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André M, Dinvaut S, Castellani V, Falk J. 3D exploration of gene expression in chicken embryos through combined RNA fluorescence in situ hybridization, immunofluorescence, and clearing. BMC Biol 2024; 22:131. [PMID: 38831263 PMCID: PMC11149291 DOI: 10.1186/s12915-024-01922-0] [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: 07/06/2023] [Accepted: 05/16/2024] [Indexed: 06/05/2024] Open
Abstract
BACKGROUND Fine characterization of gene expression patterns is crucial to understand many aspects of embryonic development. The chicken embryo is a well-established and valuable animal model for developmental biology. The period spanning from the third to sixth embryonic days (E3 to E6) is critical for many organ developments. Hybridization chain reaction RNA fluorescent in situ hybridization (HCR RNA-FISH) enables multiplex RNA detection in thick samples including embryos of various animal models. However, its use is limited by tissue opacity. RESULTS We optimized HCR RNA-FISH protocol to efficiently label RNAs in whole mount chicken embryos from E3.5 to E5.5 and adapted it to ethyl cinnamate (ECi) tissue clearing. We show that light sheet imaging of HCR RNA-FISH after ECi clearing allows RNA expression analysis within embryonic tissues with good sensitivity and spatial resolution. Finally, whole mount immunofluorescence can be performed after HCR RNA-FISH enabling as exemplified to assay complex spatial relationships between axons and their environment or to monitor GFP electroporated neurons. CONCLUSIONS We could extend the use of HCR RNA-FISH to older chick embryos by optimizing HCR RNA-FISH and combining it with tissue clearing and 3D imaging. The integration of immunostaining makes possible to combine gene expression with classical cell markers, to correlate expressions with morphological differentiation and to depict gene expressions in gain or loss of function contexts. Altogether, this combined procedure further extends the potential of HCR RNA-FISH technique for chicken embryology.
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Affiliation(s)
- Maëlys André
- MeLiS, CNRS UMR 5284 - INSERM U1314, Université Claude Bernard Lyon 1, 8 avenue Rockefeller, 69008, Lyon, France.
| | - Sarah Dinvaut
- MeLiS, CNRS UMR 5284 - INSERM U1314, Université Claude Bernard Lyon 1, 8 avenue Rockefeller, 69008, Lyon, France
| | - Valérie Castellani
- MeLiS, CNRS UMR 5284 - INSERM U1314, Université Claude Bernard Lyon 1, 8 avenue Rockefeller, 69008, Lyon, France
| | - Julien Falk
- MeLiS, CNRS UMR 5284 - INSERM U1314, Université Claude Bernard Lyon 1, 8 avenue Rockefeller, 69008, Lyon, France.
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2
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Marrett K, Moradi K, Park CS, Yan M, Choi C, Zhu M, Akram M, Nanda S, Xue Q, Mun HS, Gutierrez AE, Rudd M, Zingg B, Magat G, Wijaya K, Dong H, Yang XW, Cong J. Gossamer: Scaling Image Processing and Reconstruction to Whole Brains. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.07.588466. [PMID: 38645196 PMCID: PMC11030332 DOI: 10.1101/2024.04.07.588466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Neuronal reconstruction-a process that transforms image volumes into 3D geometries and skeletons of cells-bottlenecks the study of brain function, connectomics and pathology. Domain scientists need exact and complete segmentations to study subtle topological differences. Existing methods are diskbound, dense-access, coupled, single-threaded, algorithmically unscalable and require manual cropping of small windows and proofreading of skeletons due to low topological accuracy. Designing a data-intensive parallel solution suited to a neurons' shape, topology and far-ranging connectivity is particularly challenging due to I/O and load-balance, yet by abstracting these vision tasks into strategically ordered specializations of search, we progressively lower memory by 4 orders of magnitude. This enables 1 mouse brain to be fully processed in-memory on a single server, at 67× the scale with 870× less memory while having 78% higher automated yield than APP2, the previous state of the art in performant reconstruction.
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Affiliation(s)
| | | | - Chris Sin Park
- Department of Computer Science, School of Medicine, University of California Los Angeles
| | - Ming Yan
- Department of Computer Science, School of Medicine, University of California Los Angeles
| | - Chris Choi
- Department of Computer Science, School of Medicine, University of California Los Angeles
| | - Muye Zhu
- Department of Computer Science, School of Medicine, University of California Los Angeles
| | - Masood Akram
- Department of Computer Science, School of Medicine, University of California Los Angeles
| | - Sumit Nanda
- Department of Computer Science, School of Medicine, University of California Los Angeles
| | - Qing Xue
- Department of Computer Science, School of Medicine, University of California Los Angeles
| | - Hyun-Seung Mun
- Department of Computer Science, School of Medicine, University of California Los Angeles
| | - Adriana E. Gutierrez
- Department of Computer Science, School of Medicine, University of California Los Angeles
| | - Mitchell Rudd
- Department of Computer Science, School of Medicine, University of California Los Angeles
| | - Brian Zingg
- Department of Computer Science, School of Medicine, University of California Los Angeles
| | - Gabrielle Magat
- Department of Computer Science, School of Medicine, University of California Los Angeles
| | - Kathleen Wijaya
- Department of Computer Science, School of Medicine, University of California Los Angeles
| | - Hongwei Dong
- Department of Computer Science, School of Medicine, University of California Los Angeles
| | - X. William Yang
- Department of Computer Science, School of Medicine, University of California Los Angeles
| | - Jason Cong
- Department of Computer Science, School of Medicine, University of California Los Angeles
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3
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Julia A, Iguernaissi R, Michel FJ, Matarazzo V, Merad D. Distortion Correction and Denoising of Light Sheet Fluorescence Images. SENSORS (BASEL, SWITZERLAND) 2024; 24:2053. [PMID: 38610265 PMCID: PMC11014158 DOI: 10.3390/s24072053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 03/14/2024] [Accepted: 03/20/2024] [Indexed: 04/14/2024]
Abstract
Light Sheet Fluorescence Microscopy (LSFM) has emerged as a valuable tool for neurobiologists, enabling the rapid and high-quality volumetric imaging of mice brains. However, inherent artifacts and distortions introduced during the imaging process necessitate careful enhancement of LSFM images for optimal 3D reconstructions. This work aims to correct images slice by slice before reconstructing 3D volumes. Our approach involves a three-step process: firstly, the implementation of a deblurring algorithm using the work of K. Becker; secondly, an automatic contrast enhancement; and thirdly, the development of a convolutional denoising auto-encoder featuring skip connections to effectively address noise introduced by contrast enhancement, particularly excelling in handling mixed Poisson-Gaussian noise. Additionally, we tackle the challenge of axial distortion in LSFM by introducing an approach based on an auto-encoder trained on bead calibration images. The proposed pipeline demonstrates a complete solution, presenting promising results that surpass existing methods in denoising LSFM images. These advancements hold potential to significantly improve the interpretation of biological data.
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Affiliation(s)
- Adrien Julia
- LIS, CNRS, Laboratoire d’Informatique et des Systèmes, Centre National de la Recherche Scientifique, Aix Marseille University, 13284 Marseille, France
- INMED, INSERM, Institut de Neurobiologie de la Méditerranée, Institut National de la Santé et de la Recherche Médicale, Aix Marseille University, 13284 Marseille, France; (F.J.M.)
| | - Rabah Iguernaissi
- LIS, CNRS, Laboratoire d’Informatique et des Systèmes, Centre National de la Recherche Scientifique, Aix Marseille University, 13284 Marseille, France
| | - François J. Michel
- INMED, INSERM, Institut de Neurobiologie de la Méditerranée, Institut National de la Santé et de la Recherche Médicale, Aix Marseille University, 13284 Marseille, France; (F.J.M.)
| | - Valéry Matarazzo
- INMED, INSERM, Institut de Neurobiologie de la Méditerranée, Institut National de la Santé et de la Recherche Médicale, Aix Marseille University, 13284 Marseille, France; (F.J.M.)
| | - Djamal Merad
- LIS, CNRS, Laboratoire d’Informatique et des Systèmes, Centre National de la Recherche Scientifique, Aix Marseille University, 13284 Marseille, France
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4
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Pesce L, Ricci P, Sportelli G, Belcari N, Sancataldo G. Expansion and Light-Sheet Microscopy for Nanoscale 3D Imaging. SMALL METHODS 2024:e2301715. [PMID: 38461540 DOI: 10.1002/smtd.202301715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 02/10/2024] [Indexed: 03/12/2024]
Abstract
Expansion Microscopy (ExM) and Light-Sheet Fluorescence Microscopy (LSFM) are forefront imaging techniques that enable high-resolution visualization of biological specimens. ExM enhances nanoscale investigation using conventional fluorescence microscopes, while LSFM offers rapid, minimally invasive imaging over large volumes. This review explores the joint advancements of ExM and LSFM, focusing on the excellent performance of the integrated modality obtained from the combination of the two, which is refer to as ExLSFM. In doing so, the chemical processes required for ExM, the tailored optical setup of LSFM for examining expanded samples, and the adjustments in sample preparation for accurate data collection are emphasized. It is delve into various specimen types studied using this integrated method and assess its potential for future applications. The goal of this literature review is to enrich the comprehension of ExM and LSFM, encouraging their wider use and ongoing development, looking forward to the upcoming challenges, and anticipating innovations in these imaging techniques.
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Affiliation(s)
- Luca Pesce
- Department of Physics - Enrico Fermi, University of Pisa, Largo Pontecorvo, 3, Pisa, 56127, Italy
| | - Pietro Ricci
- Department of Applied Physics, University of Barcelona, C/Martí i Franquès, 1, Barcelona, 08028, Spain
| | - Giancarlo Sportelli
- Department of Physics - Enrico Fermi, University of Pisa, Largo Pontecorvo, 3, Pisa, 56127, Italy
| | - Nicola Belcari
- Department of Physics - Enrico Fermi, University of Pisa, Largo Pontecorvo, 3, Pisa, 56127, Italy
| | - Giuseppe Sancataldo
- Department of Physics - Emilio Segrè, University of Palermo, Viale delle Scienze, 18, Palermo, 90128, Italy
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Mertens TF, Liebheit AT, Ehl J, Köhler R, Rakhymzhan A, Woehler A, Katthän L, Ebel G, Liublin W, Kasapi A, Triantafyllopoulou A, Schulz TJ, Niesner RA, Hauser AE. MarShie: a clearing protocol for 3D analysis of single cells throughout the bone marrow at subcellular resolution. Nat Commun 2024; 15:1764. [PMID: 38409121 PMCID: PMC10897183 DOI: 10.1038/s41467-024-45827-6] [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: 03/06/2023] [Accepted: 02/01/2024] [Indexed: 02/28/2024] Open
Abstract
Analyzing immune cell interactions in the bone marrow is vital for understanding hematopoiesis and bone homeostasis. Three-dimensional analysis of the complete, intact bone marrow within the cortex of whole long bones remains a challenge, especially at subcellular resolution. We present a method that stabilizes the marrow and provides subcellular resolution of fluorescent signals throughout the murine femur, enabling identification and spatial characterization of hematopoietic and stromal cell subsets. By combining a pre-processing algorithm for stripe artifact removal with a machine-learning approach, we demonstrate reliable cell segmentation down to the deepest bone marrow regions. This reveals age-related changes in the marrow. It highlights the interaction between CX3CR1+ cells and the vascular system in homeostasis, in contrast to other myeloid cell types, and reveals their spatial characteristics after injury. The broad applicability of this method will contribute to a better understanding of bone marrow biology.
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Affiliation(s)
- Till Fabian Mertens
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
- Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Alina Tabea Liebheit
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
- Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
- Institute of Chemistry and Biochemistry, Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Berlin, Germany
| | - Johanna Ehl
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
- Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Ralf Köhler
- Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Asylkhan Rakhymzhan
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
- Biophysical Analytics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Andrew Woehler
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, 10115, Berlin, Germany
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, 20147, USA
| | - Lukas Katthän
- Miltenyi Biotec B.V. and Co. Bertha-von-Suttner-Straße 5, 37085, Göttingen, Germany
| | - Gernot Ebel
- Miltenyi Biotec B.V. and Co. Bertha-von-Suttner-Straße 5, 37085, Göttingen, Germany
| | - Wjatscheslaw Liublin
- Biophysical Analytics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Ana Kasapi
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
- Innate Immunity in Rheumatic Diseases, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Antigoni Triantafyllopoulou
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany
- Innate Immunity in Rheumatic Diseases, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
| | - Tim Julius Schulz
- Department of Adipocyte Development and Nutrition, German Institute of Human Nutrition (DIfE) Potsdam-Rehbruecke, 14558, Nuthetal, Germany
- German Center for Diabetes Research (DZD), 85764, Munich-Neuherberg, Germany
| | - Raluca Aura Niesner
- Biophysical Analytics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany
- Dynamic and Functional in vivo Imaging, Veterinary Medicine, Freie Universität Berlin, Berlin, Germany
| | - Anja Erika Hauser
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117, Berlin, Germany.
- Immune Dynamics, Deutsches Rheuma-Forschungszentrum (DRFZ), a Leibniz Institute, Charitéplatz 1, 10117, Berlin, Germany.
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6
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Wang Z, Zhang J, Symvoulidis P, Guo W, Zhang L, Wilson MA, Boyden ES. Imaging the voltage of neurons distributed across entire brains of larval zebrafish. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.15.571964. [PMID: 38168290 PMCID: PMC10760087 DOI: 10.1101/2023.12.15.571964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Neurons interact in networks distributed throughout the brain. Although much effort has focused on whole-brain calcium imaging, recent advances in genetically encoded voltage indicators (GEVIs) raise the possibility of imaging voltage of neurons distributed across brains. To achieve this, a microscope must image at high volumetric rate and signal-to-noise ratio. We present a remote scanning light-sheet microscope capable of imaging GEVI-expressing neurons distributed throughout entire brains of larval zebrafish at a volumetric rate of 200.8 Hz. We measured voltage of ∼1/3 of the neurons of the brain, distributed throughout. We observed that neurons firing at different times during a sequence were located at different brain locations, for sequences elicited by a visual stimulus, which mapped onto locations throughout the optic tectum, as well as during stimulus-independent bursts, which mapped onto locations in the cerebellum and medulla. Whole-brain voltage imaging may open up frontiers in the fundamental operation of neural systems.
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7
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Park S, Na M, Chang S, Kim KH. High-resolution open-top axially swept light sheet microscopy. BMC Biol 2023; 21:248. [PMID: 37940973 PMCID: PMC10634022 DOI: 10.1186/s12915-023-01747-3] [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: 04/19/2023] [Accepted: 10/24/2023] [Indexed: 11/10/2023] Open
Abstract
BACKGROUND Open-top light-sheet microscopy (OT-LSM) is a specialized microscopic technique for the high-throughput cellular imaging of optically cleared, large-sized specimens, such as the brain. Despite the development of various OT-LSM techniques, achieving submicron resolution in all dimensions remains. RESULTS We developed a high-resolution open-top axially swept LSM (HR-OTAS-LSM) for high-throughput and high-resolution imaging in all dimensions. High axial and lateral resolutions were achieved by using an aberration-corrected axially swept excitation light sheet in the illumination arm and a high numerical aperture (NA) immersion objective lens in the imaging arm, respectively. The high-resolution, high-throughput visualization of neuronal networks in mouse brain and retina specimens validated the performance of HR-OTAS-LSM. CONCLUSIONS The proposed HR-OTAS-LSM method represents a significant advancement in the high-resolution mapping of cellular networks in biological systems such as the brain and retina.
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Affiliation(s)
- Soohyun Park
- Department of Mechanical Engineering, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-gu, Pohang, Gyeongbuk, 37673, Republic of Korea
| | - Myeongsu Na
- Department of Research and Development Center, Crayon Technologies, 19 Sanmaru-ro, Guri, Gyeonggi-do, 11901, Republic of Korea
| | - Sunghoe Chang
- Department of Physiology and Biomedical Sciences, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
- Neuroscience Research Institute, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Ki Hean Kim
- Department of Mechanical Engineering, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-gu, Pohang, Gyeongbuk, 37673, Republic of Korea.
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8
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Turrini L, Roschi L, de Vito G, Pavone FS, Vanzi F. Imaging Approaches to Investigate Pathophysiological Mechanisms of Brain Disease in Zebrafish. Int J Mol Sci 2023; 24:9833. [PMID: 37372981 DOI: 10.3390/ijms24129833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 06/01/2023] [Accepted: 06/02/2023] [Indexed: 06/29/2023] Open
Abstract
Zebrafish has become an essential model organism in modern biomedical research. Owing to its distinctive features and high grade of genomic homology with humans, it is increasingly employed to model diverse neurological disorders, both through genetic and pharmacological intervention. The use of this vertebrate model has recently enhanced research efforts, both in the optical technology and in the bioengineering fields, aiming at developing novel tools for high spatiotemporal resolution imaging. Indeed, the ever-increasing use of imaging methods, often combined with fluorescent reporters or tags, enable a unique chance for translational neuroscience research at different levels, ranging from behavior (whole-organism) to functional aspects (whole-brain) and down to structural features (cellular and subcellular). In this work, we present a review of the imaging approaches employed to investigate pathophysiological mechanisms underlying functional, structural, and behavioral alterations of human neurological diseases modeled in zebrafish.
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Affiliation(s)
- Lapo Turrini
- European Laboratory for Non-Linear Spectroscopy, Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy
| | - Lorenzo Roschi
- European Laboratory for Non-Linear Spectroscopy, Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy
| | - Giuseppe de Vito
- European Laboratory for Non-Linear Spectroscopy, Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Viale Gaetano Pieraccini 6, 50139 Florence, Italy
- Interdepartmental Centre for the Study of Complex Dynamics, University of Florence, Via Giovanni Sansone 1, 50019 Sesto Fiorentino, Italy
| | - Francesco Saverio Pavone
- European Laboratory for Non-Linear Spectroscopy, Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy
- Department of Physics and Astronomy, University of Florence, Via Giovanni Sansone 1, 50019 Sesto Fiorentino, Italy
- National Institute of Optics, National Research Council, Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy
| | - Francesco Vanzi
- European Laboratory for Non-Linear Spectroscopy, Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy
- Department of Biology, University of Florence, Via Madonna del Piano 6, 50019 Sesto Fiorentino, Italy
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9
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Laurino A, Franceschini A, Pesce L, Cinci L, Montalbano A, Mazzamuto G, Sancataldo G, Nesi G, Costantini I, Silvestri L, Pavone FS. A Guide to Perform 3D Histology of Biological Tissues with Fluorescence Microscopy. Int J Mol Sci 2023; 24:ijms24076747. [PMID: 37047724 PMCID: PMC10094801 DOI: 10.3390/ijms24076747] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 03/27/2023] [Accepted: 03/29/2023] [Indexed: 04/09/2023] Open
Abstract
The analysis of histological alterations in all types of tissue is of primary importance in pathology for highly accurate and robust diagnosis. Recent advances in tissue clearing and fluorescence microscopy made the study of the anatomy of biological tissue possible in three dimensions. The combination of these techniques with classical hematoxylin and eosin (H&E) staining has led to the birth of three-dimensional (3D) histology. Here, we present an overview of the state-of-the-art methods, highlighting the optimal combinations of different clearing methods and advanced fluorescence microscopy techniques for the investigation of all types of biological tissues. We employed fluorescence nuclear and eosin Y staining that enabled us to obtain hematoxylin and eosin pseudo-coloring comparable with the gold standard H&E analysis. The computational reconstructions obtained with 3D optical imaging can be analyzed by a pathologist without any specific training in volumetric microscopy, paving the way for new biomedical applications in clinical pathology.
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Affiliation(s)
- Annunziatina Laurino
- European Laboratory for Non-linear Spectroscopy, LENS, 50019 Sesto Fiorentino, Italy
- Department of Physics and Astronomy, University of Florence, 50019 Florence, Italy
| | - Alessandra Franceschini
- European Laboratory for Non-linear Spectroscopy, LENS, 50019 Sesto Fiorentino, Italy
- Department of Physics and Astronomy, University of Florence, 50019 Florence, Italy
| | - Luca Pesce
- European Laboratory for Non-linear Spectroscopy, LENS, 50019 Sesto Fiorentino, Italy
- Department of Physics and Astronomy, University of Florence, 50019 Florence, Italy
| | - Lorenzo Cinci
- Department of Experimental and Clinical Biomedical Sciences, Radiodiagnostic Unit n. 2, Careggi University Hospital, 50134 Florence, Italy
| | - Alberto Montalbano
- European Laboratory for Non-linear Spectroscopy, LENS, 50019 Sesto Fiorentino, Italy
- Department of Neurofarba Section of Pharmacology and Toxicology, University of Florence, 50139 Florence, Italy
| | - Giacomo Mazzamuto
- European Laboratory for Non-linear Spectroscopy, LENS, 50019 Sesto Fiorentino, Italy
- Department of Physics and Astronomy, University of Florence, 50019 Florence, Italy
- National Research Council—National Institute of Optics (CNR-INO), 50125 Sesto Fiorentino, Italy
| | - Giuseppe Sancataldo
- European Laboratory for Non-linear Spectroscopy, LENS, 50019 Sesto Fiorentino, Italy
- Department of Physics and Astronomy, University of Florence, 50019 Florence, Italy
| | - Gabriella Nesi
- Department of Health Sciences, University of Florence, 50139 Florence, Italy
| | - Irene Costantini
- European Laboratory for Non-linear Spectroscopy, LENS, 50019 Sesto Fiorentino, Italy
- National Research Council—National Institute of Optics (CNR-INO), 50125 Sesto Fiorentino, Italy
- Department of Biology, University of Florence, 50019 Florence, Italy
| | - Ludovico Silvestri
- European Laboratory for Non-linear Spectroscopy, LENS, 50019 Sesto Fiorentino, Italy
- Department of Physics and Astronomy, University of Florence, 50019 Florence, Italy
- National Research Council—National Institute of Optics (CNR-INO), 50125 Sesto Fiorentino, Italy
| | - Francesco Saverio Pavone
- European Laboratory for Non-linear Spectroscopy, LENS, 50019 Sesto Fiorentino, Italy
- Department of Physics and Astronomy, University of Florence, 50019 Florence, Italy
- National Research Council—National Institute of Optics (CNR-INO), 50125 Sesto Fiorentino, Italy
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10
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Benavides OR, Gibbs HC, White BP, Kaunas R, Gregory CA, Walsh AJ, Maitland KC. Volumetric imaging of human mesenchymal stem cells (hMSCs) for non-destructive quantification of 3D cell culture growth. PLoS One 2023; 18:e0282298. [PMID: 36976801 PMCID: PMC10047548 DOI: 10.1371/journal.pone.0282298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 02/11/2023] [Indexed: 03/29/2023] Open
Abstract
The adoption of cell-based therapies into the clinic will require tremendous large-scale expansion to satisfy future demand, and bioreactor-microcarrier cultures are best suited to meet this challenge. The use of spherical microcarriers, however, precludes in-process visualization and monitoring of cell number, morphology, and culture health. The development of novel expansion methods also motivates the advancement of analytical methods used to characterize these microcarrier cultures. A robust optical imaging and image-analysis assay to non-destructively quantify cell number and cell volume was developed. This method preserves 3D cell morphology and does not require membrane lysing, cellular detachment, or exogenous labeling. Complex cellular networks formed in microcarrier aggregates were imaged and analyzed in toto. Direct cell enumeration of large aggregates was performed in toto for the first time. This assay was successfully applied to monitor cellular growth of mesenchymal stem cells attached to spherical hydrogel microcarriers over time. Elastic scattering and fluorescence lightsheet microscopy were used to quantify cell volume and cell number at varying spatial scales. The presented study motivates the development of on-line optical imaging and image analysis systems for robust, automated, and non-destructive monitoring of bioreactor-microcarrier cell cultures.
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Affiliation(s)
- Oscar R. Benavides
- Department of Biomedical Engineering, Texas A&M University, College Station, Texas, United States of America
- * E-mail:
| | - Holly C. Gibbs
- Department of Biomedical Engineering, Texas A&M University, College Station, Texas, United States of America
- Microscopy and Imaging Center, Texas A&M University, College Station, Texas, United States of America
| | - Berkley P. White
- Department of Biomedical Engineering, Texas A&M University, College Station, Texas, United States of America
| | - Roland Kaunas
- Department of Biomedical Engineering, Texas A&M University, College Station, Texas, United States of America
| | - Carl A. Gregory
- School of Medicine, Texas A&M Health Science Center, Bryan, Texas, United States of America
| | - Alex J. Walsh
- Department of Biomedical Engineering, Texas A&M University, College Station, Texas, United States of America
| | - Kristen C. Maitland
- Department of Biomedical Engineering, Texas A&M University, College Station, Texas, United States of America
- Microscopy and Imaging Center, Texas A&M University, College Station, Texas, United States of America
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11
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Abdel-Harith M, Abdelazeem RM, Hamdy O, Abdel-Salam Z. Adaptive optics-based wavefront-enhanced laser-induced fluorescence (WELIF) for improved analytical performance. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:212-220. [PMID: 36524606 DOI: 10.1039/d2ay01521h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
The current study proposes a novel optical approach based on an adaptive optics (AO) system to enhance the fluorescence intensity in the laser-induced fluorescence (LIF) technique. The proposed method, wavefront-enhanced LIF (WELIF), relies mainly on compensating for the aberrations arising from the excitation-laser wavefront. The AO system consists of an active correction element (deformable mirror (DM)) integrated with a Shack-Hartmann wavefront sensor (SHWFS). The overall system operates in a closed-loop configuration to compensate for the laser beam aberrations in real time. The performance of the interaction of the aberration-free excitation laser beam with solid samples, e.g., bone, leaf, polymer sheet, and with liquid samples, e.g., extra virgin olive oil (EVOO), showed a pronounced improvement in the fluorescence peak intensity. As an analytical application example, detailed WELIF measurements have been performed on five EVOO brands to demonstrate the validity of the new approach. Furthermore, the effectiveness of the proposed system was evaluated by measuring the enhancement factor, i.e., the ratio between the fluorescence peak intensity after aberration compensation (AC) relative to the initial peak intensity before aberration compensation (BC). The results reveal that the fluorescence peak intensities have been enhanced with ranges from 20% to 98% after compensation (AC). Besides, the results were statistically assessed based on the receiver operator characteristic (ROC) curve (84% sensitivity AC and 82% BC) and partial least squares regression, PLSR, with a 0.94 coefficient of determination AC compared to 0.90 BC.
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Affiliation(s)
- Mohamed Abdel-Harith
- Cairo University, Laser Applications in Metrology, Photochemistry and Agriculture Dept, National Institute of Laser Enhanced Science, Egypt.
| | - Rania M Abdelazeem
- Cairo University, Engineering Applications of Lasers Dept, National Institute of Laser Enhanced Science, Egypt
| | - Omnia Hamdy
- Cairo University, Engineering Applications of Lasers Dept, National Institute of Laser Enhanced Science, Egypt
| | - Zienab Abdel-Salam
- Cairo University, Laser Applications in Metrology, Photochemistry and Agriculture Dept, National Institute of Laser Enhanced Science, Egypt.
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12
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Practical considerations for quantitative light sheet fluorescence microscopy. Nat Methods 2022; 19:1538-1549. [PMID: 36266466 DOI: 10.1038/s41592-022-01632-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Accepted: 08/31/2022] [Indexed: 12/25/2022]
Abstract
Fluorescence microscopy has evolved from a purely observational tool to a platform for quantitative, hypothesis-driven research. As such, the demand for faster and less phototoxic imaging modalities has spurred a rapid growth in light sheet fluorescence microscopy (LSFM). By restricting the excitation to a thin plane, LSFM reduces the overall light dose to a specimen while simultaneously improving image contrast. However, the defining characteristics of light sheet microscopes subsequently warrant unique considerations in their use for quantitative experiments. In this Perspective, we outline many of the pitfalls in LSFM that can compromise analysis and confound interpretation. Moreover, we offer guidance in addressing these caveats when possible. In doing so, we hope to provide a useful resource for life scientists seeking to adopt LSFM to quantitatively address complex biological hypotheses.
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13
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Battistella E, Schniete J, Wesencraft K, Quintana JF, McConnell G. Light-sheet mesoscopy with the Mesolens provides fast sub-cellular resolution imaging throughout large tissue volumes. iScience 2022; 25:104797. [PMID: 36034214 PMCID: PMC9404659 DOI: 10.1016/j.isci.2022.104797] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 05/27/2022] [Accepted: 07/14/2022] [Indexed: 11/19/2022] Open
Abstract
Rapid imaging of large biological tissue specimens such as ultrathick sections of mouse brain cannot easily be performed with a standard microscope. Optical mesoscopy offers a solution, but thus far imaging has been too slow to be useful for routine use. We have developed two different illuminators for light-sheet mesoscopy with the Mesolens and we demonstrate their use in high-speed optical mesoscale imaging of large tissue specimens. The first light-sheet approach uses Gaussian optics and is straightforward to implement. It provides excellent lateral resolution and high-speed imaging, but the axial resolution is poor. The second light-sheet is a more complex Airy light-sheet that provides sub-cellular resolution in three dimensions that is comparable in quality to point-scanning confocal mesoscopy, but the light-sheet method of illuminating the specimen reduces the imaging time by a factor of 14. This creates new possibilities for high-content, higher-throughput optical bioimaging at the mesoscale.
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Affiliation(s)
- Eliana Battistella
- Department of Physics, SUPA, University of Strathclyde, 107 Rottenrow East, Glasgow G4 0NG, UK
| | - Jan Schniete
- Department of Physics, SUPA, University of Strathclyde, 107 Rottenrow East, Glasgow G4 0NG, UK
| | - Katrina Wesencraft
- Department of Physics, SUPA, University of Strathclyde, 107 Rottenrow East, Glasgow G4 0NG, UK
| | - Juan F. Quintana
- Wellcome Centre for Integrative Parasitology, Institute of Biodiversity Animal Health and Comparative Medicine, University of Glasgow, Glasgow, UK
| | - Gail McConnell
- Department of Physics, SUPA, University of Strathclyde, 107 Rottenrow East, Glasgow G4 0NG, UK
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14
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Hériché M, Arnould C, Wipf D, Courty PE. Imaging plant tissues: advances and promising clearing practices. TRENDS IN PLANT SCIENCE 2022; 27:601-615. [PMID: 35339361 DOI: 10.1016/j.tplants.2021.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 12/03/2021] [Accepted: 12/09/2021] [Indexed: 06/14/2023]
Abstract
The study of the organ structure of plants and understanding their physiological complexity requires 3D imaging with subcellular resolution. Most plant organs are highly opaque to light, and their study under optical sectioning microscopes is therefore difficult. In animals, many protocols have been developed to make organs transparent to light using clearing protocols (CPs). By contrast, clearing plant tissues is challenging because of the presence of fibers and pigments. We describe progress in the development of plant CPs over the past 20 years through a modified taxonomy of CPs based on their physical and optical parameters that affect tissue properties. We also discuss successful approaches that combine CPs with new microscopy methods and their future applications in plant science research.
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Affiliation(s)
- Mathilde Hériché
- Agroécologie, AgroSup Dijon, Centre National de la Recherche Scientifique (CNRS), Université de Bourgogne, Institut National de Recherche pour l'Agriculture, l'Alimentation, et l'Environnement (INRAE), Université Bourgogne Franche-Comté, Dijon, France
| | - Christine Arnould
- Agroécologie, AgroSup Dijon, Centre National de la Recherche Scientifique (CNRS), Université de Bourgogne, Institut National de Recherche pour l'Agriculture, l'Alimentation, et l'Environnement (INRAE), Université Bourgogne Franche-Comté, Dijon, France
| | - Daniel Wipf
- Agroécologie, AgroSup Dijon, Centre National de la Recherche Scientifique (CNRS), Université de Bourgogne, Institut National de Recherche pour l'Agriculture, l'Alimentation, et l'Environnement (INRAE), Université Bourgogne Franche-Comté, Dijon, France
| | - Pierre-Emmanuel Courty
- Agroécologie, AgroSup Dijon, Centre National de la Recherche Scientifique (CNRS), Université de Bourgogne, Institut National de Recherche pour l'Agriculture, l'Alimentation, et l'Environnement (INRAE), Université Bourgogne Franche-Comté, Dijon, France.
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15
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3D molecular phenotyping of cleared human brain tissues with light-sheet fluorescence microscopy. Commun Biol 2022; 5:447. [PMID: 35551498 PMCID: PMC9098858 DOI: 10.1038/s42003-022-03390-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 04/21/2022] [Indexed: 12/17/2022] Open
Abstract
The combination of optical tissue transparency with immunofluorescence allows the molecular characterization of biological tissues in 3D. However, adult human organs are particularly challenging to become transparent because of the autofluorescence contributions of aged tissues. To meet this challenge, we optimized SHORT (SWITCH-H2O2-antigen Retrieval-TDE), a procedure based on standard histological treatments in combination with a refined clearing procedure to clear and label portions of the human brain. 3D histological characterization with multiple molecules is performed on cleared samples with a combination of multi-colors and multi-rounds labeling. By performing fast 3D imaging of the samples with a custom-made inverted light-sheet fluorescence microscope (LSFM), we reveal fine details of intact human brain slabs at subcellular resolution. Overall, we proposed a scalable and versatile technology that in combination with LSFM allows mapping the cellular and molecular architecture of the human brain, paving the way to reconstruct the entire organ.
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16
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Yin J, Yang G, Qin X, Li H, Wang L. Optimized U-Net model for 3D light-sheet image segmentation of zebrafish trunk vessels. BIOMEDICAL OPTICS EXPRESS 2022; 13:2896-2908. [PMID: 35774342 PMCID: PMC9203114 DOI: 10.1364/boe.449714] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 03/11/2022] [Accepted: 03/29/2022] [Indexed: 06/15/2023]
Abstract
The growth of zebrafish's vessels can be used as an indicator of the vascular development process and to study the biological mechanisms. The three-dimensional (3D) structures of zebrafish's trunk vessels could be imaged by state-of-art light-sheet fluorescent microscopy with high efficiency. A large amount of data was then produced. Accurate segmentation of these 3D images becomes a new bottleneck for automatic and quantitative analysis. Here, we propose a Multi-scale 3D U-Net model to perform the segmentation of trunk vessels. The segmentation accuracies of 82.3% and 83.0%, as evaluated by the IoU (Intersection over Union) parameter, were achieved for intersegmental vessels and the dorsal longitudinal anastomotic vessels respectively. The growth of zebrafish vasculature from 42-62 hours was then analyzed quantitatively.
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Affiliation(s)
- Jingyi Yin
- School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
- Jiangsu Key Laboratory of Medical Optics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, China
| | - Guang Yang
- School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
| | - Xiaofei Qin
- Jiangsu Key Laboratory of Medical Optics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, China
| | - Hui Li
- School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
- Jiangsu Key Laboratory of Medical Optics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, China
| | - Linbo Wang
- School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China
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17
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Turrini L, Sorelli M, de Vito G, Credi C, Tiso N, Vanzi F, Pavone FS. Multimodal Characterization of Seizures in Zebrafish Larvae. Biomedicines 2022; 10:951. [PMID: 35625689 PMCID: PMC9139036 DOI: 10.3390/biomedicines10050951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 04/07/2022] [Accepted: 04/15/2022] [Indexed: 11/17/2022] Open
Abstract
Epilepsy accounts for a significant proportion of the world's disease burden. Indeed, many research efforts are produced both to investigate the basic mechanism ruling its genesis and to find more effective therapies. In this framework, the use of zebrafish larvae, owing to their peculiar features, offers a great opportunity. Here, we employ transgenic zebrafish larvae expressing GCaMP6s in all neurons to characterize functional alterations occurring during seizures induced by pentylenetetrazole. Using a custom two-photon light-sheet microscope, we perform fast volumetric functional imaging of the entire larval brain, investigating how different brain regions contribute to seizure onset and propagation. Moreover, employing a custom behavioral tracking system, we outline the progressive alteration of larval swim kinematics, resulting from different grades of seizures. Collectively, our results show that the epileptic larval brain undergoes transitions between diverse neuronal activity regimes. Moreover, we observe that different brain regions are progressively recruited into the generation of seizures of diverse severity. We demonstrate that midbrain regions exhibit highest susceptibility to the convulsant effects and that, during periods preceding abrupt hypersynchronous paroxysmal activity, they show a consistent increase in functional connectivity. These aspects, coupled with the hub-like role that these regions exert, represent important cues in their identification as epileptogenic hubs.
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Affiliation(s)
- Lapo Turrini
- Department of Physics and Astronomy, University of Florence, Via G. Sansone 1, 50019 Sesto Fiorentino, Italy;
- European Laboratory for Non-Linear Spectroscopy, Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy; (G.d.V.); (C.C.); (F.V.)
| | - Michele Sorelli
- Department of Physics and Astronomy, University of Florence, Via G. Sansone 1, 50019 Sesto Fiorentino, Italy;
- European Laboratory for Non-Linear Spectroscopy, Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy; (G.d.V.); (C.C.); (F.V.)
| | - Giuseppe de Vito
- European Laboratory for Non-Linear Spectroscopy, Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy; (G.d.V.); (C.C.); (F.V.)
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Viale Pieraccini 6, 50139 Florence, Italy
| | - Caterina Credi
- European Laboratory for Non-Linear Spectroscopy, Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy; (G.d.V.); (C.C.); (F.V.)
- National Institute of Optics, National Research Council, Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy
| | - Natascia Tiso
- Department of Biology, University of Padova, Via U. Bassi 58/B, 35131 Padova, Italy;
| | - Francesco Vanzi
- European Laboratory for Non-Linear Spectroscopy, Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy; (G.d.V.); (C.C.); (F.V.)
- Department of Biology, University of Florence, Via Madonna del Piano 6, 50019 Sesto Fiorentino, Italy
| | - Francesco Saverio Pavone
- Department of Physics and Astronomy, University of Florence, Via G. Sansone 1, 50019 Sesto Fiorentino, Italy;
- European Laboratory for Non-Linear Spectroscopy, Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy; (G.d.V.); (C.C.); (F.V.)
- National Institute of Optics, National Research Council, Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy
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18
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Wei Z, Wu X, Tong W, Zhang S, Yang X, Tian J, Hui H. Elimination of stripe artifacts in light sheet fluorescence microscopy using an attention-based residual neural network. BIOMEDICAL OPTICS EXPRESS 2022; 13:1292-1311. [PMID: 35414974 PMCID: PMC8973169 DOI: 10.1364/boe.448838] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 01/15/2022] [Accepted: 01/28/2022] [Indexed: 06/14/2023]
Abstract
Stripe artifacts can deteriorate the quality of light sheet fluorescence microscopy (LSFM) images. Owing to the inhomogeneous, high-absorption, or scattering objects located in the excitation light path, stripe artifacts are generated in LSFM images in various directions and types, such as horizontal, anisotropic, or multidirectional anisotropic. These artifacts severely degrade the quality of LSFM images. To address this issue, we proposed a new deep-learning-based approach for the elimination of stripe artifacts. This method utilizes an encoder-decoder structure of UNet integrated with residual blocks and attention modules between successive convolutional layers. Our attention module was implemented in the residual blocks to learn useful features and suppress the residual features. The proposed network was trained and validated by generating three different degradation datasets with different types of stripe artifacts in LSFM images. Our method can effectively remove different stripes in generated and actual LSFM images distorted by stripe artifacts. Besides, quantitative analysis and extensive comparison results demonstrated that our method performs the best compared with classical image-based processing algorithms and other powerful deep-learning-based destriping methods for all three generated datasets. Thus, our method has tremendous application prospects to LSFM, and its use can be easily extended to images reconstructed by other modalities affected by the presence of stripe artifacts.
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Affiliation(s)
- Zechen Wei
- CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Beijing 100190, China
- Beijing Key Laboratory of Molecular Imaging, Beijing 100190, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100190, China
| | - Xiangjun Wu
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing 100083, China
| | - Wei Tong
- Senior Department of Cardiology, the Sixth Medical Center of PLA General Hospital, Beijing 100853, China
| | - Suhui Zhang
- Senior Department of Cardiology, the Sixth Medical Center of PLA General Hospital, Beijing 100853, China
| | - Xin Yang
- CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Beijing 100190, China
- Beijing Key Laboratory of Molecular Imaging, Beijing 100190, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100190, China
| | - Jie Tian
- CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Beijing 100190, China
- Beijing Key Laboratory of Molecular Imaging, Beijing 100190, China
- Zhuhai Precision Medical Center, Zhuhai People's Hospital, affiliated with Jinan University, Zhuhai 519000, China
| | - Hui Hui
- CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Beijing 100190, China
- Beijing Key Laboratory of Molecular Imaging, Beijing 100190, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100190, China
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19
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Microscopic Imaging Methods for Organ-on-a-Chip Platforms. MICROMACHINES 2022; 13:mi13020328. [PMID: 35208453 PMCID: PMC8879989 DOI: 10.3390/mi13020328] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 02/15/2022] [Accepted: 02/15/2022] [Indexed: 02/06/2023]
Abstract
Microscopic imaging is essential and the most popular method for in situ monitoring and evaluating the outcome of various organ-on-a-chip (OOC) platforms, including the number and morphology of mammalian cells, gene expression, protein secretions, etc. This review presents an overview of how various imaging methods can be used to image organ-on-a-chip platforms, including transillumination imaging (including brightfield, phase-contrast, and holographic optofluidic imaging), fluorescence imaging (including confocal fluorescence and light-sheet fluorescence imaging), and smartphone-based imaging (including microscope attachment-based, quantitative phase, and lens-free imaging). While various microscopic imaging methods have been demonstrated for conventional microfluidic devices, a relatively small number of microscopic imaging methods have been demonstrated for OOC platforms. Some methods have rarely been used to image OOCs. Specific requirements for imaging OOCs will be discussed in comparison to the conventional microfluidic devices and future directions will be introduced in this review.
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