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Lu Z, Zuo S, Shi M, Fan J, Xie J, Xiao G, Yu L, Wu J, Dai Q. Long-term intravital subcellular imaging with confocal scanning light-field microscopy. Nat Biotechnol 2024:10.1038/s41587-024-02249-5. [PMID: 38802562 DOI: 10.1038/s41587-024-02249-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Accepted: 04/17/2024] [Indexed: 05/29/2024]
Abstract
Long-term observation of subcellular dynamics in living organisms is limited by background fluorescence originating from tissue scattering or dense labeling. Existing confocal approaches face an inevitable tradeoff among parallelization, resolution and phototoxicity. Here we present confocal scanning light-field microscopy (csLFM), which integrates axially elongated line-confocal illumination with the rolling shutter in scanning light-field microscopy (sLFM). csLFM enables high-fidelity, high-speed, three-dimensional (3D) imaging at near-diffraction-limit resolution with both optical sectioning and low phototoxicity. By simultaneous 3D excitation and detection, the excitation intensity can be reduced below 1 mW mm-2, with 15-fold higher signal-to-background ratio over sLFM. We imaged subcellular dynamics over 25,000 timeframes in optically challenging environments in different species, such as migrasome delivery in mouse spleen, retractosome generation in mouse liver and 3D voltage imaging in Drosophila. Moreover, csLFM facilitates high-fidelity, large-scale neural recording with reduced crosstalk, leading to high orientation selectivity to visual stimuli, similar to two-photon microscopy, which aids understanding of neural coding mechanisms.
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Affiliation(s)
- Zhi Lu
- Department of Automation, Tsinghua University, Beijing, China
- Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China
- Beijing Key Laboratory of Multi-dimension & Multi-scale Computational Photography (MMCP), Tsinghua University, Beijing, China
- IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China
- Zhejiang Hehu Technology, Hangzhou, China
- Hangzhou Zhuoxi Institute of Brain and Intelligence, Hangzhou, China
| | - Siqing Zuo
- Department of Automation, Tsinghua University, Beijing, China
- Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China
- Beijing Key Laboratory of Multi-dimension & Multi-scale Computational Photography (MMCP), Tsinghua University, Beijing, China
- IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China
| | - Minghui Shi
- State Key Laboratory of Membrane Biology, Tsinghua University-Peking University Joint Center for Life Sciences, Beijing Frontier Research Center for Biological Structure, School of Life Sciences, Tsinghua University, Beijing, China
| | - Jiaqi Fan
- Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China
- Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China
| | - Jingyu Xie
- Department of Automation, Tsinghua University, Beijing, China
- Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China
| | - Guihua Xiao
- Department of Automation, Tsinghua University, Beijing, China
- Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China
| | - Li Yu
- State Key Laboratory of Membrane Biology, Tsinghua University-Peking University Joint Center for Life Sciences, Beijing Frontier Research Center for Biological Structure, School of Life Sciences, Tsinghua University, Beijing, China.
| | - Jiamin Wu
- Department of Automation, Tsinghua University, Beijing, China.
- Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China.
- Beijing Key Laboratory of Multi-dimension & Multi-scale Computational Photography (MMCP), Tsinghua University, Beijing, China.
- IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China.
- Shanghai AI Laboratory, Shanghai, China.
| | - Qionghai Dai
- Department of Automation, Tsinghua University, Beijing, China.
- Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China.
- Beijing Key Laboratory of Multi-dimension & Multi-scale Computational Photography (MMCP), Tsinghua University, Beijing, China.
- IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China.
- Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China.
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Shirazi A, Sahraeibelverdi T, Lee M, Li H, Yu J, Jaiswal S, Oldham KR, Wang TD. Miniature side-view dual axes confocal endomicroscope for repetitive in vivo imaging. BIOMEDICAL OPTICS EXPRESS 2023; 14:4277-4295. [PMID: 37799693 PMCID: PMC10549747 DOI: 10.1364/boe.494210] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 06/17/2023] [Accepted: 06/28/2023] [Indexed: 10/07/2023]
Abstract
A side-view dual axes confocal endomicroscope is demonstrated that can be inserted repetitively in hollow organs of genetically engineered mice for in vivo real-time imaging in horizontal and vertical planes. Near infrared (NIR) excitation at λex = 785 nm was used. A monolithic 3-axis parametric resonance scan mirror was fabricated using micro-electro-mechanical systems (MEMS) technology to perform post-objective scanning in the distal end of a 4.19 mm diameter instrument. Torsional and serpentine springs were designed to "switch" the mode of imaging between vertical and horizontal planes by tuning the actuation frequency. This system demonstrated real-time in-vivo images in horizontal and vertical planes with 310 µm depth and 1.75 and 7.5 µm lateral and axial resolution. Individual cells and discrete mucosal structures could be identified.
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Affiliation(s)
- Ahmad Shirazi
- Division of Integrative Systems and Design,
University of Michigan, Ann Arbor, MI
48109, USA
| | | | - Miki Lee
- Department of Internal Medicine, Division
of Gastroenterology, University of
Michigan, Ann Arbor, MI 48109, USA
| | - Haijun Li
- Department of Internal Medicine, Division
of Gastroenterology, University of
Michigan, Ann Arbor, MI 48109, USA
| | - Joonyoung Yu
- Department of Mechanical Engineering,
University of Michigan, Ann Arbor, MI
48109, USA
| | - Sangeeta Jaiswal
- Department of Internal Medicine, Division
of Gastroenterology, University of
Michigan, Ann Arbor, MI 48109, USA
| | - Kenn R Oldham
- Department of Mechanical Engineering,
University of Michigan, Ann Arbor, MI
48109, USA
| | - Thomas D Wang
- Department of Mechanical Engineering,
University of Michigan, Ann Arbor, MI
48109, USA
- Department of Internal Medicine, Division
of Gastroenterology, University of
Michigan, Ann Arbor, MI 48109, USA
- Department of Biomedical Engineering,
University of Michigan, Ann Arbor, MI
48109, USA
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3
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Ushakov DS, Finke S. Tissue optical clearing and 3D imaging of virus infections. Adv Virus Res 2023; 116:89-121. [PMID: 37524483 DOI: 10.1016/bs.aivir.2023.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/02/2023]
Abstract
Imaging pathogens within 3D environment of biological tissues provides spatial information about their localization and interactions with the host. Technological advances in fluorescence microscopy and 3D image analysis now permit visualization and quantification of pathogens directly in large tissue volumes and in great detail. In recent years large volume imaging became an important tool in virology research helping to understand the properties of viruses and the host response to infection. In this chapter we give a review of fluorescence microscopy modalities and tissue optical clearing methods used for large volume tissue imaging. A summary of recent applications for virus research is provided with particular emphasis on studies using light sheet fluorescence microscopy. We describe the challenges and approaches for volumetric image analysis. Practical examples of volumetric imaging implemented in virology laboratories and addressing specialized research questions, such as virus tropism and immune host response are described. We conclude with an overview of the emerging technologies and their potential for virus research.
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Affiliation(s)
- Dmitry S Ushakov
- Institute for Molecular Virology and Cell Biology, Friedrich-Loeffler-Institut, Greifswald-Insel Riems, Germany.
| | - Stefan Finke
- Institute for Molecular Virology and Cell Biology, Friedrich-Loeffler-Institut, Greifswald-Insel Riems, Germany
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Honda M, Kadohisa M, Yoshii D, Komohara Y, Hibi T. Intravital imaging of immune responses in intestinal inflammation. Inflamm Regen 2023; 43:9. [PMID: 36737792 PMCID: PMC9896837 DOI: 10.1186/s41232-023-00262-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Accepted: 01/29/2023] [Indexed: 02/05/2023] Open
Abstract
To date, many kinds of immune cells have been identified, but their precise roles in intestinal immunity remain unclear. Understanding the in vivo behavior of these immune cells and their function in gastrointestinal inflammation, including colitis, inflammatory bowel disease, ischemia-reperfusion injury, and neutrophil extracellular traps, is critical for gastrointestinal research to proceed to the next step. Additionally, understanding the immune responses involved in gastrointestinal tumors and tissue repair is becoming increasingly important for the elucidation of disease mechanisms that have been unknown. In recent years, the application of intravital microscopy in gastrointestinal research has provided novel insights into the mechanisms of intestine-specific events including innate and adaptive immunities. In this review, we focus on the emerging role of intravital imaging in gastrointestinal research and describe how to observe the intestines and immune cells using intravital microscopy. Additionally, we outline novel findings obtained by this new technique.
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Affiliation(s)
- Masaki Honda
- grid.274841.c0000 0001 0660 6749Department of Pediatric Surgery and Transplantation, Kumamoto University Graduate School of Medical Sciences, 1-1-1 Honjo, Chuo-Ku, Kumamoto, 860-8556 Japan
| | - Masashi Kadohisa
- grid.274841.c0000 0001 0660 6749Department of Pediatric Surgery and Transplantation, Kumamoto University Graduate School of Medical Sciences, 1-1-1 Honjo, Chuo-Ku, Kumamoto, 860-8556 Japan
| | - Daiki Yoshii
- grid.411152.20000 0004 0407 1295Department of Diagnostic Pathology, Kumamoto University Hospital, Kumamoto, Japan
| | - Yoshihiro Komohara
- grid.274841.c0000 0001 0660 6749Department of Cell Pathology, Kumamoto University Graduate School of Medical Sciences, Kumamoto, Japan
| | - Taizo Hibi
- grid.274841.c0000 0001 0660 6749Department of Pediatric Surgery and Transplantation, Kumamoto University Graduate School of Medical Sciences, 1-1-1 Honjo, Chuo-Ku, Kumamoto, 860-8556 Japan
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Chan CJ, Hirashima T. Tissue hydraulics in reproduction. Semin Cell Dev Biol 2022; 131:124-133. [PMID: 35606275 DOI: 10.1016/j.semcdb.2022.05.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 05/12/2022] [Accepted: 05/13/2022] [Indexed: 12/14/2022]
Abstract
The development of functional eggs and sperm are critical processes in mammalian development as they ensure successful reproduction and species propagation. While past studies have identified important genes that regulate these processes, the roles of luminal flow and fluid stress in reproductive biology remain less well understood. Here, we discuss recent evidence that support the diverse functions of luminal fluid in oogenesis, spermatogenesis and embryogenesis. We also review emerging techniques that allow for precise quantification and perturbation of tissue hydraulics in female and male reproductive systems, and propose new questions and approaches in this field. We hope this review will provide a useful resource to inspire future research in tissue hydraulics in reproductive biology and diseases.
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Affiliation(s)
- Chii Jou Chan
- Mechanobiology Institute, National University of Singapore, Singapore; Department of Biological Sciences, National University of Singapore, Singapore.
| | - Tsuyoshi Hirashima
- Mechanobiology Institute, National University of Singapore, Singapore; Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; The Hakubi Center/Graduate School of Biostudies, Kyoto University, Kyoto, Japan; Japan Science and Technology Agency, PRESTO, Kawaguchi, Japan.
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Poitout-Belissent F, Vitsky A, Smith MA, Sirivelu MP. Methodologies and Emerging Technologies for the Evaluation of the Hematopoietic System. Toxicol Pathol 2022; 50:867-870. [DOI: 10.1177/01926233221128755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Hematology and bone marrow analysis is central to our understanding of the hematopoietic system and how it responds to insults, and this session presented during the 2022 STP symposium provided a review of current and novel approaches for the evaluation of the hematopoietic system in the context of nonclinical investigations. This publication summarizes the information presented on novel approaches for evaluation of the hematopoietic system using automated hematology analyzers, including details around the quantitative assessment of bone marrow cell suspensions as well as introducing several newly available hematology parameters. It was followed by a discussion on intravital microscopy and live cell imaging and how these methods can assist with de-risking hematopoiesis-associated safety concerns, and a review of recent assays using artificial intelligence for the evaluation of bone marrow.
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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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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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