Korea
| | - Keun-Tae Kim
- Department of Life Science, Sogang University, 35th Baekbum-ro Mapo-gu, Seoul, 04107, Republic of Korea
| | - Hyuk-Jin Cha
- College of Pharmacy, Department of Pharmacy, Seoul National University, Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea
| | - Woong Sun
- Department of Anatomy, Korea University College of Medicine, Seoul, 02841, Republic of Korea.
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18
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Bashkatov AN, Berezin KV, Dvoretskiy KN, Chernavina ML, Genina EA, Genin VD, Kochubey VI, Lazareva EN, Pravdin AB, Shvachkina ME, Timoshina PA, Tuchina DK, Yakovlev DD, Yakovlev DA, Yanina IY, Zhernovaya OS, Tuchin VV. Measurement of tissue optical properties in the context of tissue optical clearing. JOURNAL OF BIOMEDICAL OPTICS 2018; 23:1-31. [PMID: 30141286 DOI: 10.1117/1.jbo.23.9.091416] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Accepted: 07/30/2018] [Indexed: 05/05/2023]
Abstract
Nowadays, dynamically developing optical (photonic) technologies play an ever-increasing role in medicine. Their adequate and effective implementation in diagnostics, surgery, and therapy needs reliable data on optical properties of human tissues, including skin. This paper presents an overview of recent results on the measurements and control of tissue optical properties. The issues reported comprise a brief review of optical properties of biological tissues and efficacy of optical clearing (OC) method in application to monitoring of diabetic complications and visualization of blood vessels and microcirculation using a number of optical imaging technologies, including spectroscopic, optical coherence tomography, and polarization- and speckle-based ones. Molecular modeling of immersion OC of skin and specific technique of OC of adipose tissue by its heating and photodynamic treatment are also discussed.
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Affiliation(s)
- Alexey N Bashkatov
- Saratov State University, Research-Educational Institute of Optics and Biophotonics, Saratov, Russia
- Tomsk State University, Interdisciplinary Laboratory of Biophotonics, Tomsk, Russia
| | - Kirill V Berezin
- Saratov State University, Research-Educational Institute of Optics and Biophotonics, Saratov, Russia
| | - Konstantin N Dvoretskiy
- Saratov State Medical University, Subdivision of Medical and Biological Physics, Saratov, Russia
| | - Maria L Chernavina
- Saratov State University, Research-Educational Institute of Optics and Biophotonics, Saratov, Russia
| | - Elina A Genina
- Saratov State University, Research-Educational Institute of Optics and Biophotonics, Saratov, Russia
- Tomsk State University, Interdisciplinary Laboratory of Biophotonics, Tomsk, Russia
| | - Vadim D Genin
- Saratov State University, Research-Educational Institute of Optics and Biophotonics, Saratov, Russia
| | - Vyacheslav I Kochubey
- Saratov State University, Research-Educational Institute of Optics and Biophotonics, Saratov, Russia
- Tomsk State University, Interdisciplinary Laboratory of Biophotonics, Tomsk, Russia
| | - Ekaterina N Lazareva
- Saratov State University, Research-Educational Institute of Optics and Biophotonics, Saratov, Russia
- Tomsk State University, Interdisciplinary Laboratory of Biophotonics, Tomsk, Russia
- Immanuel Kant Baltic Federal University, Center for Functionalized Magnetic Materials, Kaliningrad, Russia
| | - Alexander B Pravdin
- Saratov State University, Research-Educational Institute of Optics and Biophotonics, Saratov, Russia
| | - Marina E Shvachkina
- Saratov State University, Research-Educational Institute of Optics and Biophotonics, Saratov, Russia
| | - Polina A Timoshina
- Saratov State University, Research-Educational Institute of Optics and Biophotonics, Saratov, Russia
- Tomsk State University, Interdisciplinary Laboratory of Biophotonics, Tomsk, Russia
| | - Daria K Tuchina
- Saratov State University, Research-Educational Institute of Optics and Biophotonics, Saratov, Russia
- Tomsk State University, Interdisciplinary Laboratory of Biophotonics, Tomsk, Russia
- Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia
| | - Dmitry D Yakovlev
- Saratov State University, Research-Educational Institute of Optics and Biophotonics, Saratov, Russia
| | - Dmitry A Yakovlev
- Saratov State University, Research-Educational Institute of Optics and Biophotonics, Saratov, Russia
| | - Irina Yu Yanina
- Saratov State University, Research-Educational Institute of Optics and Biophotonics, Saratov, Russia
- Tomsk State University, Interdisciplinary Laboratory of Biophotonics, Tomsk, Russia
| | - Olga S Zhernovaya
- Saratov State University, Research-Educational Institute of Optics and Biophotonics, Saratov, Russia
| | - Valery V Tuchin
- Saratov State University, Research-Educational Institute of Optics and Biophotonics, Saratov, Russia
- Tomsk State University, Interdisciplinary Laboratory of Biophotonics, Tomsk, Russia
- Institute of Precision Mechanics and Control of the Russian Academy of Sciences, Saratov, Russia
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