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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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2
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Semyachkina-Glushkovskaya O, Fedosov I, Zaikin A, Ageev V, Ilyukov E, Myagkov D, Tuktarov D, Blokhina I, Shirokov A, Terskov A, Zlatogorskaya D, Adushkina V, Evsukova A, Dubrovsky A, Tsoy M, Telnova V, Manzhaeva M, Dmitrenko A, Krupnova V, Kurths J. Technology of the photobiostimulation of the brain's drainage system during sleep for improvement of learning and memory in male mice. BIOMEDICAL OPTICS EXPRESS 2024; 15:44-58. [PMID: 38223185 PMCID: PMC10783921 DOI: 10.1364/boe.505618] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 11/17/2023] [Accepted: 11/20/2023] [Indexed: 01/16/2024]
Abstract
In this study on healthy male mice using confocal imaging of dye spreading in the brain and its further accumulation in the peripheral lymphatics, we demonstrate stronger effects of photobiomodulation (PBM) on the brain's drainage system in sleeping vs. awake animals. Using the Pavlovian instrumental transfer probe and the 2-objects-location test, we found that the 10-day course of PBM during sleep vs. wakefulness promotes improved learning and spatial memory in mice. For the first time, we present the technology for PBM under electroencephalographic (EEG) control that incorporates modern state of the art facilities of optoelectronics and biopotential detection and that can be built of relatively cheap and commercially available components. These findings open a new niche in the development of smart technologies for phototherapy of brain diseases during sleep.
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Affiliation(s)
- Oxana Semyachkina-Glushkovskaya
- Department of Biology, Saratov State University, Astrakhanskaya Str. 83, 410012 Saratov, Russia
- Physics Department, Humboldt University, Newtonstrasse 15, 12489 Berlin, Germany
| | - Ivan Fedosov
- Institute of Physics, Saratov State University Astrakhanskaya Str. 83, 410012 Saratov, Russia
| | - Alexey Zaikin
- Department of Mathematics and Institute for Women's Health, University College London, 25 Gordon Street, London, WC1H 0AY, UK
- Centre for Analysis of Complex Systems, Sechenov First Moscow State Medical University, Bolshaya Pirogovskaya 2, building 4, 119435 Moscow, Russia
- Institute for Cognitive Neuroscience, University Higher School of Economics, Moscow, Russia
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
| | - Vasily Ageev
- Institute of Physics, Saratov State University Astrakhanskaya Str. 83, 410012 Saratov, Russia
| | - Egor Ilyukov
- Institute of Physics, Saratov State University Astrakhanskaya Str. 83, 410012 Saratov, Russia
| | - Dmitry Myagkov
- Institute of Physics, Saratov State University Astrakhanskaya Str. 83, 410012 Saratov, Russia
| | - Dmitry Tuktarov
- Institute of Physics, Saratov State University Astrakhanskaya Str. 83, 410012 Saratov, Russia
| | - Inna Blokhina
- Department of Biology, Saratov State University, Astrakhanskaya Str. 83, 410012 Saratov, Russia
| | - Alexander Shirokov
- Department of Biology, Saratov State University, Astrakhanskaya Str. 83, 410012 Saratov, Russia
- Institute of Biochemistry and Physiology of Plants and Microorganisms, Russian Academy of Sciences, Prospekt Entuziastov 13, Saratov 410049, Russia
| | - Andrey Terskov
- Department of Biology, Saratov State University, Astrakhanskaya Str. 83, 410012 Saratov, Russia
| | - Daria Zlatogorskaya
- Department of Biology, Saratov State University, Astrakhanskaya Str. 83, 410012 Saratov, Russia
| | - Viktoria Adushkina
- Department of Biology, Saratov State University, Astrakhanskaya Str. 83, 410012 Saratov, Russia
| | - Arina Evsukova
- Department of Biology, Saratov State University, Astrakhanskaya Str. 83, 410012 Saratov, Russia
| | - Alexander Dubrovsky
- Institute of Physics, Saratov State University Astrakhanskaya Str. 83, 410012 Saratov, Russia
| | - Maria Tsoy
- Institute of Physics, Saratov State University Astrakhanskaya Str. 83, 410012 Saratov, Russia
| | - Valeria Telnova
- Department of Biology, Saratov State University, Astrakhanskaya Str. 83, 410012 Saratov, Russia
| | - Maria Manzhaeva
- Department of Biology, Saratov State University, Astrakhanskaya Str. 83, 410012 Saratov, Russia
| | - Alexander Dmitrenko
- Department of Biology, Saratov State University, Astrakhanskaya Str. 83, 410012 Saratov, Russia
| | - Valeria Krupnova
- Department of Biology, Saratov State University, Astrakhanskaya Str. 83, 410012 Saratov, Russia
| | - Jürgen Kurths
- Department of Biology, Saratov State University, Astrakhanskaya Str. 83, 410012 Saratov, Russia
- Physics Department, Humboldt University, Newtonstrasse 15, 12489 Berlin, Germany
- Centre for Analysis of Complex Systems, Sechenov First Moscow State Medical University, Bolshaya Pirogovskaya 2, building 4, 119435 Moscow, Russia
- Potsdam Institute for Climate Impact Research, Telegrafenberg A31, 14473 Potsdam, Germany
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3
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Zherebtsov E, Kozlov I, Dremin V, Bykov A, Dunaev A, Meglinski I. Diagnosis of Skin Vascular Complications Revealed by Time-Frequency Analysis and Laser Doppler Spectrum Decomposition. IEEE Trans Biomed Eng 2023; 70:3-14. [PMID: 35679373 DOI: 10.1109/tbme.2022.3181126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Nowadays, photonics-based techniques are used extensively in various applications, including functional clinical diagnosis, progress monitoring in treatment, and provision of metrological control. In fact, in the frame of practical implementation of optical methods, such as laser Doppler flowmetry (LDF), the qualitative interpretation and quantitative assessment of the detected signal remains vital and urgently required. In the conventional LDF approach, the key measured parameters, index of microcirculation and perfusion rate, are proportional to an averaged concentration of red blood cells (RBC) and their average velocity within a diagnostic volume. These quantities compose mixed signals from different vascular beds with a range of blood flow velocities and are typically expressed in relative units. In the current paper we introduce a new signal processing approach for the decomposition of LDF power spectra in terms of ranging blood flow distribution by frequency series. The developed approach was validated in standard occlusion tests conducted on healthy volunteers, and applied to investigate the influence of local pressure rendered by a probe on the surface of the skin. Finally, in limited clinical trials, we demonstrate that the approach can significantly improve the diagnostic accuracy of detection of microvascular changes in the skin of the feet in patients with Diabetes Mellitus type 2, as well as age-specific changes. The results obtained show that the developed approach of LDF signal decomposition provides essential new information about blood flow and blood microcirculation and has great potential in the diagnosis of vascular complications associated with various diseases.
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Russell PS, Velivolu R, Maldonado Zimbrón VE, Hong J, Kavianinia I, Hickey AJR, Windsor JA, Phillips ARJ. Fluorescent Tracers for In Vivo Imaging of Lymphatic Targets. Front Pharmacol 2022; 13:952581. [PMID: 35935839 PMCID: PMC9355481 DOI: 10.3389/fphar.2022.952581] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 06/16/2022] [Indexed: 11/13/2022] Open
Abstract
The lymphatic system continues to gain importance in a range of conditions, and therefore, imaging of lymphatic vessels is becoming more widespread for research, diagnosis, and treatment. Fluorescent lymphatic imaging offers advantages over other methods in that it is affordable, has higher resolution, and does not require radiation exposure. However, because the lymphatic system is a one-way drainage system, the successful delivery of fluorescent tracers to lymphatic vessels represents a unique challenge. Each fluorescent tracer used for lymphatic imaging has distinct characteristics, including size, shape, charge, weight, conjugates, excitation/emission wavelength, stability, and quantum yield. These characteristics in combination with the properties of the target tissue affect the uptake of the dye into lymphatic vessels and the fluorescence quality. Here, we review the characteristics of visible wavelength and near-infrared fluorescent tracers used for in vivo lymphatic imaging and describe the various techniques used to specifically target them to lymphatic vessels for high-quality lymphatic imaging in both clinical and pre-clinical applications. We also discuss potential areas of future research to improve the lymphatic fluorescent tracer design.
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Affiliation(s)
- P. S. Russell
- Applied Surgery and Metabolism Laboratory, School of Biological Sciences, Faculty of Science, University of Auckland, Auckland, New Zealand
- Surgical and Translational Research Centre, Department of Surgery, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - R. Velivolu
- Applied Surgery and Metabolism Laboratory, School of Biological Sciences, Faculty of Science, University of Auckland, Auckland, New Zealand
- Surgical and Translational Research Centre, Department of Surgery, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - V. E. Maldonado Zimbrón
- Applied Surgery and Metabolism Laboratory, School of Biological Sciences, Faculty of Science, University of Auckland, Auckland, New Zealand
- Surgical and Translational Research Centre, Department of Surgery, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - J. Hong
- Applied Surgery and Metabolism Laboratory, School of Biological Sciences, Faculty of Science, University of Auckland, Auckland, New Zealand
- Surgical and Translational Research Centre, Department of Surgery, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
- Maurice Wilkins Centre for Molecular Biodiscovery, School of Biological Sciences, Faculty of Science, The University of Auckland, Auckland, New Zealand
| | - I. Kavianinia
- Maurice Wilkins Centre for Molecular Biodiscovery, School of Biological Sciences, Faculty of Science, The University of Auckland, Auckland, New Zealand
- School of Chemical Sciences, Faculty of Science, The University of Auckland, Auckland, New Zealand
| | - A. J. R. Hickey
- Applied Surgery and Metabolism Laboratory, School of Biological Sciences, Faculty of Science, University of Auckland, Auckland, New Zealand
- Maurice Wilkins Centre for Molecular Biodiscovery, School of Biological Sciences, Faculty of Science, The University of Auckland, Auckland, New Zealand
| | - J. A. Windsor
- Surgical and Translational Research Centre, Department of Surgery, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
- Maurice Wilkins Centre for Molecular Biodiscovery, School of Biological Sciences, Faculty of Science, The University of Auckland, Auckland, New Zealand
| | - A. R. J. Phillips
- Applied Surgery and Metabolism Laboratory, School of Biological Sciences, Faculty of Science, University of Auckland, Auckland, New Zealand
- Surgical and Translational Research Centre, Department of Surgery, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
- Maurice Wilkins Centre for Molecular Biodiscovery, School of Biological Sciences, Faculty of Science, The University of Auckland, Auckland, New Zealand
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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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Ye F, Yin S, Li M, Li Y, Zhong J. In-vivo full-field measurement of microcirculatory blood flow velocity based on intelligent object identification. JOURNAL OF BIOMEDICAL OPTICS 2020; 25:1-11. [PMID: 31970945 PMCID: PMC6975132 DOI: 10.1117/1.jbo.25.1.016003] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Accepted: 12/30/2019] [Indexed: 05/09/2023]
Abstract
Microcirculation plays a crucial role in delivering oxygen and nutrients to living tissues and in removing metabolic wastes from the human body. Monitoring the velocity of blood flow in microcirculation is essential for assessing various diseases, such as diabetes, cancer, and critical illnesses. Because of the complex morphological pattern of the capillaries, both In-vivo capillary identification and blood flow velocity measurement by conventional optical capillaroscopy are challenging. Thus, we focused on developing an In-vivo optical microscope for capillary imaging, and we propose an In-vivo full-field flow velocity measurement method based on intelligent object identification. The proposed method realizes full-field blood flow velocity measurements in microcirculation by employing a deep neural network to automatically identify and distinguish capillaries from images. In addition, a spatiotemporal diagram analysis is used for flow velocity calculation. In-vivo experiments were conducted, and the images and videos of capillaries were collected for analysis. We demonstrated that the proposed method is highly accurate in performing full-field blood flow velocity measurements in microcirculation. Further, because this method is simple and inexpensive, it can be effectively employed in clinics.
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Affiliation(s)
- Fei Ye
- Jinan University, Department of Optoelectronic Engineering, Guangzhou, China
| | - Songchao Yin
- Sun Yat-sen University, Third Affiliated Hospital, Department of Dermatology, Guangzhou, China
| | - Meirong Li
- Sun Yat-sen University, Third Affiliated Hospital, Department of Dermatology, Guangzhou, China
| | - Yujie Li
- Sun Yat-sen University, Sixth Affiliated Hospital, Reproductive Medicine Center, Guangzhou, China
| | - Jingang Zhong
- Jinan University, Department of Optoelectronic Engineering, Guangzhou, China
- Address all correspondence to Jingang Zhong, E-mail:
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7
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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: 8] [Impact Index Per Article: 1.6] [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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Kalchenko V, Meglinski I, Sdobnov A, Kuznetsov Y, Harmelin A. Combined laser speckle imaging and fluorescent intravital microscopy for monitoring acute vascular permeability reaction. JOURNAL OF BIOMEDICAL OPTICS 2019; 24:1-4. [PMID: 31152505 PMCID: PMC6977011 DOI: 10.1117/1.jbo.24.6.060501] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Accepted: 04/11/2019] [Indexed: 05/15/2023]
Abstract
Optical clearing agents (OCAs) and many chemicals are widely used in functional diagnosis of skin tissues. Numerous studies are associated with the transcutaneous diffusion of OCA in epidermal, dermal, and hypodermal tissues, which results in changing their optical properties. In addition, an objective approach that is suitable for screening the influence of utilized OCA, as well as various chemical agents, synthetics, and nanomaterials, on blood and lymph flows is highly desirable. In our study, a highly sensitive laser speckle imaging (LSI) system and fluorescent intravital microscopy (FIM) were used team-wise to inspect the acute skin vascular permeability reaction in mouse ear during the local application of OCA on the skin surface. Fluorescent contrast material administrated intravenously was used for quantitatively assessing the intensity of vascular permeability reaction and the strength of skin irritation. The obtained results suggest that a combined use of LSI and FIM is highly effective for monitoring the cutaneous vascular permeability reaction, with great potential for assessment of allergic reactions of skin in response to interactions with chemical substances.
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Affiliation(s)
- Vyacheslav Kalchenko
- Weizmann Institute of Science, Department of Veterinary Resources, Rehovot, Israel
- Address all correspondence to Vyacheslav Kalchenko, E-mail:
| | - Igor Meglinski
- University of Oulu, Optoelectronics and Measurement Techniques Laboratory, Oulu, Finland
- National Research Nuclear University MEPhI, Institute of Engineering Physics for Biomedicine (PhysBio), Moscow, Russia
- National Research Tomsk State University, Interdisciplinary Laboratory of Biophotonics, Tomsk, Russia
| | - Anton Sdobnov
- University of Oulu, Optoelectronics and Measurement Techniques Laboratory, Oulu, Finland
| | - Yuri Kuznetsov
- Weizmann Institute of Science, Department of Veterinary Resources, Rehovot, Israel
| | - Alon Harmelin
- Weizmann Institute of Science, Department of Veterinary Resources, Rehovot, Israel
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Kananen J, Tuovinen T, Ansakorpi H, Rytky S, Helakari H, Huotari N, Raitamaa L, Raatikainen V, Rasila A, Borchardt V, Korhonen V, LeVan P, Nedergaard M, Kiviniemi V. Altered physiological brain variation in drug-resistant epilepsy. Brain Behav 2018; 8:e01090. [PMID: 30112813 PMCID: PMC6160661 DOI: 10.1002/brb3.1090] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Revised: 07/04/2018] [Accepted: 07/08/2018] [Indexed: 12/26/2022] Open
Abstract
INTRODUCTION Functional magnetic resonance imaging (fMRI) combined with simultaneous electroencephalography (EEG-fMRI) has become a major tool in mapping epilepsy sources. In the absence of detectable epileptiform activity, the resting state fMRI may still detect changes in the blood oxygen level-dependent signal, suggesting intrinsic alterations in the underlying brain physiology. METHODS In this study, we used coefficient of variation (CV) of critically sampled 10 Hz ultra-fast fMRI (magnetoencephalography, MREG) signal to compare physiological variance between healthy controls (n = 10) and patients (n = 10) with drug-resistant epilepsy (DRE). RESULTS We showed highly significant voxel-level (p < 0.01, TFCE-corrected) increase in the physiological variance in DRE patients. At individual level, the elevations range over three standard deviations (σ) above the control mean (μ) CVMREG values solely in DRE patients, enabling patient-specific mapping of elevated physiological variance. The most apparent differences in group-level analysis are found on white matter, brainstem, and cerebellum. Respiratory (0.12-0.4 Hz) and very-low-frequency (VLF = 0.009-0.1 Hz) signal variances were most affected. CONCLUSIONS The CVMREG increase was not explained by head motion or physiological cardiorespiratory activity, that is, it seems to be linked to intrinsic physiological pulsations. We suggest that intrinsic brain pulsations play a role in DRE and that critically sampled fMRI may provide a powerful tool for their identification.
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Affiliation(s)
- Janne Kananen
- Department of Diagnostic Radiology, Medical Research Center, Oulu University Hospital, Oulu, Finland.,Oulu Functional NeuroImaging-Group, Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland
| | - Timo Tuovinen
- Department of Diagnostic Radiology, Medical Research Center, Oulu University Hospital, Oulu, Finland.,Oulu Functional NeuroImaging-Group, Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland
| | - Hanna Ansakorpi
- Research Unit of Neuroscience, Neurology, University of Oulu, Oulu, Finland.,Department of Neurology and Medical Research Center Oulu, Oulu University Hospital, Oulu, Finland
| | - Seppo Rytky
- Department of Clinical Neurophysiology, Medical Research Center Oulu, Oulu University Hospital, Oulu, Finland
| | - Heta Helakari
- Department of Diagnostic Radiology, Medical Research Center, Oulu University Hospital, Oulu, Finland.,Oulu Functional NeuroImaging-Group, Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland
| | - Niko Huotari
- Department of Diagnostic Radiology, Medical Research Center, Oulu University Hospital, Oulu, Finland.,Oulu Functional NeuroImaging-Group, Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland
| | - Lauri Raitamaa
- Department of Diagnostic Radiology, Medical Research Center, Oulu University Hospital, Oulu, Finland.,Oulu Functional NeuroImaging-Group, Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland
| | - Ville Raatikainen
- Department of Diagnostic Radiology, Medical Research Center, Oulu University Hospital, Oulu, Finland.,Oulu Functional NeuroImaging-Group, Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland
| | - Aleksi Rasila
- Department of Diagnostic Radiology, Medical Research Center, Oulu University Hospital, Oulu, Finland.,Oulu Functional NeuroImaging-Group, Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland
| | - Viola Borchardt
- Department of Diagnostic Radiology, Medical Research Center, Oulu University Hospital, Oulu, Finland.,Oulu Functional NeuroImaging-Group, Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland
| | - Vesa Korhonen
- Department of Diagnostic Radiology, Medical Research Center, Oulu University Hospital, Oulu, Finland.,Oulu Functional NeuroImaging-Group, Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland
| | - Pierre LeVan
- Faculty of Medicine, Department of Radiology - Medical Physics, University Medical Center Freiburg, University of Freiburg, Freiburg, Germany
| | - Maiken Nedergaard
- Center for Translational Neuromedicine, Department of Neurosurgery, University of Rochester, Rochester, New York.,Faculty of Health and Medical Sciences, Center for Basic and Translational Neuroscience, University of Copenhagen, Copenhagen, Denmark
| | - Vesa Kiviniemi
- Department of Diagnostic Radiology, Medical Research Center, Oulu University Hospital, Oulu, Finland.,Oulu Functional NeuroImaging-Group, Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland
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11
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Zawieja SD, Castorena-Gonzalez JA, Dixon B, Davis MJ. Experimental Models Used to Assess Lymphatic Contractile Function. Lymphat Res Biol 2018; 15:331-342. [PMID: 29252142 DOI: 10.1089/lrb.2017.0052] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Recent years have seen a renewed interest in studies of the lymphatic system. This review addresses the differences between in vivo and ex vivo methods for visualization and functional studies of lymphatic networks, with an emphasis on studies of collecting lymphatic vessels. We begin with a brief summary of the historical uses of both approaches. For the purpose of detailed comparisons, we subdivide in vivo methods into those visualizing lymphatic networks through the intact skin and those using surgically opened skin. We subdivide ex vivo methods into isobaric studies (using a pressure myograph) or isometric studies (using a wire myograph). For all four categories, we compile a comprehensive list of the advantages, disadvantages, and limitations of each preparation, with the goal of informing the research community as to the appropriate kinds of experiments best suited, and ill suited, for each.
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Affiliation(s)
- Scott D Zawieja
- 1 Department of Medical Pharmacology and Physiology, University of Missouri , Columbia, Missouri
| | | | - Brandon Dixon
- 2 George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology , Atlanta, Georgia
| | - Michael J Davis
- 1 Department of Medical Pharmacology and Physiology, University of Missouri , Columbia, Missouri
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Novel Method to Detect Corneal Lymphatic Vessels In Vivo by Intrastromal Injection of Fluorescein. Cornea 2018; 37:267-271. [PMID: 29135605 DOI: 10.1097/ico.0000000000001444] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
PURPOSE Corneal lymphatic vessels are clinically invisible because of their thin walls and clear lymph fluid. There is no easy and established method for in vivo imaging of corneal lymphatic vessels so far. In this study, we present a novel approach to visualize corneal lymphatic vessels in vivo by injecting intrastromal fluorescein sodium. METHODS Six- to eight-week-old female BALB/c mice were used in the mouse model of suture-induced corneal neovascularization. Two weeks after the suture placement, fluorescein sodium was injected intrastromally. The fluorescein, taken up by the presumed lymphatic vessels, was then tracked using a clinically used Spectralis HRA + OCT device. Immunohistochemistry staining with specific lymphatic marker LYVE-1 and pan-endothelial marker CD31 was used to confirm the indirect lymphangiography findings. RESULTS By injecting fluorescein intrastromally, both corneal blood and lymphatic vessels were detected. While the lymphatic vessels were visible as bright vessel-like structures using HRA, the blood vessels appeared as dark networks. Fluorescein-labeled lymphatic vessels were colocalized with LYVE-1 in immunohistochemically stained sections of the same specimen. CONCLUSIONS Corneal lymphatic vessels can be easily imaged in vivo in the murine model using intrastromal fluorescein injection.
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Mizeva I, Makovik I, Dunaev A, Krupatkin A, Meglinski I. Analysis of skin blood microflow oscillations in patients with rheumatic diseases. JOURNAL OF BIOMEDICAL OPTICS 2017; 22:70501. [PMID: 28703257 DOI: 10.1117/1.jbo.22.7.070501] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2017] [Accepted: 06/21/2017] [Indexed: 06/07/2023]
Abstract
Laser Doppler flowmetry (LDF) has been applied for the assessment of variation in blood microflows in patients with rheumatic diseases and healthy volunteers. Oscillations of peripheral blood microcirculation observed by LDF have been analyzed utilizing a wavelet transform. A higher amplitude of blood microflow oscillations has been observed in a high frequency band (over 0.1 Hz) in patients with rheumatic diseases. Oscillations in the high frequency band decreased in healthy volunteers in response to the cold pressor test, whereas lower frequency pulsations prevailed in patients with rheumatic diseases. A higher perfusion rate at normal conditions was observed in patients, and a weaker response to cold stimulation was observed in healthy volunteers. Analysis of blood microflow oscillations has a high potential for evaluation of mechanisms of blood flow regulation and diagnosis of vascular abnormalities associated with rheumatic diseases.
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Affiliation(s)
- Irina Mizeva
- Institute of Continuous Media Mechanics, Perm, Russia
| | - Irina Makovik
- Orel State University named after I.S. Turgenev, Orel, Russia
| | - Andrey Dunaev
- Orel State University named after I.S. Turgenev, Orel, Russia
| | - Alexander Krupatkin
- Priorov Central Scientific Research Institute of Traumatology and Orthopedics, Moscow, Russia
| | - Igor Meglinski
- University of Oulu, Opto-Electronics and Measurement Techniques, Oulu, FinlandeInstitute of Biology, Irkutsk State University, Irkutsk, RussiafITMO University, St. Petersburg, RussiagTomsk State University, Interdisciplinary Laboratory of Biophotonics, Tomsk, Russia
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14
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Li C, Wang R. Dynamic laser speckle angiography achieved by eigen-decomposition filtering. JOURNAL OF BIOPHOTONICS 2017; 10:805-810. [PMID: 27896946 PMCID: PMC5447503 DOI: 10.1002/jbio.201600237] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2016] [Revised: 10/26/2016] [Accepted: 10/27/2016] [Indexed: 06/06/2023]
Abstract
A new approach is proposed for statistically analysis of laser speckle signals emerged from a living biological tissue based on eigen-decomposition to separate the dynamic speckle signals due to moving blood cells from the static speckle signals due to static tissue components, upon which to achieve angiography of the interrogated tissue in vivo. The proposed approach is tested by imaging mouse ear pinna in vivo, demonstrating its capability of providing detailed microvascular networks with high contrast, and high temporal and spatial resolutions. It is expected to provide further opportunities for laser speckle imaging in the biomedical and clinical applications where microvascular response to certain stimulus or tissue injury is of interest.
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Affiliation(s)
- Chenxi Li
- Department of Bioengineering, University of Washington, 3720 15th Ave NE, Seattle, WA, 98195, USA
- College of Precision Instrument and Optoelectronics Engineering, Tianjin University, 92 Weijin Road, Tianjin 300072, China
| | - Ruikang Wang
- Department of Bioengineering, University of Washington, 3720 15th Ave NE, Seattle, WA, 98195, USA
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15
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Margaris KN, Nepiyushchikh Z, Zawieja DC, Moore J, Black RA. Microparticle image velocimetry approach to flow measurements in isolated contracting lymphatic vessels. JOURNAL OF BIOMEDICAL OPTICS 2016; 21:25002. [PMID: 26830061 PMCID: PMC8357335 DOI: 10.1117/1.jbo.21.2.025002] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2015] [Accepted: 12/24/2015] [Indexed: 05/06/2023]
Abstract
We describe the development of an optical flow visualization method for resolving the flow velocity vector field in lymphatic vessels in vitro. The aim is to develop an experimental protocol for accurately estimating flow parameters, such as flow rate and shear stresses, with high spatial and temporal resolution. Previous studies in situ have relied on lymphocytes as tracers, but their low density resulted in a reduced spatial resolution whereas the assumption that the flow was fully developed in order to determine the flow parameters of interest may not be valid, especially in the vicinity of the valves, where the flow is undoubtedly more complex. To overcome these issues, we have applied the time-resolved microparticle image velocimetry (μ -PIV) technique, a well-established method that can provide increased spatial and temporal resolution that this transient flow demands. To that end, we have developed a custom light source, utilizing high-power light-emitting diodes, and associated control and image processing software. This paper reports the performance of the system and the results of a series of preliminary experiments performed on vessels isolated from rat mesenteries, demonstrating, for the first time, the successful application of the μ -PIV technique in these vessels.
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Affiliation(s)
- Konstantinos N. Margaris
- University of Strathclyde, Department of Biomedical Engineering, 106 Rottenrow, Glasgow G4 0NW, United Kingdom
| | - Zhanna Nepiyushchikh
- Georgia Institute of Technology, The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-0405, United States
| | - David C. Zawieja
- Texas A&M University, Department of Systems Biology and Translational Medicine, Health Science Center, Temple, Texas 77843-111, United States
| | - James Moore
- Imperial College London, Department of Bioengineering, Royal School of Mines, Exhibition Road, London SW7 2AZ, United Kingdom
| | - Richard A. Black
- University of Strathclyde, Department of Biomedical Engineering, 106 Rottenrow, Glasgow G4 0NW, United Kingdom
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16
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Cohen Y, Dafni H, Avni R, Fellus L, Bochner F, Rotkopf R, Raz T, Benjamin LE, Walsh K, Neeman M. Genetic and Pharmacological Modulation of Akt1 for Improving Ovarian Graft Revascularization in a Mouse Model1. Biol Reprod 2016; 94:14. [DOI: 10.1095/biolreprod.115.131987] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2015] [Accepted: 10/14/2015] [Indexed: 11/01/2022] Open
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17
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Qin W, Baran U, Wang R. Lymphatic response to depilation-induced inflammation in mouse ear assessed with label-free optical lymphangiography. Lasers Surg Med 2015. [PMID: 26224650 DOI: 10.1002/lsm.22387] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND AND OBJECTIVES Optical microangiography (OMAG) is a noninvasive technique capable of imaging 3D microvasculature. OMAG-based optical lymphangiography has been developed for 3D visualization of lymphatic vessels without the need for exogenous contrast agents. In this study, we utilize the optical lymphangiography to investigate dynamic changes in lymphatic response within skin tissue to depilation-induced inflammation by using mouse ear as a simple tissue model. MATERIALS AND METHODS A spectral-domain optical coherence tomography (OCT) system is used in this study to acquire volumetric images of mouse ear. The system operates under the ultrahigh-sensitive OMAG scanning protocol with five repetitions for each B frame. An improved adaptive-threshold-based method is proposed to segment lymphatic vessels from OCT microstructure images. Depilation is achieved by placing hair removal lotion on mouse ear pinna for 5 minutes. Three acquisitions are made before depilation, 3-minute and 30-minute post-depilation, respectively. RESULTS Right after the application of depilation lotion on the skin, we observe that the blind-ended sacs of initial lymphatics are mainly visible in a specific area of the normal tissue. At 5 minutes, more collecting lymphatic vessels start to form, evidenced by their valve structure that only exists in collecting lymphatic vessels. The lymphangiogenesis is almost completed within 8 minutes in the inflammatory tissue. CONCLUSIONS Our experimental results demonstrate that the OMAG-based optical lymphangiography has great potential to improve the understanding of lymphatic system in response to various physiological conditions, thus would benefit the development of effective therapeutics.
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Affiliation(s)
- Wan Qin
- Department of Bioengineering, University of Washington, 3720 15th Ave NE, Seattle, Washington 98195-5061
| | - Utku Baran
- Department of Bioengineering, University of Washington, 3720 15th Ave NE, Seattle, Washington 98195-5061
| | - Ruikang Wang
- Department of Bioengineering, University of Washington, 3720 15th Ave NE, Seattle, Washington 98195-5061.,Department of Ophthalmology, University of Washington, 3720 15th Ave NE, Seattle, Washington 98195-5061
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Kim B, Lee SH, Yoon CJ, Gho YS, Ahn GO, Kim KH. In vivo visualization of skin inflammation by optical coherence tomography and two-photon microscopy. BIOMEDICAL OPTICS EXPRESS 2015; 6:2512-2521. [PMID: 26203377 PMCID: PMC4505705 DOI: 10.1364/boe.6.002512] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2015] [Revised: 06/01/2015] [Accepted: 06/09/2015] [Indexed: 05/23/2023]
Abstract
Inflammation is a non-specific immune response to injury intended to protect biological tissue from harmful stimuli such as pathogens, irritants, and damaged cells. In vivo optical tissue imaging has been used to provide spatial and dynamic characteristics of inflammation within the tissue. In this paper, we report in vivo visualization of inflammation in the skin at both cellular and physiological levels by using a combination of label-free two-photon microscopy (TPM) and optical coherence tomography (OCT). Skin inflammation was induced by topically applying lipopolysaccharide (LPS) on the mouse ear. Temporal OCT imaging visualized tissue swelling, vasodilation, and increased capillary density 30 min and 1 hour after application. TPM imaging showed immune cell migration within the inflamed skin. Combined OCT and TPM was applied to obtain complementary information from each modality in the same region of interest. The information provided by each modality were consistent with previous reports about the characteristics of inflammation. Therefore, the combination of OCT and TPM holds potential for studying inflammation of the skin.
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Affiliation(s)
- Bumju Kim
- Department of Mechanical Engineering, Pohang University of Science and Technology, 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk 790-784, South Korea
| | - Seung Hun Lee
- Department of Mechanical Engineering, Pohang University of Science and Technology, 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk 790-784, South Korea
| | - Calvin J. Yoon
- Division of Integrative Biosciences and Biotechnology, Pohang University of Science and Technology, 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk 790-784, South Korea
| | - Yong Song Gho
- Department of Life Science, Pohang University of Science and Technology, 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk 790-784, South Korea
- Division of Molecular and Life Sciences, Pohang University of Science and Technology, 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk 790-784, South Korea
| | - G-One Ahn
- Division of Integrative Biosciences and Biotechnology, Pohang University of Science and Technology, 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk 790-784, South Korea
- Department of Life Science, Pohang University of Science and Technology, 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk 790-784, South Korea
| | - Ki Hean Kim
- Department of Mechanical Engineering, Pohang University of Science and Technology, 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk 790-784, South Korea
- Division of Integrative Biosciences and Biotechnology, Pohang University of Science and Technology, 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk 790-784, South Korea
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19
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Shi R, Chen M, Tuchin VV, Zhu D. Accessing to arteriovenous blood flow dynamics response using combined laser speckle contrast imaging and skin optical clearing. BIOMEDICAL OPTICS EXPRESS 2015; 6:1977-89. [PMID: 26114023 PMCID: PMC4473738 DOI: 10.1364/boe.6.001977] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2015] [Revised: 04/24/2015] [Accepted: 04/28/2015] [Indexed: 05/18/2023]
Abstract
Laser speckle contrast imaging (LSCI) shows a great potential for monitoring blood flow, but the spatial resolution suffers from the scattering of tissue. Here, we demonstrate the capability of a combination method of LSCI and skin optical clearing to describe in detail the dynamic response of cutaneous vasculature to vasoactive noradrenaline injection. Moreover, the superior resolution, contrast and sensitivity make it possible to rebuild arteries-veins separation and quantitatively assess the blood flow dynamical changes in terms of flow velocity and vascular diameter at single artery or vein level.
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Affiliation(s)
- Rui Shi
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
- MoE Key Laboratory of Biomedical Photonics, Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
- These authors contributed equally to this work
| | - Min Chen
- Affiliated Hospital, Huazhong University of Science and Technology, Wuhan 430074, China
- These authors contributed equally to this work
| | - Valery V. Tuchin
- Research-Educational Institute of Optics and Biophotonics, Saratov State University, Saratov 410012, Russia
- Institute of Precise Mechanics and Control RAS, Saratov 410028, Russia
| | - Dan Zhu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
- MoE Key Laboratory of Biomedical Photonics, Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
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20
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Yuen C, Liu Q. Towards in vivo intradermal surface enhanced Raman scattering (SERS) measurements: silver coated microneedle based SERS probe. JOURNAL OF BIOPHOTONICS 2014; 7:683-689. [PMID: 23666825 DOI: 10.1002/jbio.201300006] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2013] [Revised: 03/26/2013] [Accepted: 04/21/2013] [Indexed: 06/02/2023]
Abstract
We propose a microneedle coated with silver (Ag) to detect analytes at low concentrations positioned at a depth of more than 700 μm below the surface of a skin phantom with absorbers and scatterers for mimicking the intradermal surface-enhanced Raman scattering (SERS) measurements. The Ag layer in the Ag-coated microneedle-based probe is found to be the key to the effective detection of analytes buried inside the aforesaid phantom. Glucose concentrations ranging from 5 to 150 mM inside phantoms can be estimated with a root mean square error (RMSE) of 3.3 mM. This work shows the potential of using microneedles for simple in vivo intradermal SERS measurements of analytes with clinical relevance.
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Affiliation(s)
- Clement Yuen
- Division of Bioengineering, School of Chemical and Biomedical Engineering, Nanyang Technological University, 70 Nanyang Drive, Singapore 637457, Singapore
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21
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Cheng KHY, Mariampillai A, Lee KKC, Vuong B, Luk TWH, Ramjist J, Curtis A, Jakubovic H, Kertes P, Letarte M, Faughnan ME, HHT Investigator Group BVMC, Yang VXD. Histogram flow mapping with optical coherence tomography for in vivo skin angiography of hereditary hemorrhagic telangiectasia. JOURNAL OF BIOMEDICAL OPTICS 2014; 19:086015. [PMID: 25140883 PMCID: PMC4407667 DOI: 10.1117/1.jbo.19.8.086015] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2014] [Revised: 07/09/2014] [Accepted: 07/21/2014] [Indexed: 05/24/2023]
Abstract
Speckle statistics of flowing scatterers have been well documented in the literature. Speckle variance optical coherence tomography exploits the large variance values of intensity changes in time caused mainly by the random backscattering of light resulting from translational activity of red blood cells to map out the microvascular networks. A method to map out the microvasculature malformation of skin based on the time-domain histograms of individual pixels is presented with results obtained from both normal skin and skin containing vascular malformation. Results demonstrated that this method can potentially map out deeper blood vessels and enhance the visualization of microvasculature in low signal regions, while being resistant against motion (e.g., patient tremor or internal reflex movements). The overall results are manifested as more uniform en face projection maps of microvessels. Potential applications include clinical imaging of skin vascular abnormalities and wide-field skin angiography for the study of complex vascular networks.
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Affiliation(s)
- Kyle H. Y. Cheng
- University of Toronto, Edward S. Rogers Sr. Department of Electrical and Computer Engineering, Toronto M5S 3G4, Canada
- Ryerson University, Biophotonics and Bioengineering Laboratory, Toronto M5B 2K3, Canada
| | - Adrian Mariampillai
- Ryerson University, Biophotonics and Bioengineering Laboratory, Toronto M5B 2K3, Canada
- Ryerson University, Department of Electrical and Computer Engineering, Toronto M5B 2K3, Canada
| | - Kenneth K. C. Lee
- University of Toronto, Edward S. Rogers Sr. Department of Electrical and Computer Engineering, Toronto M5S 3G4, Canada
- Ryerson University, Biophotonics and Bioengineering Laboratory, Toronto M5B 2K3, Canada
| | - Barry Vuong
- Ryerson University, Biophotonics and Bioengineering Laboratory, Toronto M5B 2K3, Canada
- Ryerson University, Department of Electrical and Computer Engineering, Toronto M5B 2K3, Canada
| | - Timothy W. H. Luk
- Ryerson University, Biophotonics and Bioengineering Laboratory, Toronto M5B 2K3, Canada
- Ryerson University, Department of Electrical and Computer Engineering, Toronto M5B 2K3, Canada
| | - Joel Ramjist
- Ryerson University, Biophotonics and Bioengineering Laboratory, Toronto M5B 2K3, Canada
| | - Anne Curtis
- University of Toronto, Department of Medicine, Toronto M5S 1A8, Canada
| | - Henry Jakubovic
- University of Toronto, St. Michael’s Hospital, Dermatopathology, Department of Laboratory Medicine, Toronto M5B 1W8, Canada
| | - Peter Kertes
- University of Toronto, John and Liz Tory Eye Centre, Sunnybrook Health Sciences Centre, Department of Ophthalmology and Vision Sciences, Toronto M4N 3M5, Canada
| | - Michelle Letarte
- SickKids Research Institute, Hospital for Sick Children, Toronto M5G 1X8, Canada
- University of Toronto, Department of Immunology, Toronto M5S 1A8, Canada
| | - Marie E. Faughnan
- University of Toronto, St. Michael’s Hospital, Toronto HHT Program, Division of Respirology, Department of Medicine, Toronto M5B 1W8, Canada
- St. Michaels Hospital, Li Ka Shing Knowledge Institute, Toronto M5B 1W8, Canada
| | | | - Victor X. D. Yang
- Ryerson University, Biophotonics and Bioengineering Laboratory, Toronto M5B 2K3, Canada
- Ryerson University, Department of Electrical and Computer Engineering, Toronto M5B 2K3, Canada
- Sunnybrook Health Science Centre, Division of Neurosurgery, Toronto M4N 3M5, Canada
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Dunaev AV, Sidorov VV, Krupatkin AI, Rafailov IE, Palmer SG, Stewart NA, Sokolovski SG, Rafailov EU. Investigating tissue respiration and skin microhaemocirculation under adaptive changes and the synchronization of blood flow and oxygen saturation rhythms. Physiol Meas 2014; 35:607-21. [DOI: 10.1088/0967-3334/35/4/607] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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23
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Yousefi S, Zhi Z, Wang RK. Label-free optical imaging of lymphatic vessels within tissue beds in vivo. IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS : A PUBLICATION OF THE IEEE LASERS AND ELECTRO-OPTICS SOCIETY 2014; 20:6800510. [PMID: 25642129 PMCID: PMC4307825 DOI: 10.1109/jstqe.2013.2278073] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Lymphatic vessels are a part of circulatory system in vertebrates that maintain tissue fluid homeostasis and drain excess fluid and large cells that cannot easily find their way back into venous system. Due to the lack of non-invasive monitoring tools, lymphatic vessels are known as forgotten circulation. However, lymphatic system plays an important role in diseases such as cancer and inflammatory conditions. In this paper, we start to briefly review the current existing methods for imaging lymphatic vessels, mostly involving dye/targeting cell injection. We then show the capability of optical coherence tomography (OCT) for label-free non-invasive in vivo imaging of lymph vessels and nodes. One of the advantages of using OCT over other imaging modalities is its ability to assess label-free blood flow perfusion that can be simultaneously observed along with lymphatic vessels for imaging the microcirculatory system within tissue beds. Imaging the microcirculatory system including blood and lymphatic vessels can be utilized for imaging and better understanding pathologic mechanisms and treatment technique development in some critical diseases such as inflammation, malignant cancer angiogenesis and metastasis.
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Affiliation(s)
- Siavash Yousefi
- Bioengineering Department, University of Washington, Seattle, WA 98195 USA
| | - Zhongwei Zhi
- Bioengineering Department, University of Washington, Seattle, WA 98195 USA
| | - Ruikang K. Wang
- Bioengineering and Ophthalmology Department, University of Washington, Seattle, WA 98195 USA
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Qin J, Shi L, Wang H, Reif R, Wang RK. Functional evaluation of hemodynamic response during neural activation using optical microangiography integrated with dual-wavelength laser speckle imaging. JOURNAL OF BIOMEDICAL OPTICS 2014; 19:026013. [PMID: 24549439 PMCID: PMC3925847 DOI: 10.1117/1.jbo.19.2.026013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2013] [Accepted: 01/17/2014] [Indexed: 05/12/2023]
Abstract
Evaluation of spatiotemporal hemodynamic and metabolic responses during neural activation is crucial in studying brain function. We explore the use of a noninvasive multifunctional optical imaging system to measure these responses in a mouse brain upon electrically stimulated neural activation, with the cranium left intact. The system is developed by integrating an optical microangiography (OMAG) imaging system with a dual-wavelength laser speckle imaging (DW-LSI) system. The DW-LSI, running at an image acquisition speed of ∼100 Hz, is used to extract the large-scale two-dimensional map, revealing the localized response of blood flow, hemoglobin concentration, and metabolic rate of oxygen change. Guided by DW-LSI, the OMAG is, however, used to image the response of individual blood vessels with its unique depth-resolved capability. We show that the integrated system is capable of investigating neural activation, thus is potentially valuable in the preclinical study of the mechanism of neurovascular coupling.
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Affiliation(s)
- Jia Qin
- University of Washington, Department of Bioengineering, Seattle, Washington 98195
| | - Lei Shi
- University of Washington, Department of Bioengineering, Seattle, Washington 98195
| | - Hequn Wang
- University of Washington, Department of Bioengineering, Seattle, Washington 98195
| | - Roberto Reif
- University of Washington, Department of Bioengineering, Seattle, Washington 98195
| | - Ruikang K. Wang
- University of Washington, Department of Bioengineering, Seattle, Washington 98195
- Address all correspondence to: Ruikang K. Wang, E-mail:
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25
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Yousefi S, Qin J, Dziennis S, Wang RK. Assessment of microcirculation dynamics during cutaneous wound healing phases in vivo using optical microangiography. JOURNAL OF BIOMEDICAL OPTICS 2014; 19:76015. [PMID: 25036212 PMCID: PMC4103582 DOI: 10.1117/1.jbo.19.7.076015] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2014] [Revised: 05/24/2014] [Accepted: 06/05/2014] [Indexed: 05/20/2023]
Abstract
Cutaneous wound healing consists of multiple overlapping phases starting with blood coagulation following incision of blood vessels. We utilized label-free optical coherence tomography and optical microangiography (OMAG) to noninvasively monitor healing process and dynamics of microcirculation system in a mouse ear pinna wound model. Mouse ear pinna is composed of two layers of skin separated by a layer of cartilage and because its total thickness is around 500 μm, it can be utilized as an ideal model for optical imaging techniques. These skin layers are identical to human skin structure except for sweat ducts and glands. Microcirculatory system responds to the wound injury by recruiting collateral vessels to supply blood flow to hypoxic region. During the inflammatory phase, lymphatic vessels play an important role in the immune response of the tissue and clearing waste from interstitial fluid. In the final phase of wound healing, tissue maturation, and remodeling, the wound area is fully closed while blood vessels mature to support the tissue cells. We show that using OMAG technology allows noninvasive and label-free monitoring and imaging each phase of wound healing that can be used to replace invasive tissue sample histology and immunochemistry technologies.
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Affiliation(s)
- Siavash Yousefi
- University of Washington, Department of Bioengineering, Seattle, Washington 98195, United States
| | - Jia Qin
- University of Washington, Department of Bioengineering, Seattle, Washington 98195, United States
| | - Suzan Dziennis
- University of Washington, Department of Bioengineering, Seattle, Washington 98195, United States
| | - Ruikang K. Wang
- University of Washington, Department of Bioengineering, Seattle, Washington 98195, United States
- Address all correspondence to: Ruikang K. Wang, E-mail:
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Visualization of lymphatic vessel development, growth, and function. ADVANCES IN ANATOMY, EMBRYOLOGY, AND CELL BIOLOGY 2014; 214:167-86. [PMID: 24276894 DOI: 10.1007/978-3-7091-1646-3_13] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Despite their important physiological and pathophysiological functions, lymphatic endothelial cells and lymphatic vessels remain less well studied compared to the blood vascular system. Lymphatic endothelium differentiates from venous blood vascular endothelium after initial arteriovenous differentiation. Only recently by the use of light sheet microscopy, the precise mechanism of separation of the first lymphatic endothelial progenitors from the cardinal vein has been described as delamination followed by mesenchymal cell migration of lymphatic endothelial cells. Dorsolaterally of the embryonic cardinal vein, lymphatic endothelial cells reaggregate to form the first lumenized lymphatic vessels, the dorsal peripheral longitudinal vessel and the more ventrally positioned primordial thoracic duct. Despite this progress in our understanding of the first lymph vessel formation, intravital observation of lymphatic vessel behavior in the intact organism, during development and in the adult, is prerequisite to a precise understanding of this tissue. Transgenic models and two-photon microscopy, in combination with optical windows, have made live intravital imaging possible: however, new imaging modalities and novel approaches promise gentler, more physiological, and longer intravital imaging of lymphatic vessels.
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Yousefi S, Qin J, Zhi Z, Wang RK. Label-free optical lymphangiography: development of an automatic segmentation method applied to optical coherence tomography to visualize lymphatic vessels using Hessian filters. JOURNAL OF BIOMEDICAL OPTICS 2013; 18:86004. [PMID: 23922124 PMCID: PMC3734368 DOI: 10.1117/1.jbo.18.8.086004] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Lymphatic vessels are a part of the circulatory system that collect plasma and other substances that have leaked from the capillaries into interstitial fluid (lymph) and transport lymph back to the circulatory system. Since lymph is transparent, lymphatic vessels appear as dark hallow vessel-like regions in optical coherence tomography (OCT) cross sectional images. We propose an automatic method to segment lymphatic vessel lumen from OCT structural cross sections using eigenvalues of Hessian filters. Compared to the existing method based on intensity threshold, Hessian filters are more selective on vessel shape and less sensitive to intensity variations and noise. Using this segmentation technique along with optical micro-angiography allows label-free noninvasive simultaneous visualization of blood and lymphatic vessels in vivo. Lymphatic vessels play an important role in cancer, immune system response, inflammatory disease, wound healing and tissue regeneration. Development of imaging techniques and visualization tools for lymphatic vessels is valuable in understanding the mechanisms and studying therapeutic methods in related disease and tissue response.
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Affiliation(s)
- Siavash Yousefi
- University of Washington, Department of Bioengineering, Seattle, Washington 98195
| | - Jia Qin
- University of Washington, Department of Bioengineering, Seattle, Washington 98195
| | - Zhongwei Zhi
- University of Washington, Department of Bioengineering, Seattle, Washington 98195
| | - Ruikang K. Wang
- University of Washington, Department of Bioengineering, Seattle, Washington 98195
- Address all correspondence to: Ruikang K. Wang, University of Washington, Department of Bioengineering, Seattle, Washington 98195. Tel: 206 6165025; Fax: 206 6853300; E-mail:
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Blei F. Update September 2012. Lymphat Res Biol 2012. [DOI: 10.1089/lrb.2012.1035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Francine Blei
- Hassenfeld Children's Center for Cancer and Blood Disorders of NYU Medical Center, New York, New York
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