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De Koninck Y, Alonso J, Bancelin S, Béïque JC, Bélanger E, Bouchard C, Canossa M, Chaniot J, Choquet D, Crochetière MÈ, Cui N, Danglot L, De Koninck P, Devor A, Ducros M, Getz AM, Haouat M, Hernández IC, Jowett N, Keramidis I, Larivière-Loiselle C, Lavoie-Cardinal F, MacGillavry HD, Malkoç A, Mancinelli M, Marquet P, Minderler S, Moreaud M, Nägerl UV, Papanikolopoulou K, Paquet ME, Pavesi L, Perrais D, Sansonetti R, Thunemann M, Vignoli B, Yau J, Zaccaria C. Understanding the nervous system: lessons from Frontiers in Neurophotonics. NEUROPHOTONICS 2024; 11:014415. [PMID: 38545127 PMCID: PMC10972537 DOI: 10.1117/1.nph.11.1.014415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/17/2024]
Abstract
The Frontiers in Neurophotonics Symposium is a biennial event that brings together neurobiologists and physicists/engineers who share interest in the development of leading-edge photonics-based approaches to understand and manipulate the nervous system, from its individual molecular components to complex networks in the intact brain. In this Community paper, we highlight several topics that have been featured at the symposium that took place in October 2022 in Québec City, Canada.
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Affiliation(s)
- Yves De Koninck
- CERVO Brain Research Centre, Québec City, Québec, Canada
- Laval University, Department of Psychiatry and Neurosciences, Faculty of Medicine, Québec City, Québec, Canada
| | - Johanna Alonso
- CERVO Brain Research Centre, Québec City, Québec, Canada
| | - Stéphane Bancelin
- University of Bordeaux, Interdisciplinary Institute for Neuroscience, National Centre for Scientific Research (CNRS), Bordeaux, France
| | - Jean-Claude Béïque
- University of Ottawa, Brain and Mind Research Institute, Centre of Neural Dynamics, Ottawa, Ontario, Canada
| | - Erik Bélanger
- CERVO Brain Research Centre, Québec City, Québec, Canada
- Laval University, Department of Psychiatry and Neurosciences, Faculty of Medicine, Québec City, Québec, Canada
- Laval University, Département de physique, de génie physique et d’optique, Québec City, Québec, Canada
| | - Catherine Bouchard
- CERVO Brain Research Centre, Québec City, Québec, Canada
- Laval University, Institute Intelligence and Data, Québec City, Québec, Canada
| | - Marco Canossa
- University of Trento, Department of Cellular Computational and Integrative Biology, Trento, Italy
| | - Johan Chaniot
- CERVO Brain Research Centre, Québec City, Québec, Canada
- Laval University, Department of Psychiatry and Neurosciences, Faculty of Medicine, Québec City, Québec, Canada
| | - Daniel Choquet
- University of Bordeaux, Interdisciplinary Institute for Neuroscience, National Centre for Scientific Research (CNRS), Bordeaux, France
- University of Bordeaux, CNRS, Institut national de la santé et de la recherche médicale (INSERM), Bordeaux Imaging Center (BIC), Bordeaux, France
| | | | - Nanke Cui
- Harvard Medical School, Surgical Photonics & Engineering Laboratory, Mass Eye and Ear, Boston, Massachusetts, United States
| | - Lydia Danglot
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, Paris, France
| | - Paul De Koninck
- CERVO Brain Research Centre, Québec City, Québec, Canada
- Laval University, Department of Biochemistry, Microbiology, and Bioinformatics, Faculty of Science and Engineering, Québec City, Québec, Canada
| | - Anna Devor
- Boston University, Department of Biomedical Engineering, Boston, Massachusetts, United States
- Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, United States
| | - Mathieu Ducros
- University of Bordeaux, CNRS, Institut national de la santé et de la recherche médicale (INSERM), Bordeaux Imaging Center (BIC), Bordeaux, France
| | - Angela M. Getz
- University of Bordeaux, Interdisciplinary Institute for Neuroscience, National Centre for Scientific Research (CNRS), Bordeaux, France
- University of Bordeaux, CNRS, Institut national de la santé et de la recherche médicale (INSERM), Bordeaux Imaging Center (BIC), Bordeaux, France
| | - Mohamed Haouat
- CERVO Brain Research Centre, Québec City, Québec, Canada
- Laval University, Department of Psychiatry and Neurosciences, Faculty of Medicine, Québec City, Québec, Canada
| | - Iván Coto Hernández
- Harvard Medical School, Surgical Photonics & Engineering Laboratory, Mass Eye and Ear, Boston, Massachusetts, United States
| | - Nate Jowett
- Harvard Medical School, Surgical Photonics & Engineering Laboratory, Mass Eye and Ear, Boston, Massachusetts, United States
| | | | - Céline Larivière-Loiselle
- CERVO Brain Research Centre, Québec City, Québec, Canada
- Laval University, Département de physique, de génie physique et d’optique, Québec City, Québec, Canada
| | - Flavie Lavoie-Cardinal
- CERVO Brain Research Centre, Québec City, Québec, Canada
- Laval University, Department of Psychiatry and Neurosciences, Faculty of Medicine, Québec City, Québec, Canada
- Laval University, Institute Intelligence and Data, Québec City, Québec, Canada
| | - Harold D. MacGillavry
- Utrecht University, Faculty of Science, Division of Cell Biology, Neurobiology and Biophysics, Department of Biology, Utrecht, The Netherlands
| | - Asiye Malkoç
- University of Trento, Department of Cellular Computational and Integrative Biology, Trento, Italy
- University of Trento, Department of Physics, Trento, Italy
| | | | - Pierre Marquet
- CERVO Brain Research Centre, Québec City, Québec, Canada
- Laval University, Department of Psychiatry and Neurosciences, Faculty of Medicine, Québec City, Québec, Canada
- Laval University, Centre d’optique, photonique et laser (COPL), Québec City, Québec, Canada
| | - Steven Minderler
- Harvard Medical School, Surgical Photonics & Engineering Laboratory, Mass Eye and Ear, Boston, Massachusetts, United States
| | - Maxime Moreaud
- CERVO Brain Research Centre, Québec City, Québec, Canada
- IFP Energies nouvelles, Solaize, France
| | - U. Valentin Nägerl
- University of Bordeaux, Interdisciplinary Institute for Neuroscience, National Centre for Scientific Research (CNRS), Bordeaux, France
| | - Katerina Papanikolopoulou
- Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center Alexander Fleming, Vari, Greece
| | | | - Lorenzo Pavesi
- University of Trento, Department of Physics, Trento, Italy
| | - David Perrais
- University of Bordeaux, Interdisciplinary Institute for Neuroscience, National Centre for Scientific Research (CNRS), Bordeaux, France
| | | | - Martin Thunemann
- Boston University, Department of Biomedical Engineering, Boston, Massachusetts, United States
| | - Beatrice Vignoli
- University of Trento, Department of Cellular Computational and Integrative Biology, Trento, Italy
- University of Trento, Department of Physics, Trento, Italy
| | - Jenny Yau
- Harvard Medical School, Surgical Photonics & Engineering Laboratory, Mass Eye and Ear, Boston, Massachusetts, United States
| | - Clara Zaccaria
- University of Trento, Department of Physics, Trento, Italy
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Gray AL, Schiessl I, Dyer DP. Chronic cranial window implantation for high-resolution intravital imaging of the endothelial glycocalyx in mouse cortex. STAR Protoc 2023; 4:102712. [PMID: 37967013 PMCID: PMC10684883 DOI: 10.1016/j.xpro.2023.102712] [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: 07/27/2023] [Revised: 09/15/2023] [Accepted: 10/25/2023] [Indexed: 11/17/2023] Open
Abstract
The endothelial glycocalyx is an integral component of the brain vascular barrier. Visualizing its structure in vivo is essential to understand its physiological and pathophysiological mechanisms. Here, we present a surgical protocol for chronic cranial window implantation in mice, alongside the use of multiphoton microscopy tools to image the cortical vasculature. We describe steps for cranial window implantation, intravenous injection of fluorescent markers, and intravital imaging. We then detail a technique to quantify glycocalyx thickness using Imaris image analysis software. For complete details on the use and execution of this protocol, please refer to Gray et al. (2023).1.
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Affiliation(s)
- Anna Lindsay Gray
- Wellcome Centre for Cell-Matrix Research, Lydia Becker Institute of Immunology and Inflammation, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester M13 9PT, UK; Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance National Health Service Foundation Trust, University of Manchester, Manchester M13 9PL, UK.
| | - Ingo Schiessl
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance National Health Service Foundation Trust, University of Manchester, Manchester M13 9PL, UK; Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK.
| | - Douglas Philip Dyer
- Wellcome Centre for Cell-Matrix Research, Lydia Becker Institute of Immunology and Inflammation, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester M13 9PT, UK; Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance National Health Service Foundation Trust, University of Manchester, Manchester M13 9PL, UK.
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3
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Mali SB. Role of in vivo imaging in Head and Neck cancer management. Oral Oncol 2023; 146:106575. [PMID: 37741020 DOI: 10.1016/j.oraloncology.2023.106575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 09/18/2023] [Indexed: 09/25/2023]
Abstract
Intravital microscopy (IVM) and optical coherency tomography (OCT) are powerful optical imaging tools that allow visualization of dynamic biological activities in living subjects with subcellular resolutions. They have been used in preclinical and clinical cancer imaging, providing insights into the complex physiological, cellular, and molecular behaviors of tumors. They have revolutionized cancer diagnosis and therapies, allowing for real-time observation of biologic processes in vivo, including angiogenesis and immune cell interactions. Recent developments in techniques for observing deep tissues of living animals have improved bioluminescent proteins, fluorescent proteins, fluorescent dyes, and detection technologies like two-photon excitation microscopy. These technologies have become indispensable tools in basic sciences, preclinical research, and modern drug development. In Vivo imaging can detect subcellular signaling or metabolic events in living animals, but depth-dependent signal attenuation limits the depth from which significant data can be obtained. Cancer cell motility and invasion are key features of metastatic tumors, but only a small portion of tumor cells are motile and metastasize due to genetic, epigenetic, and microenvironmental heterogeneities.
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Affiliation(s)
- Shrikant B Mali
- Mahatma Gandhi Vidyamandir's Karmaveer Bhausaheb Hiray Dental College & Hospital, Nashik, India.
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Hanafy AS, Steinlein P, Pitsch J, Silva MH, Vana N, Becker AJ, Graham ME, Schoch S, Lamprecht A, Dietrich D. Subcellular analysis of blood-brain barrier function by micro-impalement of vessels in acute brain slices. Nat Commun 2023; 14:481. [PMID: 36717572 PMCID: PMC9886996 DOI: 10.1038/s41467-023-36070-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Accepted: 01/13/2023] [Indexed: 01/31/2023] Open
Abstract
The blood-brain barrier (BBB) is a tightly and actively regulated vascular barrier. Answering fundamental biological and translational questions about the BBB with currently available approaches is hampered by a trade-off between accessibility and biological validity. We report an approach combining micropipette-based local perfusion of capillaries in acute brain slices with multiphoton microscopy. Micro-perfusion offers control over the luminal solution and allows application of molecules and drug delivery systems, whereas the bath solution defines the extracellular milieu in the brain parenchyma. Here we show, that this combination allows monitoring of BBB transport at the cellular level, visualization of BBB permeation of cells and molecules in real-time and resolves subcellular details of the neurovascular unit. In combination with electrophysiology, it permits comparison of drug effects on neuronal activity following luminal versus parenchymal application. We further apply micro-perfusion to the human and mouse BBB of epileptic hippocampi highlighting its utility for translational research and analysis of therapeutic strategies.
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Affiliation(s)
- Amira Sayed Hanafy
- Department of Neurosurgery, University Hospital Bonn, Bonn, Germany.,Department of Pharmaceutics, Institute of Pharmacy, University of Bonn, Bonn, Germany
| | - Pia Steinlein
- Department of Neurosurgery, University Hospital Bonn, Bonn, Germany.,Department of Pharmaceutics, Institute of Pharmacy, University of Bonn, Bonn, Germany
| | - Julika Pitsch
- Section for Translational Epilepsy Research, Dept. of Neuropathology, University Hospital Bonn, Bonn, Germany.,Department of Epileptology, University Hospital Bonn, Bonn, Germany
| | - Mariella Hurtado Silva
- Synapse Proteomics, Children's Medical Research Institute, The University of Sydney, Sydney, Australia
| | - Natascha Vana
- Department of Neurosurgery, University Hospital Bonn, Bonn, Germany
| | - Albert J Becker
- Section for Translational Epilepsy Research, Dept. of Neuropathology, University Hospital Bonn, Bonn, Germany
| | - Mark Evan Graham
- Synapse Proteomics, Children's Medical Research Institute, The University of Sydney, Sydney, Australia
| | - Susanne Schoch
- Section for Translational Epilepsy Research, Dept. of Neuropathology, University Hospital Bonn, Bonn, Germany
| | - Alf Lamprecht
- Department of Pharmaceutics, Institute of Pharmacy, University of Bonn, Bonn, Germany.
| | - Dirk Dietrich
- Department of Neurosurgery, University Hospital Bonn, Bonn, Germany.
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Sardella D, Kristensen AM, Bordoni L, Kidmose H, Shahrokhtash A, Sutherland DS, Frische S, Schiessl IM. Serial intravital 2-photon microscopy and analysis of the kidney using upright microscopes. Front Physiol 2023; 14:1176409. [PMID: 37168225 PMCID: PMC10164931 DOI: 10.3389/fphys.2023.1176409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 04/03/2023] [Indexed: 05/13/2023] Open
Abstract
Serial intravital 2-photon microscopy of the kidney and other abdominal organs is a powerful technique to assess tissue function and structure simultaneously and over time. Thus, serial intravital microscopy can capture dynamic tissue changes during health and disease and holds great potential to characterize (patho-) physiological processes with subcellular resolution. However, successful image acquisition and analysis require significant expertise and impose multiple potential challenges. Abdominal organs are rhythmically displaced by breathing movements which hamper high-resolution imaging. Traditionally, kidney intravital imaging is performed on inverted microscopes where breathing movements are partly compensated by the weight of the animal pressing down. Here, we present a custom and easy-to-implement setup for intravital imaging of the kidney and other abdominal organs on upright microscopes. Furthermore, we provide image processing protocols and a new plugin for the free image analysis software FIJI to process multichannel fluorescence microscopy data. The proposed image processing pipelines cover multiple image denoising algorithms, sample drift correction using 2D registration, and alignment of serial imaging data collected over several weeks using landmark-based 3D registration. The provided tools aim to lower the barrier of entry to intravital microscopy of the kidney and are readily applicable by biomedical practitioners.
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Affiliation(s)
- Donato Sardella
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- *Correspondence: Ina Maria Schiessl, ; Donato Sardella,
| | | | - Luca Bordoni
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Hanne Kidmose
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Ali Shahrokhtash
- Interdisciplinary Nanoscience Center, Aarhus University, Aarhus, Denmark
| | | | | | - Ina Maria Schiessl
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- *Correspondence: Ina Maria Schiessl, ; Donato Sardella,
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Abstract
In this series of papers on light microscopy imaging, we have covered the fundamentals of microscopy, super-resolution microscopy, and lightsheet microscopy. This last review covers multi-photon microscopy with a brief reference to intravital imaging and Brainbow labeling. Multi-photon microscopy is often referred to as two-photon microscopy. Indeed, using two-photon microscopy is by far the most common way of imaging thick tissues; however, it is theoretically possible to use a higher number of photons, and three-photon microscopy is possible. Therefore, this review is titled "multi-photon microscopy." Another term for describing multi-photon microscopy is "non-linear" microscopy because fluorescence intensity at the focal spot depends upon the average squared intensity rather than the squared average intensity; hence, non-linear optics (NLO) is an alternative name for multi-photon microscopy. It is this non-linear relationship (or third exponential power in the case of three-photon excitation) that determines the axial optical sectioning capability of multi-photon imaging. In this paper, the necessity for two-photon or multi-photon imaging is explained, and the method of optical sectioning by multi-photon microscopy is described. Advice is also given on what fluorescent markers to use and other practical aspects of imaging thick tissues. The technique of Brainbow imaging is discussed. The review concludes with a description of intravital imaging of the mouse. © 2023 Wiley Periodicals LLC.
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Paulson B, Darian SB, Kim Y, Oh J, Ghasemi M, Lee K, Kim JK. Spectral Multiplexing of Fluorescent Endoscopy for Simultaneous Imaging with Multiple Fluorophores and Multiple Fields of View. BIOSENSORS 2022; 13:33. [PMID: 36671868 PMCID: PMC9855833 DOI: 10.3390/bios13010033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 12/22/2022] [Accepted: 12/22/2022] [Indexed: 06/17/2023]
Abstract
Complex clinical procedures and small-animal research procedures can benefit from dual-site imaging provided by multiple endoscopic devices. Here, an endoscopic system is proposed which enables multiple fluorescence microendoscopes to be spectrally multiplexed on a single microscope base, enabling light sources and optical relays to be shared between endoscopes. The presented system is characterized for resolution using USAF-1951 resolution test charts and for modulation transfer function using the slanted edge method. Imaging is demonstrated both directly and with microendoscopes attached. Imaging of phantoms was demonstrated by targeting USAF charts and fiber tissues dyed for FITC and Texas Red fluorescence. Afterwards, simultaneous liver and kidney imaging was demonstrated in mice expressing mitochondrial Dendra2 and injected with Texas Red-dextran. The results indicate that the system achieves high channel isolation and submicron and subcellular resolution, with resolution limited by the endoscopic probe and by physiological movement during endoscopic imaging. Multi-channel microendoscopy provides a potentially low-cost means of simultaneous multiple endoscopic imaging during biological experiments, resulting in reduced animal harm and potentially increasing insight into temporal connections between connected biological systems.
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Affiliation(s)
- Bjorn Paulson
- Biomedical Engineering Research Center, Asan Institute for Life Science, Asan Medical Center, Seoul 05505, Republic of Korea
| | - Saeed Bohlooli Darian
- Department of Convergence Medicine, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea
| | - Youngkyu Kim
- Department of Convergence Medicine, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea
| | - Jeongmin Oh
- Department of Convergence Medicine, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea
| | - Marjan Ghasemi
- Department of Physics, Yonsei University, Seoul 03722, Republic of Korea
| | - Kwanhee Lee
- Department of Convergence Medicine, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea
| | - Jun Ki Kim
- Biomedical Engineering Research Center, Asan Institute for Life Science, Asan Medical Center, Seoul 05505, Republic of Korea
- Department of Convergence Medicine, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea
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Scheele CLGJ, Herrmann D, Yamashita E, Celso CL, Jenne CN, Oktay MH, Entenberg D, Friedl P, Weigert R, Meijboom FLB, Ishii M, Timpson P, van Rheenen J. Multiphoton intravital microscopy of rodents. NATURE REVIEWS. METHODS PRIMERS 2022; 2:89. [PMID: 37621948 PMCID: PMC10449057 DOI: 10.1038/s43586-022-00168-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 09/12/2022] [Indexed: 08/26/2023]
Abstract
Tissues are heterogeneous with respect to cellular and non-cellular components and in the dynamic interactions between these elements. To study the behaviour and fate of individual cells in these complex tissues, intravital microscopy (IVM) techniques such as multiphoton microscopy have been developed to visualize intact and live tissues at cellular and subcellular resolution. IVM experiments have revealed unique insights into the dynamic interplay between different cell types and their local environment, and how this drives morphogenesis and homeostasis of tissues, inflammation and immune responses, and the development of various diseases. This Primer introduces researchers to IVM technologies, with a focus on multiphoton microscopy of rodents, and discusses challenges, solutions and practical tips on how to perform IVM. To illustrate the unique potential of IVM, several examples of results are highlighted. Finally, we discuss data reproducibility and how to handle big imaging data sets.
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Affiliation(s)
- Colinda L. G. J. Scheele
- Laboratory for Intravital Imaging and Dynamics of Tumor Progression, VIB Center for Cancer Biology, KU Leuven, Leuven, Belgium
- Department of Oncology, KU Leuven, Leuven, Belgium
| | - David Herrmann
- Cancer Ecosystems Program, Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Department, Sydney, New South Wales, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, New South Wales, Australia
| | - Erika Yamashita
- Department of Immunology and Cell Biology, Graduate School of Medicine and Frontier Biosciences, Osaka University, Osaka, Japan
- WPI-Immunology Frontier Research Center, Osaka University, Osaka, Japan
- Laboratory of Bioimaging and Drug Discovery, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
| | - Cristina Lo Celso
- Department of Life Sciences and Centre for Hematology, Imperial College London, London, UK
- Sir Francis Crick Institute, London, UK
| | - Craig N. Jenne
- Snyder Institute for Chronic Diseases, University of Calgary, Calgary, Alberta, Canada
| | - Maja H. Oktay
- Department of Pathology, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Gruss-Lipper Biophotonics Center, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Integrated Imaging Program, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
| | - David Entenberg
- Department of Pathology, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Gruss-Lipper Biophotonics Center, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Integrated Imaging Program, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
| | - Peter Friedl
- Department of Cell Biology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Nijmegen, Netherlands
- David H. Koch Center for Applied Genitourinary Cancers, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Roberto Weigert
- Laboratory of Cellular and Molecular Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Franck L. B. Meijboom
- Department of Population Health Sciences, Sustainable Animal Stewardship, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands
- Faculty of Humanities, Ethics Institute, Utrecht University, Utrecht, Netherlands
| | - Masaru Ishii
- Department of Immunology and Cell Biology, Graduate School of Medicine and Frontier Biosciences, Osaka University, Osaka, Japan
- WPI-Immunology Frontier Research Center, Osaka University, Osaka, Japan
- Laboratory of Bioimaging and Drug Discovery, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
| | - Paul Timpson
- Cancer Ecosystems Program, Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Department, Sydney, New South Wales, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, New South Wales, Australia
| | - Jacco van Rheenen
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, Netherlands
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, Netherlands
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Intravital microscopy for real-time monitoring of drug delivery and nanobiological processes. Adv Drug Deliv Rev 2022; 189:114528. [PMID: 36067968 DOI: 10.1016/j.addr.2022.114528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 08/10/2022] [Accepted: 08/30/2022] [Indexed: 01/24/2023]
Abstract
Intravital microscopy (IVM) expands our understanding of cellular and molecular processes, with applications ranging from fundamental biology to (patho)physiology and immunology, as well as from drug delivery to drug processing and drug efficacy testing. In this review, we highlight modalities, methods and model organisms that make up today's IVM landscape, and we present how IVM - via its high spatiotemporal resolution - enables analysis of metabolites, small molecules, nanoparticles, immune cells, and the (tumor) tissue microenvironment. We furthermore present examples of how IVM facilitates the elucidation of nanomedicine kinetics and targeting mechanisms, as well as of biological processes such as immune cell death, host-pathogen interactions, metabolic states, and disease progression. We conclude by discussing the prospects of IVM clinical translation and examining the integration of machine learning in future IVM practice.
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Kim Y, Cho M, Paulson B, Kim SH, Kim JK. Minimizing Motion Artifacts in Intravital Microscopy Using the Sedative Effect of Dexmedetomidine. MICROSCOPY AND MICROANALYSIS : THE OFFICIAL JOURNAL OF MICROSCOPY SOCIETY OF AMERICA, MICROBEAM ANALYSIS SOCIETY, MICROSCOPICAL SOCIETY OF CANADA 2022; 28:1-8. [PMID: 35599594 DOI: 10.1017/s1431927622000708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Among intravital imaging instruments, the intravital two-photon fluorescence excitation microscope has the advantage of enabling real-time 3D fluorescence imaging deep into cells and tissues, with reduced photobleaching and photodamage compared with conventional intravital confocal microscopes. However, excessive motion of organs due to involuntary movement such as breathing may result in out-of-focus images and severe fluorescence intensity fluctuations, which hinder meaningful imaging and analysis. The clinically approved alpha-2 adrenergic receptor agonist dexmedetomidine was administered to mice during two-photon fluorescence intravital imaging to alleviate this problem. As dexmedetomidine blocks the release of the neurotransmitter norepinephrine, pain is suppressed, blood pressure is reduced, and a sedation effect is observed. By tracking the quality of focus and stability of detected fluorescence in two-photon fluorescence images of fluorescein isothiocyanate-sensitized liver vasculature in vivo, we demonstrated that intravascular dexmedetomidine can reduce fluorescence fluctuations caused by respiration on a timescale of minutes in mice, improving image quality and resolution. The results indicate that short-term dexmedetomidine treatment is suitable for reducing involuntary motion in preclinical intravital imaging studies. This method may be applicable to other animal models.
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Affiliation(s)
- Youngkyu Kim
- Biomedical Engineering Research Center, Asan Medical Center, Seoul 05505, Republic of Korea
| | - Minju Cho
- Biomedical Engineering Research Center, Asan Medical Center, Seoul 05505, Republic of Korea
| | - Bjorn Paulson
- Biomedical Engineering Research Center, Asan Medical Center, Seoul 05505, Republic of Korea
| | - Sung-Hoon Kim
- Department of Anesthesiology and Pain Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-Gil, Songpa-gu, Seoul 05505, Republic of Korea
| | - Jun Ki Kim
- Biomedical Engineering Research Center, Asan Medical Center, Seoul 05505, Republic of Korea
- Department of Convergence Medicine, University of Ulsan, College of Medicine, 88, Olympic-ro 43-Gil, Seoul 05505, Republic of Korea
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Abstract
Fluorescence microscopy has represented a crucial technique to explore the cellular and molecular mechanisms in the field of biomedicine. However, the conventional one-photon microscopy exhibits many limitations when living samples are imaged. The new technologies, including two-photon microscopy (2PM), have considerably improved the in vivo study of pathophysiological processes, allowing the investigators to overcome the limits displayed by previous techniques. 2PM enables the real-time intravital imaging of the biological functions in different organs at cellular and subcellular resolution thanks to its improved laser penetration and less phototoxicity. The development of more sensitive detectors and long-wavelength fluorescent dyes as well as the implementation of semi-automatic software for data analysis allowed to gain insights in essential physiological functions, expanding the frontiers of cellular and molecular imaging. The future applications of 2PM are promising to push the intravital microscopy beyond the existing limits. In this review, we provide an overview of the current state-of-the-art methods of intravital microscopy, focusing on the most recent applications of 2PM in kidney physiology.
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12
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Live imaging of platelets and neutrophils during antibody-mediated neurovascular thrombosis. Blood Adv 2022; 6:3697-3702. [PMID: 35452514 PMCID: PMC9040505 DOI: 10.1182/bloodadvances.2021006728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 04/03/2022] [Indexed: 11/20/2022] Open
Abstract
Immune complexes form in systemic disorders such as rheumatological, autoimmune, and allergic diseases, or in response to infections or medications. SARS-CoV-2 adenoviral vector vaccines have been associated with rare, yet serious thrombotic complications in the brain due to the formation of immune complexes that activate platelets. There is currently no data visualizing the interplay of platelets with leukocytes and the brain vasculature endothelium in response to immune complexes. This is in part due to the absence of FcγRIIA in mice, a receptor for immune complexes implicated in these thrombotic incidents. Here, we describe and illustrate events at the cellular level that take place in the brain vasculature in response to systemic administration of surrogate immune complexes. We utilized Ly6gCre+/-::Rosa26-TdT+/-::CD41-YFP+/- mice expressing the FcγRIIA transgene and fluorescence in neutrophils and platelets. Using real-time videomicroscopy to capture high velocity events in conjunction with unbiased computer assisted analyses, we provide images and quantifications of the cellular responses downstream FcγRIIA stimulation. We observed transient and stable platelet-neutrophil interactions, platelets forming thrombi, and neutrophil adhesion to blood vessel walls. This imaging approach in a quadruple transgenic animal model can be utilized for the study of the pathogenic roles of immune complexes in disease.
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13
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Chawda C, McMorrow R, Gaspar N, Zambito G, Mezzanotte L. Monitoring Immune Cell Function Through Optical Imaging: a Review Highlighting Transgenic Mouse Models. Mol Imaging Biol 2022; 24:250-263. [PMID: 34735680 PMCID: PMC8983637 DOI: 10.1007/s11307-021-01662-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 09/29/2021] [Accepted: 09/30/2021] [Indexed: 11/17/2022]
Abstract
Transgenic mouse models have facilitated research of human diseases and validation of therapeutic approaches. Inclusion of optical reporter genes (fluorescent or bioluminescent genes) in the targeting vectors used to develop such models makes in vivo imaging of cellular and molecular events possible, from the microscale to the macroscale. In particular, transgenic mouse models expressing optical reporter genes allowed accurately distinguishing immune cell types from trafficking in vivo using intravital microscopy or whole-body optical imaging. Besides lineage tracing and trafficking of different subsets of immune cells, the ability to monitor the function of immune cells is of pivotal importance for investigating the effects of immunotherapies against cancer. Here, we introduce the reader to state-of-the-art approaches to develop transgenics, optical imaging techniques, and several notable examples of transgenic mouse models developed for immunology research by critically highlighting the models that allow the following of immune cell function.
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Affiliation(s)
- Chintan Chawda
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
- Department of Molecular Genetics, Erasmus MC, Rotterdam, The Netherlands
| | - Roisin McMorrow
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
- Department of Molecular Genetics, Erasmus MC, Rotterdam, The Netherlands
- Percuros B.V, Leiden, The Netherlands
| | - Natasa Gaspar
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
- Department of Molecular Genetics, Erasmus MC, Rotterdam, The Netherlands
- Percuros B.V, Leiden, The Netherlands
| | - Giorgia Zambito
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
- Department of Molecular Genetics, Erasmus MC, Rotterdam, The Netherlands
| | - Laura Mezzanotte
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.
- Department of Molecular Genetics, Erasmus MC, Rotterdam, The Netherlands.
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14
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Advanced Tumor Imaging Approaches in Human Tumors. Cancers (Basel) 2022; 14:cancers14061549. [PMID: 35326700 PMCID: PMC8945965 DOI: 10.3390/cancers14061549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 03/14/2022] [Accepted: 03/16/2022] [Indexed: 11/17/2022] Open
Abstract
The management of cancer has always relied heavily on the imaging modalities used to detect and monitor it. While many of these modalities have been around for decades, the technology surrounding them is always improving, and much has been discovered in recent years about the nature of tumors because of this. There have been several areas that have aided those discoveries. The use of artificial intelligence has already helped immensely in the quality of images taken but has not yet been widely implemented in clinical settings. Molecular imaging has proven to be useful in diagnosing different types of cancers based on the specificity of the probes/contrast agents used. Intravital imaging has already uncovered new information regarding the heterogeneity of the tumor vasculature. These three areas have provided a lot of useful information for the diagnosis and treatment of cancer, but further research and development in human trials is necessary to allow these techniques to fully utilize the information obtained thus far.
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15
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Bioimaging approaches for quantification of individual cell behavior during cell fate decisions. Biochem Soc Trans 2022; 50:513-527. [PMID: 35166330 DOI: 10.1042/bst20210534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 01/10/2022] [Accepted: 01/24/2022] [Indexed: 11/17/2022]
Abstract
Tracking individual cells has allowed a new understanding of cellular behavior in human health and disease by adding a dynamic component to the already complex heterogeneity of single cells. Technically, despite countless advances, numerous experimental variables can affect data collection and interpretation and need to be considered. In this review, we discuss the main technical aspects and biological findings in the analysis of the behavior of individual cells. We discuss the most relevant contributions provided by these approaches in clinically relevant human conditions like embryo development, stem cells biology, inflammation, cancer and microbiology, along with the cellular mechanisms and molecular pathways underlying these conditions. We also discuss the key technical aspects to be considered when planning and performing experiments involving the analysis of individual cells over long periods. Despite the challenges in automatic detection, features extraction and long-term tracking that need to be tackled, the potential impact of single-cell bioimaging is enormous in understanding the pathogenesis and development of new therapies in human pathophysiology.
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16
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Pizzagalli DU, Pulfer A, Thelen M, Krause R, Gonzalez SF. In Vivo Motility Patterns Displayed by Immune Cells Under Inflammatory Conditions. Front Immunol 2022; 12:804159. [PMID: 35046959 PMCID: PMC8762290 DOI: 10.3389/fimmu.2021.804159] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 11/26/2021] [Indexed: 11/13/2022] Open
Abstract
The migration of immune cells plays a key role in inflammation. This is evident in the fact that inflammatory stimuli elicit a broad range of migration patterns in immune cells. Since these patterns are pivotal for initiating the immune response, their dysregulation is associated with life-threatening conditions including organ failure, chronic inflammation, autoimmunity, and cancer, amongst others. Over the last two decades, thanks to advancements in the intravital microscopy technology, it has become possible to visualize cell migration in living organisms with unprecedented resolution, helping to deconstruct hitherto unexplored aspects of the immune response associated with the dynamism of cells. However, a comprehensive classification of the main motility patterns of immune cells observed in vivo, along with their relevance to the inflammatory process, is still lacking. In this review we defined cell actions as motility patterns displayed by immune cells, which are associated with a specific role during the immune response. In this regard, we summarize the main actions performed by immune cells during intravital microscopy studies. For each of these actions, we provide a consensus name, a definition based on morphodynamic properties, and the biological contexts in which it was reported. Moreover, we provide an overview of the computational methods that were employed for the quantification, fostering an interdisciplinary approach to study the immune system from imaging data.
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Affiliation(s)
- Diego Ulisse Pizzagalli
- Istituto di Ricerca in Biomedicina (IRB), Università della Svizzera italiana, Bellinzona, Switzerland
- Euler institute, Università della Svizzera italiana, Lugano-Viganello, Switzerland
| | - Alain Pulfer
- Istituto di Ricerca in Biomedicina (IRB), Università della Svizzera italiana, Bellinzona, Switzerland
- Department of Information Technology and Electrical Engineering, Swiss Federal Institute of Technology Zurich (ETHZ) Zürich, Zürich, Switzerland
| | - Marcus Thelen
- Istituto di Ricerca in Biomedicina (IRB), Università della Svizzera italiana, Bellinzona, Switzerland
| | - Rolf Krause
- Euler institute, Università della Svizzera italiana, Lugano-Viganello, Switzerland
| | - Santiago F. Gonzalez
- Istituto di Ricerca in Biomedicina (IRB), Università della Svizzera italiana, Bellinzona, Switzerland
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17
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Hickey SM, Ung B, Bader C, Brooks R, Lazniewska J, Johnson IRD, Sorvina A, Logan J, Martini C, Moore CR, Karageorgos L, Sweetman MJ, Brooks DA. Fluorescence Microscopy-An Outline of Hardware, Biological Handling, and Fluorophore Considerations. Cells 2021; 11:35. [PMID: 35011596 PMCID: PMC8750338 DOI: 10.3390/cells11010035] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 12/21/2021] [Accepted: 12/21/2021] [Indexed: 12/16/2022] Open
Abstract
Fluorescence microscopy has become a critical tool for researchers to understand biological processes at the cellular level. Micrographs from fixed and live-cell imaging procedures feature in a plethora of scientific articles for the field of cell biology, but the complexities of fluorescence microscopy as an imaging tool can sometimes be overlooked or misunderstood. This review seeks to cover the three fundamental considerations when designing fluorescence microscopy experiments: (1) hardware availability; (2) amenability of biological models to fluorescence microscopy; and (3) suitability of imaging agents for intended applications. This review will help equip the reader to make judicious decisions when designing fluorescence microscopy experiments that deliver high-resolution and informative images for cell biology.
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Affiliation(s)
- Shane M. Hickey
- Clinical and Health Sciences, University of South Australia, Adelaide 5000, Australia; (C.B.); (R.B.); (J.L.); (I.R.D.J.); (A.S.); (J.L.); (C.M.); (C.R.M.); (L.K.); (M.J.S.); (D.A.B.)
| | - Ben Ung
- Clinical and Health Sciences, University of South Australia, Adelaide 5000, Australia; (C.B.); (R.B.); (J.L.); (I.R.D.J.); (A.S.); (J.L.); (C.M.); (C.R.M.); (L.K.); (M.J.S.); (D.A.B.)
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18
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Dunn KW. Digital Image Analysis Tools Developed by the Indiana O'Brien Center. Front Physiol 2021; 12:812170. [PMID: 34975549 PMCID: PMC8716822 DOI: 10.3389/fphys.2021.812170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 11/29/2021] [Indexed: 11/13/2022] Open
Abstract
The scale and complexity of images collected in biological microscopy have grown enormously over the past 30 years. The development and commercialization of multiphoton microscopy has promoted a renaissance of intravital microscopy, providing a window into cell biology in vivo. New methods of optical sectioning and tissue clearing now enable biologists to characterize entire organs at subcellular resolution. New methods of multiplexed imaging support simultaneous localization of forty or more probes at a time. Exploiting these exciting new techniques has increasingly required biomedical researchers to master procedures of image analysis that were once the specialized province of imaging experts. A primary goal of the Indiana O'Brien Center has been to develop robust and accessible image analysis tools for biomedical researchers. Here we describe biomedical image analysis software developed by the Indiana O'Brien Center over the past 25 years.
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Affiliation(s)
- Kenneth W. Dunn
- Division of Nephrology, Indiana University School of Medicine, Indianapolis, IN, United States
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19
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Moyle LA, Davoudi S, Gilbert PM. Innovation in culture systems to study muscle complexity. Exp Cell Res 2021; 411:112966. [PMID: 34906582 DOI: 10.1016/j.yexcr.2021.112966] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 10/31/2021] [Accepted: 12/04/2021] [Indexed: 11/19/2022]
Abstract
Endogenous skeletal muscle development, regeneration, and pathology are extremely complex processes, influenced by local and systemic factors. Unpinning how these mechanisms function is crucial for fundamental biology and to develop therapeutic interventions for genetic disorders, but also conditions like sarcopenia and volumetric muscle loss. Ex vivo skeletal muscle models range from two- and three-dimensional primary cultures of satellite stem cell-derived myoblasts grown alone or in co-culture, to single muscle myofibers, myobundles, and whole tissues. Together, these systems provide the opportunity to gain mechanistic insights of stem cell behavior, cell-cell interactions, and mature muscle function in simplified systems, without confounding variables. Here, we highlight recent advances (published in the last 5 years) using in vitro primary cells and ex vivo skeletal muscle models, and summarize the new insights, tools, datasets, and screening methods they have provided. Finally, we highlight the opportunity for exponential advance of skeletal muscle knowledge, with spatiotemporal resolution, that is offered by guiding the study of muscle biology and physiology with in silico modelling and implementing high-content cell biology systems and ex vivo physiology platforms.
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Affiliation(s)
- Louise A Moyle
- Institute of Biomedical Engineering, Toronto, ON, M5S 3G9, Canada; Donnelly Centre for Cellular and Biomolecular Research, Toronto, ON, M5S 3E1, Canada
| | - Sadegh Davoudi
- Institute of Biomedical Engineering, Toronto, ON, M5S 3G9, Canada; Donnelly Centre for Cellular and Biomolecular Research, Toronto, ON, M5S 3E1, Canada
| | - Penney M Gilbert
- Institute of Biomedical Engineering, Toronto, ON, M5S 3G9, Canada; Donnelly Centre for Cellular and Biomolecular Research, Toronto, ON, M5S 3E1, Canada; Department of Cell and Systems Biology, University of Toronto, Toronto, ON, M5S 1A8, Canada.
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20
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Duckworth BC, Qin RZ, Groom JR. Spatial determinates of effector and memory CD8 + T cell fates. Immunol Rev 2021; 306:76-92. [PMID: 34882817 DOI: 10.1111/imr.13044] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 11/06/2021] [Indexed: 12/17/2022]
Abstract
The lymph node plays a critical role in mounting an adaptive immune response to infection, clearance of foreign pathogens, and cancer immunosurveillance. Within this complex structure, intranodal migration is vital for CD8+ T cell activation and differentiation. Combining tissue clearing and volumetric light sheet fluorescent microscopy of intact lymph nodes has allowed us to explore the spatial regulation of T cell fates. This has determined that short-lived effector (TSLEC ) are imprinted in peripheral lymph node interfollicular regions, due to CXCR3 migration. In contrast, stem-like memory cell (TSCM ) differentiation is determined in the T cell paracortex. Here, we detail the inflammatory and chemokine regulators of spatially restricted T cell differentiation, with a focus on how to promote TSCM . We propose a default pathway for TSCM differentiation due to CCR7-directed segregation of precursors away from the inflammatory effector niche. Although volumetric imaging has revealed the consequences of intranodal migration, we still lack knowledge of how this is orchestrated within a complex chemokine environment. Toward this goal, we highlight the potential of combining microfluidic chambers with pre-determined complexity and subcellular resolution microscopy.
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Affiliation(s)
- Brigette C Duckworth
- Division of Immunology, Walter and Eliza Hall Institute of Medical Research, Parkville, Vic, Australia.,Department of Medical Biology, University of Melbourne, Parkville, Vic, Australia
| | - Raymond Z Qin
- Division of Immunology, Walter and Eliza Hall Institute of Medical Research, Parkville, Vic, Australia.,Department of Medical Biology, University of Melbourne, Parkville, Vic, Australia
| | - Joanna R Groom
- Division of Immunology, Walter and Eliza Hall Institute of Medical Research, Parkville, Vic, Australia.,Department of Medical Biology, University of Melbourne, Parkville, Vic, Australia
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21
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Tandon I, Quinn KP, Balachandran K. Label-Free Multiphoton Microscopy for the Detection and Monitoring of Calcific Aortic Valve Disease. Front Cardiovasc Med 2021; 8:688513. [PMID: 34179147 PMCID: PMC8226007 DOI: 10.3389/fcvm.2021.688513] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 05/17/2021] [Indexed: 12/12/2022] Open
Abstract
Calcific aortic valve disease (CAVD) is the most common valvular heart disease. CAVD results in a considerable socio-economic burden, especially considering the aging population in Europe and North America. The only treatment standard is surgical valve replacement as early diagnostic, mitigation, and drug strategies remain underdeveloped. Novel diagnostic techniques and biomarkers for early detection and monitoring of CAVD progression are thus a pressing need. Additionally, non-destructive tools are required for longitudinal in vitro and in vivo assessment of CAVD initiation and progression that can be translated into clinical practice in the future. Multiphoton microscopy (MPM) facilitates label-free and non-destructive imaging to obtain quantitative, optical biomarkers that have been shown to correlate with key events during CAVD progression. MPM can also be used to obtain spatiotemporal readouts of metabolic changes that occur in the cells. While cellular metabolism has been extensively explored for various cardiovascular disorders like atherosclerosis, hypertension, and heart failure, and has shown potential in elucidating key pathophysiological processes in heart valve diseases, it has yet to gain traction in the study of CAVD. Furthermore, MPM also provides structural, functional, and metabolic readouts that have the potential to correlate with key pathophysiological events in CAVD progression. This review outlines the applicability of MPM and its derived quantitative metrics for the detection and monitoring of early CAVD progression. The review will further focus on the MPM-detectable metabolic biomarkers that correlate with key biological events during valve pathogenesis and their potential role in assessing CAVD pathophysiology.
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Affiliation(s)
- Ishita Tandon
- Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR, United States
| | - Kyle P Quinn
- Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR, United States
| | - Kartik Balachandran
- Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR, United States
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22
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Murphy KJ, Reed DA, Trpceski M, Herrmann D, Timpson P. Quantifying and visualising the nuances of cellular dynamics in vivo using intravital imaging. Curr Opin Cell Biol 2021; 72:41-53. [PMID: 34091131 DOI: 10.1016/j.ceb.2021.04.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 04/23/2021] [Accepted: 04/28/2021] [Indexed: 12/14/2022]
Abstract
Intravital imaging is a powerful technology used to quantify and track dynamic changes in live cells and tissues within an intact environment. The ability to watch cell biology in real-time 'as it happens' has provided novel insight into tissue homeostasis, as well as disease initiation, progression and response to treatment. In this minireview, we highlight recent advances in the field of intravital microscopy, touching upon advances in awake versus anaesthesia-based approaches, as well as the integration of biosensors into intravital imaging. We also discuss current challenges that, in our opinion, need to be overcome to further advance the field of intravital imaging at the single-cell, subcellular and molecular resolution to reveal nuances of cell behaviour that can be targeted in complex disease settings.
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Affiliation(s)
- Kendelle J Murphy
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Cancer Theme, Sydney, NSW, 2010, Australia; St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW, 2010, Australia
| | - Daniel A Reed
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Cancer Theme, Sydney, NSW, 2010, Australia; St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW, 2010, Australia
| | - Michael Trpceski
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Cancer Theme, Sydney, NSW, 2010, Australia
| | - David Herrmann
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Cancer Theme, Sydney, NSW, 2010, Australia; St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW, 2010, Australia.
| | - Paul Timpson
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Cancer Theme, Sydney, NSW, 2010, Australia; St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW, 2010, Australia.
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23
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Taranda J, Turcan S. 3D Whole-Brain Imaging Approaches to Study Brain Tumors. Cancers (Basel) 2021; 13:cancers13081897. [PMID: 33920839 PMCID: PMC8071100 DOI: 10.3390/cancers13081897] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 04/05/2021] [Accepted: 04/09/2021] [Indexed: 02/06/2023] Open
Abstract
Simple Summary Brain tumors integrate into the brain and consist of tumor cells with different molecular alterations. During brain tumor pathogenesis, a variety of cell types surround the tumors to either inhibit or promote tumor growth. These cells are collectively referred to as the tumor microenvironment. Three-dimensional and/or longitudinal visualization approaches are needed to understand the growth of these tumors in time and space. In this review, we present three imaging modalities that are suitable or that can be adapted to study the volumetric distribution of malignant or tumor-associated cells in the brain. In addition, we highlight the potential clinical utility of some of the microscopy approaches for brain tumors using exemplars from solid tumors. Abstract Although our understanding of the two-dimensional state of brain tumors has greatly expanded, relatively little is known about their spatial structures. The interactions between tumor cells and the tumor microenvironment (TME) occur in a three-dimensional (3D) space. This volumetric distribution is important for elucidating tumor biology and predicting and monitoring response to therapy. While static 2D imaging modalities have been critical to our understanding of these tumors, studies using 3D imaging modalities are needed to understand how malignant cells co-opt the host brain. Here we summarize the preclinical utility of in vivo imaging using two-photon microscopy in brain tumors and present ex vivo approaches (light-sheet fluorescence microscopy and serial two-photon tomography) and highlight their current and potential utility in neuro-oncology using data from solid tumors or pathological brain as examples.
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24
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Zherebtsov E, Zajnulina M, Kandurova K, Potapova E, Dremin V, Mamoshin A, Sokolovski S, Dunaev A, Rafailov EU. Machine Learning Aided Photonic Diagnostic System for Minimally Invasive Optically Guided Surgery in the Hepatoduodenal Area. Diagnostics (Basel) 2020; 10:E873. [PMID: 33121013 PMCID: PMC7693603 DOI: 10.3390/diagnostics10110873] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 10/19/2020] [Accepted: 10/24/2020] [Indexed: 12/29/2022] Open
Abstract
Abdominal cancer is a widely prevalent group of tumours with a high level of mortality if diagnosed at a late stage. Although the cancer death rates have in general declined over the past few decades, the mortality from tumours in the hepatoduodenal area has significantly increased in recent years. The broader use of minimal access surgery (MAS) for diagnostics and treatment can significantly improve the survival rate and quality of life of patients after surgery. This work aims to develop and characterise an appropriate technical implementation for tissue endogenous fluorescence (TEF) and assess the efficiency of machine learning methods for the real-time diagnosis of tumours in the hepatoduodenal area. In this paper, we present the results of the machine learning approach applied to the optically guided MAS. We have elaborated tissue fluorescence approach with a fibre-optic probe to record the TEF and blood perfusion parameters during MAS in patients with cancers in the hepatoduodenal area. The measurements from the laser Doppler flowmetry (LDF) channel were used as a sensor of the tissue vitality to reduce variability in TEF data. Also, we evaluated how the blood perfusion oscillations are changed in the tumour tissue. The evaluated amplitudes of the cardiac (0.6-1.6 Hz) and respiratory (0.2-0.6 Hz) oscillations was significantly higher in intact tissues (p < 0.001) compared to the cancerous ones, while the myogenic (0.2-0.06 Hz) oscillation did not demonstrate any statistically significant difference. Our results demonstrate that a fibre-optic TEF probe accompanied with ML algorithms such as k-Nearest Neighbours or AdaBoost is highly promising for the real-time in situ differentiation between cancerous and healthy tissues by detecting the information about the tissue type that is encoded in the fluorescence spectrum. Also, we show that the detection can be supplemented and enhanced by parallel collection and classification of blood perfusion oscillations.
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Affiliation(s)
- Evgeny Zherebtsov
- Research and Development Center of Biomedical Photonics, Orel State University, 302026 Orel, Russia; (K.K.); (E.P.); (V.D.); (A.M.); (A.D.)
- Faculty of Information Technology and Electrical Engineering, University of Oulu, Optoelectronics and Measurement Techniques Unit, 90570 Oulu, Finland
| | - Marina Zajnulina
- Aston Institute of Photonic Technologies, Aston University, Birmingham B4 7ET, UK; (M.Z.); (S.S.); (E.U.R.)
| | - Ksenia Kandurova
- Research and Development Center of Biomedical Photonics, Orel State University, 302026 Orel, Russia; (K.K.); (E.P.); (V.D.); (A.M.); (A.D.)
| | - Elena Potapova
- Research and Development Center of Biomedical Photonics, Orel State University, 302026 Orel, Russia; (K.K.); (E.P.); (V.D.); (A.M.); (A.D.)
| | - Viktor Dremin
- Research and Development Center of Biomedical Photonics, Orel State University, 302026 Orel, Russia; (K.K.); (E.P.); (V.D.); (A.M.); (A.D.)
- Aston Institute of Photonic Technologies, Aston University, Birmingham B4 7ET, UK; (M.Z.); (S.S.); (E.U.R.)
| | - Andrian Mamoshin
- Research and Development Center of Biomedical Photonics, Orel State University, 302026 Orel, Russia; (K.K.); (E.P.); (V.D.); (A.M.); (A.D.)
- Department of X-ray Surgical Methods of Diagnosis and Treatment, Orel Regional Clinical Hospital, 302028 Orel, Russia
| | - Sergei Sokolovski
- Aston Institute of Photonic Technologies, Aston University, Birmingham B4 7ET, UK; (M.Z.); (S.S.); (E.U.R.)
| | - Andrey Dunaev
- Research and Development Center of Biomedical Photonics, Orel State University, 302026 Orel, Russia; (K.K.); (E.P.); (V.D.); (A.M.); (A.D.)
| | - Edik U. Rafailov
- Aston Institute of Photonic Technologies, Aston University, Birmingham B4 7ET, UK; (M.Z.); (S.S.); (E.U.R.)
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