1
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Sdobnov A, Tsytsarev V, Piavchenko G, Bykov A, Meglinski I. Beyond life: Exploring hemodynamic patterns in postmortem mice brains. JOURNAL OF BIOPHOTONICS 2024:e202400017. [PMID: 38714530 DOI: 10.1002/jbio.202400017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 03/14/2024] [Accepted: 04/09/2024] [Indexed: 05/10/2024]
Abstract
We utilize Laser Speckle Contrast Imaging (LSCI) for visualizing cerebral blood flow in mice during and post-cardiac arrest. Analyzing LSCI images, we noted temporal blood flow variations across the brain surface for hours postmortem. Fast Fourier Transform (FFT) analysis depicted blood flow and microcirculation decay post-death. Continuous Wavelet Transform (CWT) identified potential cerebral hemodynamic synchronization patterns. Additionally, non-negative matrix factorization (NMF) with four components segmented LSCI images, revealing structural subcomponent alterations over time. This integrated approach of LSCI, FFT, CWT, and NMF offers a comprehensive tool for studying cerebral blood flow dynamics, metaphorically capturing the 'end of the tunnel' experience. Results showed primary postmortem hemodynamic activity in the olfactory bulbs, followed by blood microflow relocations between somatosensory and visual cortical regions via the superior sagittal sinus. This method opens new avenues for exploring these phenomena, potentially linking neuroscientific insights with mysteries surrounding consciousness and perception at life's end.
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Affiliation(s)
- Anton Sdobnov
- Optoelectronics and Measurement Techniques, University of Oulu, Oulu, Finland
| | - Vassiliy Tsytsarev
- Department of Neurobiology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Gennadi Piavchenko
- Department of Human Anatomy and Histology, Institute of Clinical Medicine N.V. Sklifosovsky, I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Alexander Bykov
- Optoelectronics and Measurement Techniques, University of Oulu, Oulu, Finland
| | - Igor Meglinski
- Department of Human Anatomy and Histology, Institute of Clinical Medicine N.V. Sklifosovsky, I.M. Sechenov First Moscow State Medical University, Moscow, Russia
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2
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Tsytsarev V, Sopova JV, Leonova EI, Inyushin M, Markina AA, Chirinskaite AV, Volnova AB. Neurophotonic methods in approach to in vivo animal epileptic models: Advantages and limitations. Epilepsia 2024; 65:600-614. [PMID: 38115808 PMCID: PMC10948300 DOI: 10.1111/epi.17870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 12/16/2023] [Accepted: 12/18/2023] [Indexed: 12/21/2023]
Abstract
Neurophotonic technology is a rapidly growing group of techniques that are based on the interactions of light with natural or genetically modified cells of the neural system. New optical technologies make it possible to considerably extend the tools of neurophysiological research, from the visualization of functional activity changes to control of brain tissue excitability. This opens new perspectives for studying the mechanisms underlying the development of human neurological diseases. Epilepsy is one of the most common brain disorders; it is characterized by recurrent seizures and affects >1% of the world's population. However, how seizures occur, spread, and terminate in a healthy brain is still unclear. Therefore, it is extremely important to develop appropriate models to accurately explore the causal relationship of epileptic activity. The use of neurophotonic technologies in epilepsy research falls into two broad categories: the visualization of neural epileptic activity, and the direct optical influence on neurons to induce or suppress epileptic activity. An optogenetic variant of the classical kindling model of epileptic seizures, in which activatable cells are genetically defined, is called optokindling. Research is also underway concerning the application of neurophotonic techniques for suppressing epileptic activity, aiming to bring these methods into clinical practice. This review aims to systematize and describe new approaches that use combinations of different neurophotonic methods to work with in vivo models of epilepsy. These approaches overcome many of the shortcomings associated with classical animal models of epilepsy and thus increase the effectiveness of developing new diagnostic methods and antiepileptic therapy.
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Affiliation(s)
- Vassiliy Tsytsarev
- University of Maryland School of Medicine, Department of Neurobiology 20 Penn St, HSF-2, 21201 MD, Baltimore, United States
| | - Julia V. Sopova
- Center of Transgenesis and Genome Editing, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - Elena I. Leonova
- Center of Transgenesis and Genome Editing, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - Mikhail Inyushin
- School of Medicine, Universidad Central del Caribe, Bayamon, PR 00956, USA
| | - Alisa A. Markina
- Institute of Translational Biomedicine, Saint Petersburg State University, St. Petersburg 199034, Russia
| | - Angelina V. Chirinskaite
- Center of Transgenesis and Genome Editing, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - Anna B. Volnova
- Institute of Translational Biomedicine, Saint Petersburg State University, St. Petersburg 199034, Russia
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3
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Konovalov A, Grebenev F, Stavtsev D, Kozlov I, Gadjiagaev V, Piavchenko G, Telyshev D, Gerasimenko AY, Meglinski I, Zalogin S, Artemyev A, Golodnev G, Shumeiko T, Eliava S. Real-time laser speckle contrast imaging for intraoperative neurovascular blood flow assessment: animal experimental study. Sci Rep 2024; 14:1735. [PMID: 38242903 PMCID: PMC10799050 DOI: 10.1038/s41598-023-51022-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 12/29/2023] [Indexed: 01/21/2024] Open
Abstract
The use of various blood flow control methods in neurovascular interventions is crucial for reducing postoperative complications. Neurosurgeons worldwide use different methods, such as contact Dopplerography, intraoperative indocyanine videoangiography (ICG) video angiography, fluorescein angiography, flowmetry, intraoperative angiography, and direct angiography. However, there is no noninvasive method that can assess the presence of blood flow in the vessels of the brain without the introduction of fluorescent substances throughout the intervention. The real-time laser-speckle contrast imaging (LSCI) method was studied for its effectiveness in controlling blood flow in standard cerebrovascular surgery cases in rat common carotid arteries, such as proximal occlusion, trapping, reperfusion, anastomosis, and intraoperative vessel thrombosis. The real-time LSCI method is a promising method for use in neurosurgical practice. This approach allows timely diagnosis of intraoperative disturbance of blood flow in vessels in cases of clip occlusion or thrombosis. Additionally, LSCI allows us to reliably confirm the functioning of the anastomosis and reperfusion after removal of the clips and thrombolysis in real time. An unresolved limitation of the method is noise from movements, but this does not reduce the value of the method. Additional research is required to improve the quality of the data obtained.
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Affiliation(s)
- Anton Konovalov
- Burdenko Neurosurgшcal Center, Moscow, Russian Federation.
- Institute for Bionic Technologies and Engineering, I.M. Sechenov First Moscow State Medical University, Moscow, 119991, Russian Federation.
| | - Fyodor Grebenev
- Burdenko Neurosurgшcal Center, Moscow, Russian Federation
- Institute for Bionic Technologies and Engineering, I.M. Sechenov First Moscow State Medical University, Moscow, 119991, Russian Federation
| | - Dmitry Stavtsev
- Institute for Bionic Technologies and Engineering, I.M. Sechenov First Moscow State Medical University, Moscow, 119991, Russian Federation
- Institute of Biomedical Systems, National Research University of Electronic Technology, Zelenograd, Moscow, 124498, Russian Federation
| | - Igor Kozlov
- Institute for Bionic Technologies and Engineering, I.M. Sechenov First Moscow State Medical University, Moscow, 119991, Russian Federation
| | | | - Gennadii Piavchenko
- Department of Human Anatomy and Histology, I.M. Sechenov First Moscow State Medical University, Moscow, Russian Federation
| | - Dmitry Telyshev
- Institute for Bionic Technologies and Engineering, I.M. Sechenov First Moscow State Medical University, Moscow, 119991, Russian Federation
- Institute of Biomedical Systems, National Research University of Electronic Technology, Zelenograd, Moscow, 124498, Russian Federation
| | - Alexander Yu Gerasimenko
- Institute for Bionic Technologies and Engineering, I.M. Sechenov First Moscow State Medical University, Moscow, 119991, Russian Federation
- Institute of Biomedical Systems, National Research University of Electronic Technology, Zelenograd, Moscow, 124498, Russian Federation
| | - Igor Meglinski
- Department of Human Anatomy and Histology, I.M. Sechenov First Moscow State Medical University, Moscow, Russian Federation.
- College of Engineering and Physical Sciences, Aston University, Birmingham, UK.
| | - Savely Zalogin
- Department of Operative Surgery and Topographic Anatomy, I.M, Sechenov First Moscow State Medical University, Moscow, Russia
| | - Anton Artemyev
- Department of Operative Surgery and Topographic Anatomy, I.M, Sechenov First Moscow State Medical University, Moscow, Russia
| | - Grigorii Golodnev
- Department of Operative Surgery and Topographic Anatomy, I.M, Sechenov First Moscow State Medical University, Moscow, Russia
| | - Tatiana Shumeiko
- Department of Operative Surgery and Topographic Anatomy, I.M, Sechenov First Moscow State Medical University, Moscow, Russia
| | - Shalva Eliava
- Burdenko Neurosurgшcal Center, Moscow, Russian Federation
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4
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Qureshi MM, Allam N, Im J, Kwon HS, Chung E, Vitkin IA. Advances in laser speckle imaging: From qualitative to quantitative hemodynamic assessment. JOURNAL OF BIOPHOTONICS 2024; 17:e202300126. [PMID: 37545037 DOI: 10.1002/jbio.202300126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 07/03/2023] [Accepted: 07/27/2023] [Indexed: 08/08/2023]
Abstract
Laser speckle imaging (LSI) techniques have emerged as a promising method for visualizing functional blood vessels and tissue perfusion by analyzing the speckle patterns generated by coherent light interacting with living biological tissue. These patterns carry important biophysical tissue information including blood flow dynamics. The noninvasive, label-free, and wide-field attributes along with relatively simple instrumental schematics make it an appealing imaging modality in preclinical and clinical applications. The review outlines the fundamentals of speckle physics and the three categories of LSI techniques based on their degree of quantification: qualitative, semi-quantitative and quantitative. Qualitative LSI produces microvascular maps by capturing speckle contrast variations between blood vessels containing moving red blood cells and the surrounding static tissue. Semi-quantitative techniques provide a more accurate analysis of blood flow dynamics by accounting for the effect of static scattering on spatiotemporal parameters. Quantitative LSI such as optical speckle image velocimetry provides quantitative flow velocity measurements, which is inspired by the particle image velocimetry in fluid mechanics. Additionally, discussions regarding the prospects of future innovations in LSI techniques for optimizing the vascular flow quantification with associated clinical outlook are presented.
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Affiliation(s)
- Muhammad Mohsin Qureshi
- Division of Biophysics and Bioimaging, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Nader Allam
- Division of Biophysics and Bioimaging, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Jeongmyo Im
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - Hyuk-Sang Kwon
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - Euiheon Chung
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
- AI Graduate School, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - I Alex Vitkin
- Division of Biophysics and Bioimaging, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
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5
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He S, Wang X, Ma K, Li L, Zhang Y. Recursion-driven bispectral imaging for dynamic scattering scenes. OPTICS LETTERS 2023; 48:287-290. [PMID: 36638439 DOI: 10.1364/ol.479873] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 12/03/2022] [Indexed: 06/17/2023]
Abstract
Imaging dynamic strongly scattering scenes remains a significant challenge because it is typically believed that moving objects and dynamic media provide huge barriers. Instead, we use the dynamics of objects and media and put forward a recursion-driven bispectral imaging (ReDBI) framework here for the reconstruction of a stationary or moving object hidden behind the dynamic media. ReDBI avoids the errors introduced by speckle modulation and phase-retrieval algorithms in the existing studies. We also quantitatively assess the reconstruction difficulty of character and shape objects with the benchmark of the minimum number of speckle images (MNSI) required to achieve a high-quality reconstruction, which can help to comprehend the media's transfer properties.
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Yang N, Liu F, Zhang X, Chen C, Xia Z, Fu S, Wang J, Xu J, Cui S, Zhang Y, Yi M, Wan Y, Li Q, Xu S. A Hybrid Titanium-Softmaterial, High-Strength, Transparent Cranial Window for Transcranial Injection and Neuroimaging. BIOSENSORS 2022; 12:bios12020129. [PMID: 35200389 PMCID: PMC8870569 DOI: 10.3390/bios12020129] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 02/12/2022] [Accepted: 02/15/2022] [Indexed: 05/04/2023]
Abstract
A transparent and penetrable cranial window is essential for neuroimaging, transcranial injection and comprehensive understanding of cortical functions. For these applications, cranial windows made from glass coverslip, polydimethylsiloxane (PDMS), polymethylmethacrylate, crystal and silicone hydrogel have offered remarkable convenience. However, there is a lack of high-strength, high-transparency, penetrable cranial window with clinical application potential. We engineer high-strength hybrid Titanium-PDMS (Ti-PDMS) cranial windows, which allow large transparent area for in vivo two-photon imaging, and provide a soft window for transcranial injection. Laser scanning and 3D printing techniques are used to match the hybrid cranial window to different skull morphology. A multi-cycle degassing pouring process ensures a good combination of PDMS and Ti frame. Ti-PDMS cranial windows have a high fracture strength matching human skull bone, excellent light transmittance up to 94.4%, and refractive index close to biological tissue. Ti-PDMS cranial windows show excellent bio-compatibility during 21-week implantation in mice. Dye injection shows that the PDMS window has a "self-sealing" to keep liquid from leaking out. Two-photon imaging for brain tissues could be achieved up to 450 µm in z-depth. As a novel brain-computer-interface, this Ti-PDMS device offers an alternative choice for in vivo drug delivery, optical experiments, ultrasonic treatment and electrophysiology recording.
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Affiliation(s)
- Nana Yang
- Key Laboratory for the Physics & Chemistry of Nanodevices, Department of Electronics, Peking University, Beijing 100871, China; (N.Y.); (J.X.)
| | - Fengyu Liu
- Neuroscience Research Institute, Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing 100191, China; (C.C.); (S.F.); (J.W.); (S.C.); (Y.Z.); (M.Y.); (Y.W.)
- Key Laboratory for Neuroscience, Ministry of Education/National Health Commission, Peking University, Beijing 100191, China
- Correspondence: (F.L.); (S.X.)
| | - Xinyue Zhang
- Center of Digital Dentistry, Peking University School and Hospital of Stomatology, Beijing 100081, China; (X.Z.); (Q.L.)
- National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing 100081, China
| | - Chenni Chen
- Neuroscience Research Institute, Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing 100191, China; (C.C.); (S.F.); (J.W.); (S.C.); (Y.Z.); (M.Y.); (Y.W.)
- Key Laboratory for Neuroscience, Ministry of Education/National Health Commission, Peking University, Beijing 100191, China
| | - Zhiyuan Xia
- Department of Material Science and Engineering, College of Engineering, Peking University, Beijing 100871, China;
| | - Su Fu
- Neuroscience Research Institute, Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing 100191, China; (C.C.); (S.F.); (J.W.); (S.C.); (Y.Z.); (M.Y.); (Y.W.)
- Key Laboratory for Neuroscience, Ministry of Education/National Health Commission, Peking University, Beijing 100191, China
| | - Jiaxin Wang
- Neuroscience Research Institute, Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing 100191, China; (C.C.); (S.F.); (J.W.); (S.C.); (Y.Z.); (M.Y.); (Y.W.)
- Key Laboratory for Neuroscience, Ministry of Education/National Health Commission, Peking University, Beijing 100191, China
| | - Jingjing Xu
- Key Laboratory for the Physics & Chemistry of Nanodevices, Department of Electronics, Peking University, Beijing 100871, China; (N.Y.); (J.X.)
- School of Microelectronics, Shandong University, Jinan 250100, China
| | - Shuang Cui
- Neuroscience Research Institute, Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing 100191, China; (C.C.); (S.F.); (J.W.); (S.C.); (Y.Z.); (M.Y.); (Y.W.)
- Key Laboratory for Neuroscience, Ministry of Education/National Health Commission, Peking University, Beijing 100191, China
| | - Yong Zhang
- Neuroscience Research Institute, Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing 100191, China; (C.C.); (S.F.); (J.W.); (S.C.); (Y.Z.); (M.Y.); (Y.W.)
- Key Laboratory for Neuroscience, Ministry of Education/National Health Commission, Peking University, Beijing 100191, China
| | - Ming Yi
- Neuroscience Research Institute, Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing 100191, China; (C.C.); (S.F.); (J.W.); (S.C.); (Y.Z.); (M.Y.); (Y.W.)
- Key Laboratory for Neuroscience, Ministry of Education/National Health Commission, Peking University, Beijing 100191, China
| | - You Wan
- Neuroscience Research Institute, Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing 100191, China; (C.C.); (S.F.); (J.W.); (S.C.); (Y.Z.); (M.Y.); (Y.W.)
- Key Laboratory for Neuroscience, Ministry of Education/National Health Commission, Peking University, Beijing 100191, China
| | - Qing Li
- Center of Digital Dentistry, Peking University School and Hospital of Stomatology, Beijing 100081, China; (X.Z.); (Q.L.)
- National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing 100081, China
| | - Shengyong Xu
- Key Laboratory for the Physics & Chemistry of Nanodevices, Department of Electronics, Peking University, Beijing 100871, China; (N.Y.); (J.X.)
- Correspondence: (F.L.); (S.X.)
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7
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Piavchenko G, Kozlov I, Dremin V, Stavtsev D, Seryogina E, Kandurova K, Shupletsov V, Lapin K, Alekseyev A, Kuznetsov S, Bykov A, Dunaev A, Meglinski I. Impairments of cerebral blood flow microcirculation in rats brought on by cardiac cessation and respiratory arrest. JOURNAL OF BIOPHOTONICS 2021; 14:e202100216. [PMID: 34534405 DOI: 10.1002/jbio.202100216] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 09/06/2021] [Accepted: 09/09/2021] [Indexed: 05/21/2023]
Abstract
The impairments of cerebral blood flow microcirculation brought on by cardiac and respiratory arrest were assessed with multi-modal diagnostic facilities, utilising laser speckle contrast imaging, fluorescence spectroscopy and diffuse reflectance spectroscopy. The results of laser speckle contrast imaging show a notable reduction of cerebral blood flow in small and medium size vessels during a few minutes of respiratory arrest, while the same effect was observed in large sinuses and their branches during the circulatory cessation. Concurrently, the redox ratio assessed with fluorescence spectroscopy indicates progressing hypoxia, NADH accumulation and increase of FAD consumption. The results of diffuse reflectance spectra measurements display a more rapid grow of the perfusion of deoxygenated blood in case of circulatory impairment. In addition, consequent histopathological analysis performed by using new tissue staining procedure developed in-house. It shows notably higher reduction of size of the neurons due to their wrinkling within brain tissues influenced by circulation impair. Whereas, the brain tissues altered with the respiratory arrest demonstrate focal perivascular oedema and mild hypoxic changes of neuronal morphology. Thus, the study suggests that consequences of a cessation of cerebral blood flow become more dramatic and dangerous compare to respiratory arrest.
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Affiliation(s)
- Gennadii Piavchenko
- Department of Histology, Cytology and Embryology, I.M. Sechenov First Moscow State Medical University, Moscow, Russia
- V.A. Negovsky Scientific Research Institute of General Reanimatology, Federal Research and Clinical Centre of Intensive Care Medicine and Rehabilitology, Moscow, Russia
- Cell Physiology and Pathology Laboratory, Orel State University, Orel, Russia
| | - Igor Kozlov
- R&D Center of Biomedical Photonics, Orel State University, Orel, Russia
| | - Viktor Dremin
- Cell Physiology and Pathology Laboratory, Orel State University, Orel, Russia
- R&D Center of Biomedical Photonics, Orel State University, Orel, Russia
- College of Engineering and Physical Sciences, Aston University, Birmingham, UK
| | - Dmitry Stavtsev
- R&D Center of Biomedical Photonics, Orel State University, Orel, Russia
- Institute of Biomedical Systems, National Research University of Electronic Technology (MIET), Zelenograd, Russia
| | - Evgeniya Seryogina
- Cell Physiology and Pathology Laboratory, Orel State University, Orel, Russia
| | - Ksenia Kandurova
- R&D Center of Biomedical Photonics, Orel State University, Orel, Russia
| | - Valery Shupletsov
- R&D Center of Biomedical Photonics, Orel State University, Orel, Russia
| | - Konstantin Lapin
- V.A. Negovsky Scientific Research Institute of General Reanimatology, Federal Research and Clinical Centre of Intensive Care Medicine and Rehabilitology, Moscow, Russia
| | - Alexander Alekseyev
- Cell Physiology and Pathology Laboratory, Orel State University, Orel, Russia
| | - Sergey Kuznetsov
- Department of Histology, Cytology and Embryology, I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Alexander Bykov
- Opto-Electronics and Measurement Techniques, Faculty of Information and Electrical Engineering, University of Oulu, Oulu, Finland
| | - Andrey Dunaev
- Cell Physiology and Pathology Laboratory, Orel State University, Orel, Russia
- R&D Center of Biomedical Photonics, Orel State University, Orel, Russia
| | - Igor Meglinski
- Department of Histology, Cytology and Embryology, I.M. Sechenov First Moscow State Medical University, Moscow, Russia
- V.A. Negovsky Scientific Research Institute of General Reanimatology, Federal Research and Clinical Centre of Intensive Care Medicine and Rehabilitology, Moscow, Russia
- Opto-Electronics and Measurement Techniques, Faculty of Information and Electrical Engineering, University of Oulu, Oulu, Finland
- Immanuel Kant Baltic Federal University, Kaliningrad, Russia
- College of Engineering and Physical Sciences, Aston University, Birmingham, UK
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8
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Zharkikh E, Dremin V, Zherebtsov E, Dunaev A, Meglinski I. Biophotonics methods for functional monitoring of complications of diabetes mellitus. JOURNAL OF BIOPHOTONICS 2020; 13:e202000203. [PMID: 32654427 DOI: 10.1002/jbio.202000203] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 07/02/2020] [Accepted: 07/04/2020] [Indexed: 06/11/2023]
Abstract
The prevalence of diabetes complications is a significant public health problem with a considerable economic cost. Thus, the timely diagnosis of complications and prevention of their development will contribute to increasing the length and quality of patient life, and reducing the economic costs of their treatment. This article aims to review the current state-of-the-art biophotonics technologies used to identify the complications of diabetes mellitus and assess the quality of their treatment. Additionally, these technologies assess the structural and functional properties of biological tissues, and they include capillaroscopy, laser Doppler flowmetry and hyperspectral imaging, laser speckle contrast imaging, diffuse reflectance spectroscopy and imaging, fluorescence spectroscopy and imaging, optical coherence tomography, optoacoustic imaging and confocal microscopy. Recent advances in the field of optical noninvasive diagnosis suggest a wider introduction of biophotonics technologies into clinical practice and, in particular, in diabetes care units.
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Affiliation(s)
- Elena Zharkikh
- Research & Development Center of Biomedical Photonics, Orel State University, Orel, Russia
| | - Viktor Dremin
- Research & Development Center of Biomedical Photonics, Orel State University, Orel, Russia
- School of Engineering and Applied Science, Aston University, Birmingham, UK
| | - Evgeny Zherebtsov
- Research & Development Center of Biomedical Photonics, Orel State University, Orel, Russia
- Optoelectronics and Measurement Techniques unit, University of Oulu, Oulu, Finland
| | - Andrey Dunaev
- Research & Development Center of Biomedical Photonics, Orel State University, Orel, Russia
| | - Igor Meglinski
- School of Engineering and Applied Science, Aston University, Birmingham, UK
- Optoelectronics and Measurement Techniques unit, University of Oulu, Oulu, Finland
- Interdisciplinary Laboratory of Biophotonics, National Research Tomsk State University, Tomsk, Russia
- Institute of Engineering Physics for Biomedicine (PhysBio), National Research Nuclear University-MEPhI, Moscow, Russia
- School of Life and Health Sciences, Aston University, Birmingham, UK
- Department of Histology, Cytology and Embryology, Institute of Clinical Medicine N.V. Sklifosovsky, I.M. Sechenov First Moscow State Medical University, Moscow, Russia
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Molodij G, Sdobnov A, Kuznetsov Y, Harmelin A, Meglinski I, Kalchenko V. Time-space Fourier κω' filter for motion artifacts compensation during transcranial fluorescence brain imaging. Phys Med Biol 2020; 65:075007. [PMID: 32053802 DOI: 10.1088/1361-6560/ab7631] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Intravital imaging of brain vasculature through the intact cranium in vivo is based on the evolution of the fluorescence intensity and provides an ability to characterize various physiological processes in the natural context of cellular resolution. The involuntary motions of the examined subjects often limit in vivo non-invasive functional optical imaging. Conventional imaging diagnostic modalities encounter serious difficulties in correction of artificial motions, associated with fast high dynamics of the intensity values in the collected image sequences, when a common reference cannot be provided. In the current report, we introduce an alternative solution based on a time-space Fourier transform method so-called K-Omega. We demonstrate that the proposed approach is effective for image stabilization of fast dynamic image sequences and can be used autonomously without supervision and assignation of a reference image.
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Affiliation(s)
- Guillaume Molodij
- Department of Veterinary Resources, Weizmann Institute of Science, Rehovot 76100, Israel
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10
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Semyachkina‐Glushkovskaya O, Abdurashitov A, Klimova M, Dubrovsky A, Shirokov A, Fomin A, Terskov A, Agranovich I, Mamedova A, Khorovodov A, Vinnik V, Blokhina I, Lezhnev N, Shareef AE, Kuzmina A, Sokolovski S, Tuchin V, Rafailov E, Kurths J. Photostimulation of cerebral and peripheral lymphatic functions. TRANSLATIONAL BIOPHOTONICS 2020. [DOI: 10.1002/tbio.201900036] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Affiliation(s)
| | | | | | | | - Alexander Shirokov
- Institute of Biochemistry and Physiology of Plants and Microorganisms, Russian Academy of Sciences Saratov Russia
| | - Alexander Fomin
- Institute of Biochemistry and Physiology of Plants and Microorganisms, Russian Academy of Sciences Saratov Russia
| | | | | | | | | | | | | | | | | | | | - Sergey Sokolovski
- Saratov State University Saratov Russia
- Optoelectronics and Biomedical Photonics GroupAston University Birmingham UK
| | - Valery Tuchin
- Saratov State University Saratov Russia
- Institute of Precision Mechanics and Control, Russian Academy of Science Saratov Russia
- Tomsk State University Tomsk Russia
| | - Edik Rafailov
- Saratov State University Saratov Russia
- Optoelectronics and Biomedical Photonics GroupAston University Birmingham UK
| | - Jurgen Kurths
- Saratov State University Saratov Russia
- Humboldt University Berlin Germany
- Institute of Climate Impact Research Potsdam Germany
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Iida T, Yamato H, Jin T, Nomura Y. Optimal focus evaluated using Monte Carlo simulation in non-invasive neuroimaging in the second near-infrared window. MethodsX 2019; 6:2367-2373. [PMID: 31660299 PMCID: PMC6807361 DOI: 10.1016/j.mex.2019.09.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Accepted: 09/09/2019] [Indexed: 11/26/2022] Open
Abstract
Adjusting the focal plane through the intact scalp of mice is crucial in novel angiography of cerebral vasculature using quantum dots emitting second near-infrared light at a wavelength of 1100 nm. Reagents were administered through the caudal vein. When we focused 0.4 mm below the scalp surface, based on the anatomical properties of mice reported previously, the intensity of clear fluorescence images observed transiently under a microscope became very weak within several seconds. The remaining time was extremely short to repeat adjustment of the focal plane. To investigate focus, photons exciting quantum dots at depths of 0.4, 0.8, 1.4, and 2.0 mm and emission photons were tracked in a four-layered Monte Carlo model including the scalp, skull, cerebrospinal fluid, and cortex. Based on the most near-ballistic photons emitted from quantum dots at 0.4 mm depth and specification of the microscope used, including numerical aperture and depth of field, the optimal focus plane was set. Novel angiography for cerebrovascular structures was proposed using quantum dots with second near-infrared fluorescence. Anatomical properties reported previously allowed focusing 0.4 mm below the surface of intact scalp before observation under fluorescence. Clear images of cerebrovascular structures were attributed to many near-ballistic photons emitted from quantum dots at 0.4 mm depth.
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Affiliation(s)
- Tatsuto Iida
- Department of Systems Life Engineering, Maebashi Institute of Technology, Maebashi, 371-0816, Japan
| | - Hiro Yamato
- Department of Systems Life Engineering, Maebashi Institute of Technology, Maebashi, 371-0816, Japan
| | - Takashi Jin
- Laboratory for Nano-Bio Probes, RIKEN Center for Biosystems Dynamics Research, Suita, 565-0874, Japan
| | - Yasutomo Nomura
- Department of Systems Life Engineering, Maebashi Institute of Technology, Maebashi, 371-0816, Japan.,Laboratory for Nano-Bio Probes, RIKEN Center for Biosystems Dynamics Research, Suita, 565-0874, Japan
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A Robust Method for Adjustment of Laser Speckle Contrast Imaging during Transcranial Mouse Brain Visualization. PHOTONICS 2019. [DOI: 10.3390/photonics6030080] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Laser speckle imaging (LSI) is a well-known and useful approach for the non-invasive visualization of flows and microcirculation localized in turbid scattering media, including biological tissues (such as brain vasculature, skin capillaries etc.). Despite an extensive use of LSI for brain imaging, the LSI technique has several critical limitations. One of them is associated with inability to resolve a functionality of vessels. This limitation also leads to the systematic error in the quantitative interpretation of values of speckle contrast obtained for different vessel types, such as sagittal sinus, arteries, and veins. Here, utilizing a combined use of LSI and fluorescent intravital microscopy (FIM), we present a simple and robust method to overcome the limitations mentioned above for the LSI approach. The proposed technique provides more relevant, abundant, and valuable information regarding perfusion rate ration between different types of vessels that makes this method highly useful for in vivo brain surgical operations.
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Cheng W, Zhu X, Chen X, Li M, Lu J, Li P. Manhattan Distance-Based Adaptive 3D Transform-Domain Collaborative Filtering for Laser Speckle Imaging of Blood Flow. IEEE TRANSACTIONS ON MEDICAL IMAGING 2019; 38:1726-1735. [PMID: 30714912 DOI: 10.1109/tmi.2019.2896007] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Laser speckle contrast imaging (LSCI) is a full-field, noncontact imaging technology for mapping blood flow with high spatio-temporal resolution, in which the speckle contrast can be estimated either in spatial domain or temporal domain. Temporal LSCI (tLSCI) provides higher spatial resolution than spatial domain does. However, when the number of sampling frames is limited, it is difficult to obtain accurate blood flow velocity owing to the significant statistical noise. The widely used spatially averaged tLSCI (savg-tLSCI) usually requires a large number of sampling frames to obtain acceptable denoising performance. Here, based on the nonlocal filtering strategy of block-matching and three-dimensional transform-domain collaborative filtering (BM3D), Manhattan distance-based adaptive BM3D (MD-ABM3D) is proposed to effectively manage the complicated inhomogeneous noise in tLSCI image and improve the signal-to-noise ratio. Manhattan distance improves the accuracy of the block matching in strong noise, and the adaptive algorithm adapts to the inhomogeneous noise and estimates suitable parameters for improved denoising. MD-ABM3D improves 4.91 dB in peak signal-to-noise ratio relative to savg-tLSCI. It achieves stability for denoising tLSCI image with different temporal windows. The image-quality evaluation of MD-ABM3D for tLSCI (t = 20 frames) equals that of savg-tLSCI (t = 60 frames). It achieves high signal-to-noise ratio with a reduced number of sampling frames. A reduced number of sampling frames are more practical for biomedical applications. It also offers higher temporal resolution and less disturbance from the motion of the moving object.
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14
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Tsytsarev V, Akkentli F, Pumbo E, Tang Q, Chen Y, Erzurumlu RS, Papkovsky DB. Planar implantable sensor for in vivo measurement of cellular oxygen metabolism in brain tissue. J Neurosci Methods 2017; 281:1-6. [PMID: 28219725 DOI: 10.1016/j.jneumeth.2017.02.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2016] [Revised: 01/13/2017] [Accepted: 02/15/2017] [Indexed: 10/20/2022]
Abstract
BACKGROUND Brain imaging methods are continually improving. Imaging of the cerebral cortex is widely used in both animal experiments and charting human brain function in health and disease. Among the animal models, the rodent cerebral cortex has been widely used because of patterned neural representation of the whiskers on the snout and relative ease of activating cortical tissue with whisker stimulation. NEW METHOD We tested a new planar solid-state oxygen sensor comprising a polymeric film with a phosphorescent oxygen-sensitive coating on the working side, to monitor dynamics of oxygen metabolism in the cerebral cortex following sensory stimulation. RESULTS Sensory stimulation led to changes in oxygenation and deoxygenation processes of activated areas in the barrel cortex. We demonstrate the possibility of dynamic mapping of relative changes in oxygenation in live mouse brain tissue with such a sensor. COMPARISON WITH EXISTING METHOD Oxygenation-based functional magnetic resonance imaging (fMRI) is very effective method for functional brain mapping but have high costs and limited spatial resolution. Optical imaging of intrinsic signal (IOS) does not provide the required sensitivity, and voltage-sensitive dye optical imaging (VSDi) has limited applicability due to significant toxicity of the voltage-sensitive dye. Our planar solid-state oxygen sensor imaging approach circumvents these limitations, providing a simple optical contrast agent with low toxicity and rapid application. CONCLUSIONS The planar solid-state oxygen sensor described here can be used as a tool in visualization and real-time analysis of sensory-evoked neural activity in vivo. Further, this approach allows visualization of local neural activity with high temporal and spatial resolution.
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Affiliation(s)
- Vassiliy Tsytsarev
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, 20 Penn Street, HSF-2, 21201 MD, Baltimore, USA.
| | - Fatih Akkentli
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, 20 Penn Street, HSF-2, 21201 MD, Baltimore, USA.
| | - Elena Pumbo
- Center for Genetic Medicine, Children's National Medical Center, Washington DC, 111 Michigan Avenue, NW Washington, DC 20010, USA.
| | - Qinggong Tang
- Fischell Department of Bioengineering, University of Maryland, College Park, Kim Engineering Building, College Park, MD 20740, USA.
| | - Yu Chen
- Fischell Department of Bioengineering, University of Maryland, College Park, Kim Engineering Building, College Park, MD 20740, USA.
| | - Reha S Erzurumlu
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, 20 Penn Street, HSF-2, 21201 MD, Baltimore, USA.
| | - Dmitri B Papkovsky
- School of Biochemistry and Cell Biology, University College Cork, Cavanagh Pharmacy Building 1.28, College Road, Cork, Ireland.
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15
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Krafft C. Modern trends in biophotonics for clinical diagnosis and therapy to solve unmet clinical needs. JOURNAL OF BIOPHOTONICS 2016; 9:1362-1375. [PMID: 27943650 DOI: 10.1002/jbio.201600290] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2016] [Accepted: 11/16/2016] [Indexed: 06/06/2023]
Abstract
This contribution covers recent original research papers in the biophotonics field. The content is organized into main techniques such as multiphoton microscopy, Raman spectroscopy, infrared spectroscopy, optical coherence tomography and photoacoustic tomography, and their applications in the context of fluid, cell, tissue and skin diagnostics. Special attention is paid to vascular and blood flow diagnostics, photothermal and photodynamic therapy, tissue therapy, cell characterization, and biosensors for biomarker detection.
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Affiliation(s)
- Christoph Krafft
- Leibniz Institute of Photonic Technology, Albert-Einstein-Str. 9, 07745, Jena, Germany
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Yang X, Zhang Y, Zhao K, Zhao Y, Liu Y, Gong H, Luo Q, Zhu D. Skull Optical Clearing Solution for Enhancing Ultrasonic and Photoacoustic Imaging. IEEE TRANSACTIONS ON MEDICAL IMAGING 2016; 35:1903-6. [PMID: 26886977 DOI: 10.1109/tmi.2016.2528284] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
The performance of photoacoustic microscopy (PAM) degrades due to the turbidity of the skull that introduces attenuation and distortion of both laser and stimulated ultrasound. In this manuscript, we demonstrated that a newly developed skull optical clearing solution (SOCS) could enhance not only the transmittance of light, but also that of ultrasound in the skull in vitro. Thus the photoacoustic signal was effectively elevated, and the relative strength of the artifacts induced by the skull could be suppressed. Furthermore in vivo studies demonstrated that SOCS could drastically enhance the performance of photoacoustic microscopy for cerebral microvasculature imaging.
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Tsytsarev V, Pumbo E, Tang Q, Chen CW, Kalchenko V, Chen Y. Study of the cortical representation of whisker frequency selectivity using voltage-sensitive dye optical imaging. INTRAVITAL 2016; 5:e1142637. [PMID: 28243518 DOI: 10.1080/21659087.2016.1142637] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2015] [Revised: 01/06/2016] [Accepted: 01/08/2016] [Indexed: 12/17/2022]
Abstract
The facial whiskers of rodents act as a high-resolution tactile apparatus that allow the animal to detect the finest details of its environment. Previously it was shown that whisker-sensitive neurons in the somatosensory cortex show frequency selectivity to small amplitude stimuli, An intravital voltage-sensitive dye optical imaging (VSDi) method in combination with the different frequency whisker stimulation was used in order to visualize neural activity in the mice somatosensory cortex in response to the stimulation of a single whisker by different frequencies. Using the intravital voltage-sensitive dye optical imaging (VSDi) method in combination with the different frequency whisker stimulation we visualized neural activity in the mice somatosensory cortex in response to the stimulation of a single whisker by different frequencies. We found that whisker stimuli with different frequencies led to different optical signals in the barrel field. Our results provide evidence that different neurons of the barrel cortex have different frequency preferences. This supports prior research that whisker deflections cause responses in cortical neurons within the barrel field according to the frequency of the stimulation. Many studies of the whisker frequency selectivity were performed using unit recording but to map spatial organization, imaging methods are essential. In the work described in the present paper, we take a serious step toward detailed functional mapping of the somatosensory cortex using VSDi. To our knowledge, this is the first demonstration of whisker frequency sensitivity and selectivity of barrel cortex neurons with optical imaging methods.
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Affiliation(s)
- Vassiliy Tsytsarev
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine , Baltimore, MD, USA
| | - Elena Pumbo
- Center for Genetic Medicine, Children's National Medical Center , Washington, DC, USA
| | - Qinggong Tang
- Department of Bioengineering, University of Maryland , College Park, MD, USA
| | - Chao-Wei Chen
- Department of Bioengineering, University of Maryland , College Park, MD, USA
| | - Vyacheslav Kalchenko
- Department of Veterinary Resources, Weizmann Institute of Science , Rehovot, Israel
| | - Yu Chen
- Department of Bioengineering, University of Maryland , College Park, MD, USA
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