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Zhu E, Li YR, Margolis S, Wang J, Wang K, Zhang Y, Wang S, Park J, Zheng C, Yang L, Chu A, Zhang Y, Gao L, Hsiai TK. Frontiers in artificial intelligence-directed light-sheet microscopy for uncovering biological phenomena and multi-organ imaging. VIEW 2024; 5:20230087. [PMID: 39478956 PMCID: PMC11521201 DOI: 10.1002/viw.20230087] [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: 04/02/2024] [Accepted: 07/18/2024] [Indexed: 11/02/2024] Open
Abstract
Light-sheet fluorescence microscopy (LSFM) introduces fast scanning of biological phenomena with deep photon penetration and minimal phototoxicity. This advancement represents a significant shift in 3-D imaging of large-scale biological tissues and 4-D (space + time) imaging of small live animals. The large data associated with LSFM requires efficient imaging acquisition and analysis with the use of artificial intelligence (AI)/machine learning (ML) algorithms. To this end, AI/ML-directed LSFM is an emerging area for multi-organ imaging and tumor diagnostics. This review will present the development of LSFM and highlight various LSFM configurations and designs for multi-scale imaging. Optical clearance techniques will be compared for effective reduction in light scattering and optimal deep-tissue imaging. This review will further depict a diverse range of research and translational applications, from small live organisms to multi-organ imaging to tumor diagnosis. In addition, this review will address AI/ML-directed imaging reconstruction, including the application of convolutional neural networks (CNNs) and generative adversarial networks (GANs). In summary, the advancements of LSFM have enabled effective and efficient post-imaging reconstruction and data analyses, underscoring LSFM's contribution to advancing fundamental and translational research.
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Affiliation(s)
- Enbo Zhu
- Department of Bioengineering, UCLA, California, 90095, USA
- Division of Cardiology, Department of Medicine, David Geffen School of Medicine, UCLA, California, 90095, USA
- Department of Medicine, Greater Los Angeles VA Healthcare System, California, 90073, USA
- Department of Microbiology, Immunology & Molecular Genetics, UCLA, California, 90095, USA
| | - Yan-Ruide Li
- Department of Microbiology, Immunology & Molecular Genetics, UCLA, California, 90095, USA
| | - Samuel Margolis
- Division of Cardiology, Department of Medicine, David Geffen School of Medicine, UCLA, California, 90095, USA
| | - Jing Wang
- Department of Bioengineering, UCLA, California, 90095, USA
| | - Kaidong Wang
- Division of Cardiology, Department of Medicine, David Geffen School of Medicine, UCLA, California, 90095, USA
- Department of Medicine, Greater Los Angeles VA Healthcare System, California, 90073, USA
| | - Yaran Zhang
- Department of Bioengineering, UCLA, California, 90095, USA
| | - Shaolei Wang
- Department of Bioengineering, UCLA, California, 90095, USA
| | - Jongchan Park
- Department of Bioengineering, UCLA, California, 90095, USA
| | - Charlie Zheng
- Division of Cardiology, Department of Medicine, David Geffen School of Medicine, UCLA, California, 90095, USA
| | - Lili Yang
- Department of Microbiology, Immunology & Molecular Genetics, UCLA, California, 90095, USA
- Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, UCLA, California, 90095, USA
- Jonsson Comprehensive Cancer Center, David Geffen School of Medicine, UCLA, California, 90095, USA
- Molecular Biology Institute, UCLA, California, 90095, USA
| | - Alison Chu
- Division of Neonatology and Developmental Biology, Department of Pediatrics, David Geffen School of Medicine, UCLA, California, 90095, USA
| | - Yuhua Zhang
- Doheny Eye Institute, Department of Ophthalmology, UCLA, California, 90095, USA
| | - Liang Gao
- Department of Bioengineering, UCLA, California, 90095, USA
| | - Tzung K. Hsiai
- Department of Bioengineering, UCLA, California, 90095, USA
- Division of Cardiology, Department of Medicine, David Geffen School of Medicine, UCLA, California, 90095, USA
- Department of Medicine, Greater Los Angeles VA Healthcare System, California, 90073, USA
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2
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Kramer SN, Antarasen J, Reinholt CR, Kisley L. A practical guide to light-sheet microscopy for nanoscale imaging: Looking beyond the cell. JOURNAL OF APPLIED PHYSICS 2024; 136:091101. [PMID: 39247785 PMCID: PMC11380115 DOI: 10.1063/5.0218262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Accepted: 08/12/2024] [Indexed: 09/10/2024]
Abstract
We present a comprehensive guide to light-sheet microscopy (LSM) to assist scientists in navigating the practical implementation of this microscopy technique. Emphasizing the applicability of LSM to image both static microscale and nanoscale features, as well as diffusion dynamics, we present the fundamental concepts of microscopy, progressing through beam profile considerations, to image reconstruction. We outline key practical decisions in constructing a home-built system and provide insight into the alignment and calibration processes. We briefly discuss the conditions necessary for constructing a continuous 3D image and introduce our home-built code for data analysis. By providing this guide, we aim to alleviate the challenges associated with designing and constructing LSM systems and offer scientists new to LSM a valuable resource in navigating this complex field.
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Affiliation(s)
- Stephanie N Kramer
- Department of Physics, Case Western Reserve University, Rockefeller Building, 2076 Adelbert Road, Cleveland, Ohio 44106, USA
| | - Jeanpun Antarasen
- Department of Physics, Case Western Reserve University, Rockefeller Building, 2076 Adelbert Road, Cleveland, Ohio 44106, USA
| | - Cole R Reinholt
- Department of Physics, Case Western Reserve University, Rockefeller Building, 2076 Adelbert Road, Cleveland, Ohio 44106, USA
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3
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Almasian M, Saberigarakani A, Zhang X, Lee B, Ding Y. Light-Sheet Imaging to Reveal Cardiac Structure in Rodent Hearts. J Vis Exp 2024:10.3791/66707. [PMID: 38619234 PMCID: PMC11027943 DOI: 10.3791/66707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/16/2024] Open
Abstract
Light-sheet microscopy (LSM) plays a pivotal role in comprehending the intricate three-dimensional (3D) structure of the heart, providing crucial insights into fundamental cardiac physiology and pathologic responses. We hereby delve into the development and implementation of the LSM technique to elucidate the micro-architecture of the heart in mouse models. The methodology integrates a customized LSM system with tissue clearing techniques, mitigating light scattering within cardiac tissues for volumetric imaging. The combination of conventional LSM with image stitching and multiview deconvolution approaches allows for the capture of the entire heart. To address the inherent trade-off between axial resolution and field of view (FOV), we further introduce an axially swept light-sheet microscopy (ASLM) method to minimize out-of-focus light and uniformly illuminate the heart across the propagation direction. In the meanwhile, tissue clearing methods such as iDISCO enhance light penetration, facilitating the visualization of deep structures and ensuring a comprehensive examination of the myocardium throughout the entire heart. The combination of the proposed LSM and tissue clearing methods presents a promising platform for researchers in resolving cardiac structures in rodent hearts, holding great potential for the understanding of cardiac morphogenesis and remodeling.
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Affiliation(s)
- Milad Almasian
- Department of Bioengineering, The University of Texas at Dallas
| | | | - Xinyuan Zhang
- Department of Bioengineering, The University of Texas at Dallas
| | - Brian Lee
- Department of Bioengineering, The University of Texas at Dallas
| | - Yichen Ding
- Department of Bioengineering, The University of Texas at Dallas; Center for Imaging and Surgical Innovation, The University of Texas at Dallas; Hamon Center for Regenerative Science and Medicine, UT Southwestern Medical Center;
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4
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Tolstik E, Lehnart SE, Soeller C, Lorenz K, Sacconi L. Cardiac multiscale bioimaging: from nano- through micro- to mesoscales. Trends Biotechnol 2024; 42:212-227. [PMID: 37806897 DOI: 10.1016/j.tibtech.2023.08.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 08/23/2023] [Accepted: 08/24/2023] [Indexed: 10/10/2023]
Abstract
Cardiac multiscale bioimaging is an emerging field that aims to provide a comprehensive understanding of the heart and its functions at various levels, from the molecular to the entire organ. It combines both physiologically and clinically relevant dimensions: from nano- and micrometer resolution imaging based on vibrational spectroscopy and high-resolution microscopy to assess molecular processes in cardiac cells and myocardial tissue, to mesoscale structural investigations to improve the understanding of cardiac (patho)physiology. Tailored super-resolution deep microscopy with advanced proteomic methods and hands-on experience are thus strategically combined to improve the quality of cardiovascular research and support future medical decision-making by gaining additional biomolecular information for translational and diagnostic applications.
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Affiliation(s)
- Elen Tolstik
- Department of Cardiovascular Pharmacology, Translational Research, Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V. Bunsen-Kirchhoff-Strasse 11, 44139 Dortmund, Germany.
| | - Stephan E Lehnart
- Department of Cardiology and Pneumology, Cellular Biophysics and Translational Cardiology Section, Heart Research Center Göttingen, University Medical Center Göttingen, Georg-August University Göttingen, Robert-Koch-Strasse 42a, 37075 Göttingen, Germany; Cluster of Excellence Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells (MBExC2067), University of Göttingen, 37073 Göttingen, Germany; Collaborative Research Center SFB1190 Compartmental Gates and Contact Sites in Cells, University of Göttingen, 37073 Göttingen, Germany
| | - Christian Soeller
- Department of Physiology, University of Bern, Bühlplatz 5, 3012 Bern, Switzerland
| | - Kristina Lorenz
- Department of Cardiovascular Pharmacology, Translational Research, Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V. Bunsen-Kirchhoff-Strasse 11, 44139 Dortmund, Germany; Institute of Pharmacology and Toxicology, University of Würzburg, Versbacher Strasse 9, 97078 Würzburg, Germany
| | - Leonardo Sacconi
- Institute of Clinical Physiology, National Research Council, Rome, Italy; Institute for Experimental Cardiovascular Medicine, University Freiburg, Elsässer Strasse 2q, 79110 Freiburg, Germany.
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5
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Zhang Z, Fan H, Richardson W, Gao BZ, Ye T. Management of autofluorescence in formaldehyde-fixed myocardium: choosing the right treatment. Eur J Histochem 2023; 67:3812. [PMID: 37781779 PMCID: PMC10614721 DOI: 10.4081/ejh.2023.3812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 08/28/2023] [Indexed: 10/03/2023] Open
Abstract
Autofluorescence (AF) poses challenges for detecting proteins of interest in situ when employing immunofluorescence (IF) microscopy. This interference is particularly pronounced in strongly autofluorescent tissues such as myocardium, where tissue AF can be comparable to IF. Although various histochemical methods have been developed to achieve effective AF suppression in different types of tissue, their applications on myocardial samples have not been well validated. Due to inconsistency across different autofluorescent structures in sometypes of tissue, it is unclear if these methods can effectively suppress AF across all autofluorescent structures within the myocardium. Here, we quantitatively evaluated the performance of several commonly used quenching treatments on formaldehyde-fixed myocardial samples, including 0.3 M glycine, 0.3% Sudan Black B (SBB), 0.1% and 1% sodium borohydride (NaBH4), TrueVIEW® and TrueBlack®. We further assessed their quenching performance by employing the pre-treatment and post-treatment protocols, designed to cover two common IF staining scenarios where buffers contained detergents or not. The results suggest that SBB and TrueBlack® outperform other reagents in AF suppression on formaldehyde-fixed myocardial samples in both protocols. Furthermore, we inspected the quenching performance of SBB and TrueBlack® on major autofluorescent myocardial structures and evaluated their influence on IF imaging. The results suggest that SBB outperforms TrueBlack® in quenching major autofluorescent structures, while TrueBlack® excels in preserving IF labeling signal. Surprisingly, we found the treatment of NaBH4 increased AF signal and enhanced the AF contrast of major autofluorescent structures. This finding suggests that NaBH4 has the potential to act as an AF enhancer and may facilitate the interpretation of myocardial structures without the need for counterstaining.
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Affiliation(s)
- Zhao Zhang
- Department of Bioengineering, Clemson University, Clemson, SC.
| | - Hongming Fan
- Department of Bioengineering, Clemson University, Clemson, SC.
| | - William Richardson
- Department of Chemical Engineering, University of Arkansas, Fayetteville, AR.
| | - Bruce Z Gao
- Department of Bioengineering, Clemson University, Clemson, SC.
| | - Tong Ye
- Department of Bioengineering, Clemson University, Clemson, SC; Department of Regenerative Medicine and Cell Biology, Medical University of South Carolina, Charleston, SC.
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6
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Sodimu O, Almasian M, Gan P, Hassan S, Zhang X, Liu N, Ding Y. Light sheet imaging and interactive analysis of the cardiac structure in neonatal mice. JOURNAL OF BIOPHOTONICS 2023; 16:e202200278. [PMID: 36624523 PMCID: PMC10192002 DOI: 10.1002/jbio.202200278] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 11/25/2022] [Accepted: 12/24/2022] [Indexed: 05/17/2023]
Abstract
Light-sheet microscopy (LSM) enables us to strengthen the understanding of cardiac development, injury, and regeneration in mammalian models. This emerging technique decouples laser illumination and fluorescence detection to investigate cardiac micro-structure and function with a high spatial resolution while minimizing photodamage and maximizing penetration depth. To unravel the potential of volumetric imaging in cardiac development and repair, we sought to integrate our in-house LSM, Adipo-Clear, and virtual reality (VR) with neonatal mouse hearts. We demonstrate the use of Adipo-Clear to render mouse hearts transparent, the development of our in-house LSM to capture the myocardial architecture within the intact heart, and the integration of VR to explore, measure, and assess regions of interests in an interactive manner. Collectively, we have established an innovative and holistic strategy for image acquisition and interpretation, providing an entry point to assess myocardial micro-architecture throughout the entire mammalian heart for the understanding of cardiac morphogenesis.
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Affiliation(s)
- Oluwatofunmi Sodimu
- Department of Bioengineering, Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas, Richardson, TX 75080, USA
| | - Milad Almasian
- Department of Bioengineering, Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas, Richardson, TX 75080, USA
| | - Peiheng Gan
- Hamon Center for Regenerative Science and Medicine, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Sohail Hassan
- Department of Bioengineering, Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas, Richardson, TX 75080, USA
| | - Xinyuan Zhang
- Department of Bioengineering, Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas, Richardson, TX 75080, USA
| | - Ning Liu
- Hamon Center for Regenerative Science and Medicine, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Yichen Ding
- Department of Bioengineering, Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas, Richardson, TX 75080, USA
- Hamon Center for Regenerative Science and Medicine, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Center for Imaging and Surgical Innovation, The University of Texas at Dallas, Richardson, TX, 75080, USA
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7
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Zhan YJ, Zhang SW, Zhu S, Jiang N. Tissue Clearing and Its Application in the Musculoskeletal System. ACS OMEGA 2023; 8:1739-1758. [PMID: 36687066 PMCID: PMC9850472 DOI: 10.1021/acsomega.2c05180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 12/07/2022] [Indexed: 06/17/2023]
Abstract
The musculoskeletal system is an integral part of the human body. Currently, most skeletal muscle research is conducted through conventional histological sections due to technological limitations and the structure of skeletal muscles. For studying and observing bones and muscles, there is an urgent need for three-dimensional, objective imaging technologies. Optical tissue-clearing technologies seem to offer a novel and accessible approach to research of the musculoskeletal system. Using this approach, the components which cause refraction or prevent light from penetrating into the tissue are physically and chemically eliminated; then the liquid in the tissue is replaced with high-refractive-index chemicals. This innovative method, which allows three-dimensional reconstruction at the cellular and subcellular scale, significantly improves imaging depth and resolution. Nonetheless, this technology was not originally developed to image bones or muscles. When compared with brain and nerve organs which have attracted considerable attention in this field, the musculoskeletal system contains fewer lipids and has high levels of hemoglobin, collagen fibers, and inorganic hydroxyapatite crystals. Currently, three-dimensional imaging methods are widely used in the diagnosis and treatment of skeletal and muscular illnesses. In this regard, it is vitally important to review and evaluate the optical tissue-clearing technologies currently employed in the musculoskeletal system, so that researchers may make an informed decision. In the meantime, this study offers guidelines and recommendations for expanding the use of this technology in the musculoskeletal system.
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Affiliation(s)
- Yan-Jing Zhan
- State
Key Laboratory of Oral Diseases & National Clinical Research Center
for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China
| | - Shi-Wen Zhang
- State
Key Laboratory of Oral Diseases & National Clinical Research Center
for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China
- West
China Hospital of Stomatology, Sichuan University, Chengdu 610041, China
| | - SongSong Zhu
- State
Key Laboratory of Oral Diseases & National Clinical Research Center
for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China
- West
China Hospital of Stomatology, Sichuan University, Chengdu 610041, China
| | - Nan Jiang
- State
Key Laboratory of Oral Diseases & National Clinical Research Center
for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China
- West
China Hospital of Stomatology, Sichuan University, Chengdu 610041, China
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8
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Teranikar T, Villarreal C, Salehin N, Ijaseun T, Lim J, Dominguez C, Nguyen V, Cao H, Chuong C, Lee J. SCALE SPACE DETECTOR FOR ANALYZING SPATIOTEMPORAL VENTRICULAR CONTRACTILITY AND NUCLEAR MORPHOGENESIS IN ZEBRAFISH. iScience 2022; 25:104876. [PMID: 36034231 PMCID: PMC9404658 DOI: 10.1016/j.isci.2022.104876] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 04/01/2022] [Accepted: 07/29/2022] [Indexed: 11/15/2022] Open
Abstract
In vivo quantitative assessment of structural and functional biomarkers is essential for characterizing the pathophysiology of congenital disorders. In this regard, fixed tissue analysis has offered revolutionary insights into the underlying cellular architecture. However, histological analysis faces major drawbacks with respect to lack of spatiotemporal sampling and tissue artifacts during sample preparation. This study demonstrates the potential of light sheet fluorescence microscopy (LSFM) as a non-invasive, 4D (3days + time) optical sectioning tool for revealing cardiac mechano-transduction in zebrafish. Furthermore, we have described the utility of a scale and size-invariant feature detector, for analyzing individual morphology of fused cardiomyocyte nuclei and characterizing zebrafish ventricular contractility. Cardiac defect genes in humans have corresponding zebrafish orthologs Light sheet modality is very effective for non-invasive, 4D modeling of zebrafish Hessian detector is robust to varying nuclei scales and geometric transformations Watershed filter is effective for separating fused cellular volumes
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Affiliation(s)
- Tanveer Teranikar
- Joint Department of Bioengineering, UT Arlington/UT Southwestern, Arlington, TX, USA
| | - Cameron Villarreal
- Joint Department of Bioengineering, UT Arlington/UT Southwestern, Arlington, TX, USA
| | - Nabid Salehin
- Joint Department of Bioengineering, UT Arlington/UT Southwestern, Arlington, TX, USA
| | - Toluwani Ijaseun
- Joint Department of Bioengineering, UT Arlington/UT Southwestern, Arlington, TX, USA
| | - Jessica Lim
- Joint Department of Bioengineering, UT Arlington/UT Southwestern, Arlington, TX, USA
| | - Cynthia Dominguez
- Joint Department of Bioengineering, UT Arlington/UT Southwestern, Arlington, TX, USA
| | - Vivian Nguyen
- Martin High School/ UT Arlington, Arlington, TX, USA
| | - Hung Cao
- Department of Electrical Engineering, UC Irvine, Irvine, CA, USA
| | - Cheng–Jen Chuong
- Joint Department of Bioengineering, UT Arlington/UT Southwestern, Arlington, TX, USA
| | - Juhyun Lee
- Joint Department of Bioengineering, UT Arlington/UT Southwestern, Arlington, TX, USA
- Department of Medical Education, TCU and UNTHSC School of Medicine, Fort Worth, TX 76107, USA
- Corresponding author
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9
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Calisesi G, Ancora D, Tacconi C, Fantin A, Perin P, Pizzala R, Valentini G, Farina A, Bassi A. Enlarged Field of View in Spatially Modulated Selective Volume Illumination Microscopy. MICROSCOPY AND MICROANALYSIS : THE OFFICIAL JOURNAL OF MICROSCOPY SOCIETY OF AMERICA, MICROBEAM ANALYSIS SOCIETY, MICROSCOPICAL SOCIETY OF CANADA 2022; 28:1-10. [PMID: 35698867 DOI: 10.1017/s1431927622012077] [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
Three-dimensional fluorescence microscopy is a key technology for inspecting biological samples, ranging from single cells to entire organisms. We recently proposed a novel approach called spatially modulated Selective Volume Illumination Microscopy (smSVIM) to suppress illumination artifacts and to reduce the required number of measurements using an LED source. Here, we discuss a new strategy based on smSVIM for imaging large transparent specimens or voluminous chemically cleared tissues. The strategy permits steady mounting of the sample, achieving uniform resolution over a large field of view thanks to the synchronized motion of the illumination lens and the camera rolling shutter. Aided by a tailored deconvolution method for image reconstruction, we demonstrate significant improvement of the resolution at different magnification using samples of varying sizes and spatial features.
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Affiliation(s)
| | - Daniele Ancora
- Department of Physics, Politecnico di Milano, 20133Milano, Italy
| | - Carlotta Tacconi
- Department of Biosciences, University of Milano, 20133Milano, Italy
| | | | - Paola Perin
- Department of Brain and Behaviour Science, University of Pavia, 27100Pavia, Italy
| | - Roberto Pizzala
- Department of Molecular Medicine, University of Pavia, 27100Pavia, Italy
| | - Gianluca Valentini
- Department of Physics, Politecnico di Milano, 20133Milano, Italy
- Istituto di Fotonica e Nanotecnologie, Consiglio Nazionale delle ricerche, 20133Milano, Italy
| | - Andrea Farina
- Istituto di Fotonica e Nanotecnologie, Consiglio Nazionale delle ricerche, 20133Milano, Italy
| | - Andrea Bassi
- Department of Physics, Politecnico di Milano, 20133Milano, Italy
- Istituto di Fotonica e Nanotecnologie, Consiglio Nazionale delle ricerche, 20133Milano, Italy
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10
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Teranikar T, Lim J, Ijaseun T, Lee J. Development of Planar Illumination Strategies for Solving Mysteries in the Sub-Cellular Realm. Int J Mol Sci 2022; 23:1643. [PMID: 35163562 PMCID: PMC8835835 DOI: 10.3390/ijms23031643] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 12/22/2021] [Accepted: 01/25/2022] [Indexed: 02/04/2023] Open
Abstract
Optical microscopy has vastly expanded the frontiers of structural and functional biology, due to the non-invasive probing of dynamic volumes in vivo. However, traditional widefield microscopy illuminating the entire field of view (FOV) is adversely affected by out-of-focus light scatter. Consequently, standard upright or inverted microscopes are inept in sampling diffraction-limited volumes smaller than the optical system's point spread function (PSF). Over the last few decades, several planar and structured (sinusoidal) illumination modalities have offered unprecedented access to sub-cellular organelles and 4D (3D + time) image acquisition. Furthermore, these optical sectioning systems remain unaffected by the size of biological samples, providing high signal-to-noise (SNR) ratios for objective lenses (OLs) with long working distances (WDs). This review aims to guide biologists regarding planar illumination strategies, capable of harnessing sub-micron spatial resolution with a millimeter depth of penetration.
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Affiliation(s)
| | | | | | - Juhyun Lee
- Department of Bioengineering, University of Texas at Arlington, Arlington, TX 75022, USA; (T.T.); (J.L.); (T.I.)
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11
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Malekpour A, Rahmanifar F. Conventional histomorphometry and fast free of acrylamide clearing tissue (FACT) visualization of sciatic nerve in chicken ( Gallus domesticus). VETERINARY RESEARCH FORUM : AN INTERNATIONAL QUARTERLY JOURNAL 2021; 12:167-173. [PMID: 34345382 PMCID: PMC8328249 DOI: 10.30466/vrf.2019.98930.2361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Accepted: 04/17/2019] [Indexed: 11/06/2022]
Abstract
Histomorphometry and use of the fast free of acrylamide clearing tissue (FACT) protocol were studied on the sciatic nerve in chicken (Gallus domesticus). In the first part of the study, the sciatic nerves of 20 chickens of four age groups (7, 14, 26 and 40 days) were studied (n=5 birds per age class). Their sciatic nerve samples were stained with Hematoxylin and Eosin and Masson's trichrome and were histomorphometrically evaluated. In the second part of the study, FACT protocol was applied on the sciatic nerve of a 26 days old chicken. After clearing of 1.00 mm-thick sciatic nerve sections, they were immunolabelled using Hoechst for nuclei staining and recorded by a Z-stack motorized fluorescent microscope. In the conventional histo-morphometry, the epineurium, perineurium and endoneurium were thicker and the nerve bundle diameter was bigger in the left sciatic nerve of chicken of all age groups compared to the right sciatic nerve. On the contrary, the axon diameter and the myelinated nerve fiber diameter were bigger, the myelin sheath was thicker, the nodes of Ranvier intervals were higher and the density of myelinated nerve fibers was also higher in the right sciatic nerve compared to the left one. In conclusion, histomorphometric parameters in the left and right sciatic nerve during chicken growth were significantly different. Furthermore, the FACT protocol could be used for the 3D imaging of the chicken sciatic nerve and its immunostained evaluation.
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Affiliation(s)
- Abdolrasoul Malekpour
- DVM Graduate, School of Veterinary Medicine, Shiraz University, Shiraz, Iran.,Legal Medicine Research Center, Legal Medicine Organization, Tehran, Iran
| | - Farhad Rahmanifar
- Department of Basic Sciences, School of Veterinary Medicine, Shiraz University, Shiraz, Iran
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12
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Chang CC, Chu A, Meyer S, Ding Y, Sun MM, Abiri P, Baek KI, Gudapati V, Ding X, Guihard P, Bostrom KI, Li S, Gordon LK, Zheng JJ, Hsiai TK. Three-dimensional Imaging Coupled with Topological Quantification Uncovers Retinal Vascular Plexuses Undergoing Obliteration. Theranostics 2021; 11:1162-1175. [PMID: 33391527 PMCID: PMC7738897 DOI: 10.7150/thno.53073] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 10/19/2020] [Indexed: 02/06/2023] Open
Abstract
Introduction: Murine models provide microvascular insights into the 3-D network disarray seen in retinopathy and cardiovascular diseases. Light-sheet fluorescence microscopy (LSFM) has emerged to capture retinal vasculature in 3-D, allowing for assessment of the progression of retinopathy and the potential to screen new therapeutic targets in mice. We hereby coupled LSFM, also known as selective plane illumination microscopy, with topological quantification, to characterize the retinal vascular plexuses undergoing preferential obliteration. Method and Result: In postnatal mice, we revealed the 3-D retinal microvascular network in which the vertical sprouts bridge the primary (inner) and secondary (outer) plexuses, whereas, in an oxygen-induced retinopathy (OIR) mouse model, we demonstrated preferential obliteration of the secondary plexus and bridging vessels with a relatively unscathed primary plexus. Using clustering coefficients and Euler numbers, we computed the local versus global vascular connectivity. While local connectivity was preserved (p > 0.05, n = 5 vs. normoxia), the global vascular connectivity in hyperoxia-exposed retinas was significantly reduced (p < 0.05, n = 5 vs. normoxia). Applying principal component analysis (PCA) for auto-segmentation of the vertical sprouts, we corroborated the obliteration of the vertical sprouts bridging the secondary plexuses, as evidenced by impaired vascular branching and connectivity, and reduction in vessel volumes and lengths (p < 0.05, n = 5 vs. normoxia). Conclusion: Coupling 3-D LSFM with topological quantification uncovered the retinal vasculature undergoing hyperoxia-induced obliteration from the secondary (outer) plexus to the vertical sprouts. The use of clustering coefficients, Euler's number, and PCA provided new network insights into OIR-associated vascular obliteration, with translational significance for investigating therapeutic interventions to prevent visual impairment.
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Affiliation(s)
- Chih-Chiang Chang
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA
| | - Alison Chu
- Division of Neonatology and Developmental Biology, Department of Pediatrics, David Geffen School of Medicine at UCLA, Los Angeles, CA
| | - Scott Meyer
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA
| | - Yichen Ding
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA
| | - Michel M. Sun
- Department of Ophthalmology, Stein Eye Institute, David Geffen School of Medicine at UCLA, Los Angeles, CA
| | - Parinaz Abiri
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA
| | - Kyung In Baek
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA
| | - Varun Gudapati
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA
| | - Xili Ding
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA
| | - Pierre Guihard
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA
| | - Kristina I. Bostrom
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA
- Greater Los Angeles VA Healthcare System, Los Angeles, CA
| | - Song Li
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA
| | - Lynn K. Gordon
- Department of Ophthalmology, Stein Eye Institute, David Geffen School of Medicine at UCLA, Los Angeles, CA
| | - Jie J. Zheng
- Department of Ophthalmology, Stein Eye Institute, David Geffen School of Medicine at UCLA, Los Angeles, CA
| | - Tzung K. Hsiai
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA
- Greater Los Angeles VA Healthcare System, Los Angeles, CA
- Medical Engineering, California Institute of Technology, Pasadena, CA
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13
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Ding Y, Gudapati V, Lin R, Fei Y, Sevag Packard RR, Song S, Chang CC, Baek KI, Wang Z, Roustaei M, Kuang D, Jay Kuo CC, Hsiai TK. Saak Transform-Based Machine Learning for Light-Sheet Imaging of Cardiac Trabeculation. IEEE Trans Biomed Eng 2021; 68:225-235. [PMID: 32365015 PMCID: PMC7606319 DOI: 10.1109/tbme.2020.2991754] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
OBJECTIVE Recent advances in light-sheet fluorescence microscopy (LSFM) enable 3-dimensional (3-D) imaging of cardiac architecture and mechanics in toto. However, segmentation of the cardiac trabecular network to quantify cardiac injury remains a challenge. METHODS We hereby employed "subspace approximation with augmented kernels (Saak) transform" for accurate and efficient quantification of the light-sheet image stacks following chemotherapy-treatment. We established a machine learning framework with augmented kernels based on the Karhunen-Loeve Transform (KLT) to preserve linearity and reversibility of rectification. RESULTS The Saak transform-based machine learning enhances computational efficiency and obviates iterative optimization of cost function needed for neural networks, minimizing the number of training datasets for segmentation in our scenario. The integration of forward and inverse Saak transforms can also serve as a light-weight module to filter adversarial perturbations and reconstruct estimated images, salvaging robustness of existing classification methods. The accuracy and robustness of the Saak transform are evident following the tests of dice similarity coefficients and various adversary perturbation algorithms, respectively. The addition of edge detection further allows for quantifying the surface area to volume ratio (SVR) of the myocardium in response to chemotherapy-induced cardiac remodeling. CONCLUSION The combination of Saak transform, random forest, and edge detection augments segmentation efficiency by 20-fold as compared to manual processing. SIGNIFICANCE This new methodology establishes a robust framework for post light-sheet imaging processing, and creating a data-driven machine learning for automated quantification of cardiac ultra-structure.
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Affiliation(s)
- Yichen Ding
- Henry Samueli School of Engineering and David Geffen School of Medicine, University of California, Los Angeles, CA 90095 USA
| | - Varun Gudapati
- Henry Samueli School of Engineering and David Geffen School of Medicine, University of California, Los Angeles, CA 90095 USA
| | - Ruiyuan Lin
- Ming-Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA 90089 USA
| | - Yanan Fei
- Ming-Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA 90089 USA
| | - René R Sevag Packard
- Henry Samueli School of Engineering and David Geffen School of Medicine, University of California, Los Angeles, CA 90095 USA
| | - Sibo Song
- Ming-Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA 90089 USA
| | - Chih-Chiang Chang
- Henry Samueli School of Engineering and David Geffen School of Medicine, University of California, Los Angeles, CA 90095 USA
| | - Kyung In Baek
- Henry Samueli School of Engineering and David Geffen School of Medicine, University of California, Los Angeles, CA 90095 USA
| | - Zhaoqiang Wang
- Henry Samueli School of Engineering and David Geffen School of Medicine, University of California, Los Angeles, CA 90095 USA
| | - Mehrdad Roustaei
- Henry Samueli School of Engineering and David Geffen School of Medicine, University of California, Los Angeles, CA 90095 USA
| | - Dengfeng Kuang
- Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, and Institute of Modern Optics, Nankai University, Tianjin 300350, China
| | - C.-C. Jay Kuo
- Ming-Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA 90089 USA
| | - Tzung K. Hsiai
- Henry Samueli School of Engineering and David Geffen School of Medicine, University of California, Los Angeles, CA 90095 USA
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14
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Teranikar T, Messerschmidt V, Lim J, Bailey Z, Chiao JC, Cao H, Liu J, Lee J. Correcting anisotropic intensity in light sheet images using dehazing and image morphology. APL Bioeng 2020; 4:036103. [PMID: 32637858 PMCID: PMC7332301 DOI: 10.1063/1.5144613] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Accepted: 06/10/2020] [Indexed: 01/10/2023] Open
Abstract
Light-sheet fluorescence microscopy (LSFM) provides access to multi-dimensional and multi-scale in vivo imaging of animal models with highly coherent volumetric reconstruction of the tissue morphology, via a focused laser light sheet. The orthogonal illumination and detection LSFM pathways account for minimal photobleaching and deep tissue optical sectioning through different perspective views. Although rotation of the sample and deep tissue scanning constitutes major advantages of LSFM, images may suffer from intrinsic problems within the modality, such as light mismatch of refractive indices between the sample and mounting media and varying quantum efficiency across different depths. To overcome these challenges, we hereby introduce an illumination correction technique integrated with depth detail amelioration to achieve symmetric contrast in large field-of-view images acquired using a low power objective lens. Due to an increase in angular dispersion of emitted light flux with the depth, we combined the dehazing algorithm with morphological operations to enhance poorly separated overlapping structures with subdued intensity. The proposed method was tested on different LSFM modalities to illustrate its applicability on correcting anisotropic illumination affecting the volumetric reconstruction of the fluorescently tagged region of interest.
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Affiliation(s)
- Tanveer Teranikar
- Joint Department of Bioengineering, UT Arlington/UT Southwestern, Arlington, Texas 76010, USA
| | - Victoria Messerschmidt
- Joint Department of Bioengineering, UT Arlington/UT Southwestern, Arlington, Texas 76010, USA
| | - Jessica Lim
- Joint Department of Bioengineering, UT Arlington/UT Southwestern, Arlington, Texas 76010, USA
| | - Zach Bailey
- Joint Department of Bioengineering, UT Arlington/UT Southwestern, Arlington, Texas 76010, USA
| | - Jung-Chih Chiao
- Department of Electrical Engineering, Southern Methodist University, Dallas, Texas 75205, USA
| | - Hung Cao
- Department of Electrical Engineering, UC Irvine, Irvine, California 92697, USA
| | - Jiandong Liu
- Department of Pathology and Laboratory Medicine, University of North Carolina, Chapel Hill, North Carolina 27599, USA
| | - Juhyun Lee
- Joint Department of Bioengineering, UT Arlington/UT Southwestern, Arlington, Texas 76010, USA
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15
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Xu X, Chen J, Zhang B, Huang L, Zheng Y, Si K, Duan S, Gong W. Enlarged field of view based on Schwartz modulation for light sheet fluorescence microscopy in deep tissue. OPTICS LETTERS 2020; 45:4851-4854. [PMID: 32870874 DOI: 10.1364/ol.398985] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 07/26/2020] [Indexed: 06/11/2023]
Abstract
The combination of light sheet fluorescence microscopy (LSFM) and the optical clearing method can achieve fast three-dimensional high-resolution imaging. However, there is an essential contradiction between the field of view (FoV) and spatial resolution. Also, aberration and scattering still exist after tissue clearing, which seriously limits the imaging depth of LSFM. Here we propose a Schwartz modulation method and implement it in LSFM based on a quasi-Bessel beam to enlarge the imaging FoV without sacrificing its spatial resolution. The simulation results show that the FoV of the LSFM is enlarged by a factor of 1.73 compared to the Bessel beam. The capability of extremely fast decay along the optical axis makes Schwartz modulation more tolerant for scattering, indicating potential applications for deep tissue imaging. Also, the capability of sidelobe suppression effectively decreases unnecessary fluorescence excitation and photobleaching.
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16
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Di Bona A, Vita V, Costantini I, Zaglia T. Towards a clearer view of sympathetic innervation of cardiac and skeletal muscles. PROGRESS IN BIOPHYSICS AND MOLECULAR BIOLOGY 2020; 154:80-93. [DOI: 10.1016/j.pbiomolbio.2019.07.003] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 07/02/2019] [Accepted: 07/11/2019] [Indexed: 02/07/2023]
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17
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Wen L, Fan Z, Mikulski Z, Ley K. Imaging of the immune system - towards a subcellular and molecular understanding. J Cell Sci 2020; 133:133/5/jcs234922. [PMID: 32139598 DOI: 10.1242/jcs.234922] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Immune responses involve many types of leukocytes that traffic to the site of injury, recognize the insult and respond appropriately. Imaging of the immune system involves a set of methods and analytical tools that are used to visualize immune responses at the cellular and molecular level as they occur in real time. We will review recent and emerging technological advances in optical imaging, and their application to understanding the molecular and cellular responses of neutrophils, macrophages and lymphocytes. Optical live-cell imaging provides deep mechanistic insights at the molecular, cellular, tissue and organism levels. Live-cell imaging can capture quantitative information in real time at subcellular resolution with minimal phototoxicity and repeatedly in the same living cells or in accessible tissues of the living organism. Advanced FRET probes allow tracking signaling events in live cells. Light-sheet microscopy allows for deeper tissue penetration in optically clear samples, enriching our understanding of the higher-level organization of the immune response. Super-resolution microscopy offers insights into compartmentalized signaling at a resolution beyond the diffraction limit, approaching single-molecule resolution. This Review provides a current perspective on live-cell imaging in vitro and in vivo with a focus on the assessment of the immune system.
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Affiliation(s)
- Lai Wen
- Laboratory of Inflammation Biology, La Jolla Institute for Immunology, 9420 Athena Circle Drive, La Jolla, CA 92037, USA
| | - Zhichao Fan
- Department of Immunology, School of Medicine, UConn Health, 263 Farmington Avenue, Farmington, CT 06030, USA
| | - Zbigniew Mikulski
- Microscopy Core Facility, La Jolla Institute for Immunology, 9420 Athena Circle Drive, La Jolla, CA 92037, USA
| | - Klaus Ley
- Laboratory of Inflammation Biology, La Jolla Institute for Immunology, 9420 Athena Circle Drive, La Jolla, CA 92037, USA .,Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
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18
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Becher T, Riascos-Bernal DF, Kramer DJ, Almonte VM, Chi J, Tong T, Oliveira-Paula GH, Koleilat I, Chen W, Cohen P, Sibinga NES. Three-Dimensional Imaging Provides Detailed Atherosclerotic Plaque Morphology and Reveals Angiogenesis After Carotid Artery Ligation. Circ Res 2020; 126:619-632. [PMID: 31914850 DOI: 10.1161/circresaha.119.315804] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
RATIONALE Remodeling of the vessel wall and the formation of vascular networks are dynamic processes that occur during mammalian embryonic development and in adulthood. Plaque development and excessive neointima formation are hallmarks of atherosclerosis and vascular injury. As our understanding of these complex processes evolves, there is a need to develop new imaging techniques to study underlying mechanisms. OBJECTIVE We used tissue clearing and light-sheet microscopy for 3-dimensional (3D) profiling of the vascular response to carotid artery ligation and induction of atherosclerosis in mouse models. METHODS AND RESULTS Adipo-Clear and immunolabeling in combination with light-sheet microscopy were applied to image carotid arteries and brachiocephalic arteries, allowing for 3D reconstruction of vessel architecture. Entire 3D neointima formations with different geometries were observed within the carotid artery and scored by volumetric analysis. Additionally, we identified a CD31-positive adventitial plexus after ligation of the carotid artery that evolved and matured over time. We also used this method to characterize plaque extent and composition in the brachiocephalic arteries of ApoE-deficient mice on high-fat diet. The plaques exhibited inter-animal differences in terms of plaque volume, geometry, and ratio of acellular core to plaque volume. A 3D reconstruction of the endothelium overlying the plaque was also generated. CONCLUSIONS We present a novel approach to characterize vascular remodeling in adult mice using Adipo-Clear in combination with light-sheet microscopy. Our method reconstructs 3D neointima formation after arterial injury and allows for volumetric analysis of remodeling, in addition to revealing angiogenesis and maturation of a plexus surrounding the carotid artery. This method generates complete 3D reconstructions of atherosclerotic plaques and uncovers their volume, geometry, acellular component, surface, and spatial position within the brachiocephalic arteries. Our approach may be used in a number of mouse models of cardiovascular disease to assess vessel geometry and volume. Visual Overview: An online visual overview is available for this article.
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Affiliation(s)
- Tobias Becher
- From the Laboratory of Molecular Metabolism (T.B., D.J.K., J.C., P.C.), The Rockefeller University, NY.,DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Germany (T.B.).,First Department of Medicine (Division of Cardiology), University Medical Center Mannheim, Germany (T.B.)
| | - Dario F Riascos-Bernal
- (Cardiology Division) Department of Medicine, Department of Developmental and Molecular Biology, Wilf Family Cardiovascular Research Institute (D.F.R.-B., V.M.A., G.H.O.-P., N.E.S.S.), Albert Einstein College of Medicine, Bronx, NY
| | - Daniel J Kramer
- From the Laboratory of Molecular Metabolism (T.B., D.J.K., J.C., P.C.), The Rockefeller University, NY
| | - Vanessa M Almonte
- (Cardiology Division) Department of Medicine, Department of Developmental and Molecular Biology, Wilf Family Cardiovascular Research Institute (D.F.R.-B., V.M.A., G.H.O.-P., N.E.S.S.), Albert Einstein College of Medicine, Bronx, NY
| | - Jingy Chi
- From the Laboratory of Molecular Metabolism (T.B., D.J.K., J.C., P.C.), The Rockefeller University, NY
| | - Tao Tong
- Bio-Imaging Resource Center (T.T.), The Rockefeller University, NY
| | - Gustavo H Oliveira-Paula
- (Cardiology Division) Department of Medicine, Department of Developmental and Molecular Biology, Wilf Family Cardiovascular Research Institute (D.F.R.-B., V.M.A., G.H.O.-P., N.E.S.S.), Albert Einstein College of Medicine, Bronx, NY
| | - Issam Koleilat
- Department of Cardiothoracic and Vascular Surgery (Division of Vascular Surgery), Montefiore Medical Center, Bronx, NY (I.K.)
| | - Wei Chen
- Department of Medicine (Nephrology Division) (W.C.), Albert Einstein College of Medicine, Bronx, NY.,Department of Medicine, University of Rochester School of Medicine and Dentistry, NY (W.C.)
| | - Paul Cohen
- From the Laboratory of Molecular Metabolism (T.B., D.J.K., J.C., P.C.), The Rockefeller University, NY
| | - Nicholas E S Sibinga
- (Cardiology Division) Department of Medicine, Department of Developmental and Molecular Biology, Wilf Family Cardiovascular Research Institute (D.F.R.-B., V.M.A., G.H.O.-P., N.E.S.S.), Albert Einstein College of Medicine, Bronx, NY
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19
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Gradinaru V, Treweek J, Overton K, Deisseroth K. Hydrogel-Tissue Chemistry: Principles and Applications. Annu Rev Biophys 2019; 47:355-376. [PMID: 29792820 PMCID: PMC6359929 DOI: 10.1146/annurev-biophys-070317-032905] [Citation(s) in RCA: 81] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Over the past five years, a rapidly developing experimental approach has enabled high-resolution and high-content information retrieval from intact multicellular animal (metazoan) systems. New chemical and physical forms are created in the hydrogel-tissue chemistry process, and the retention and retrieval of crucial phenotypic information regarding constituent cells and molecules (and their joint interrelationships) are thereby enabled. For example, rich data sets defining both single-cell-resolution gene expression and single-cell-resolution activity during behavior can now be collected while still preserving information on three-dimensional positioning and/or brain-wide wiring of those very same neurons-even within vertebrate brains. This new approach and its variants, as applied to neuroscience, are beginning to illuminate the fundamental cellular and chemical representations of sensation, cognition, and action. More generally, reimagining metazoans as metareactants-or positionally defined three-dimensional graphs of constituent chemicals made available for ongoing functionalization, transformation, and readout-is stimulating innovation across biology and medicine.
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Affiliation(s)
- Viviana Gradinaru
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125, USA;
| | - Jennifer Treweek
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125, USA;
| | - Kristin Overton
- Department of Bioengineering, Stanford University, Stanford, California 94305, USA;
| | - Karl Deisseroth
- Department of Bioengineering, Stanford University, Stanford, California 94305, USA; .,Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California 94305, USA.,H oward Hughes Medical Institute, Stanford University, Stanford, California 94305, USA
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20
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Baek KI, Ding Y, Chang CC, Chang M, Sevag Packard RR, Hsu JJ, Fei P, Hsiai TK. Advanced microscopy to elucidate cardiovascular injury and regeneration: 4D light-sheet imaging. PROGRESS IN BIOPHYSICS AND MOLECULAR BIOLOGY 2018; 138:105-115. [PMID: 29752956 PMCID: PMC6226366 DOI: 10.1016/j.pbiomolbio.2018.05.003] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 04/30/2018] [Accepted: 05/04/2018] [Indexed: 12/20/2022]
Abstract
The advent of 4-dimensional (4D) light-sheet fluorescence microscopy (LSFM) has provided an entry point for rapid image acquisition to uncover real-time cardiovascular structure and function with high axial resolution and minimal photo-bleaching/-toxicity. We hereby review the fundamental principles of our LSFM system to investigate cardiovascular morphogenesis and regeneration after injury. LSFM enables us to reveal the micro-circulation of blood cells in the zebrafish embryo and assess cardiac ventricular remodeling in response to chemotherapy-induced injury using an automated segmentation approach. Next, we review two distinct mechanisms underlying zebrafish vascular regeneration following tail amputation. We elucidate the role of endothelial Notch signaling to restore vascular regeneration after exposure to the redox active ultrafine particles (UFP) in air pollutants. By manipulating the blood viscosity and subsequently, endothelial wall shear stress, we demonstrate the mechanism whereby hemodynamic shear forces impart both mechanical and metabolic effects to modulate vascular regeneration. Overall, the implementation of 4D LSFM allows for the elucidation of mechanisms governing cardiovascular injury and regeneration with high spatiotemporal resolution.
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Affiliation(s)
- Kyung In Baek
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
| | - Yichen Ding
- Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA 90095, USA.
| | - Chih-Chiang Chang
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
| | - Megan Chang
- Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA 90095, USA.
| | - René R Sevag Packard
- Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA 90095, USA.
| | - Jeffrey J Hsu
- Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA 90095, USA.
| | - Peng Fei
- School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China.
| | - Tzung K Hsiai
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA 90095, USA; Medical Engineering, California Institute of Technology, Pasadena, CA 91106, USA.
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21
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Lin HCA, Déan-Ben XL, Reiss M, Schöttle V, Wahl-Schott CA, Efimov IR, Razansky D. Ultrafast Volumetric Optoacoustic Imaging of Whole Isolated Beating Mouse Heart. Sci Rep 2018; 8:14132. [PMID: 30237560 PMCID: PMC6148063 DOI: 10.1038/s41598-018-32317-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Accepted: 09/03/2018] [Indexed: 01/22/2023] Open
Abstract
The Langendorff-perfused heart technique has become the model of choice for multiparametric optical mapping of cardiac function and electrophysiology. However, photon scattering in tissues represents a significant drawback of the optical imaging approach, fundamentally limiting its mapping capacity to the heart surface. This work presents the first implementation of the optoacoustic approach for 4D imaging of the entire beating isolated mouse heart. The method combines optical excitation and acoustic detection to simultaneously render rich optical contrast and high spatio-temporal resolution at centimeter-scale depths. We demonstrate volumetric imaging of deeply located cardiac features, including the interventricular septum, chordae tendineae, and papillary muscles while further tracking the heart beat cycle and the motion of the pulmonary, mitral, and tricuspid valves in real time. The technique possesses a powerful combination between high imaging depth, fast volumetric imaging speed, functional and molecular imaging capacities not available with other imaging modalities currently used in cardiac research.
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Affiliation(s)
- Hsiao-Chun Amy Lin
- Institute for Biological and Medical Imaging (IBMI), Helmholtz Center Munich, Neuherberg, Germany.,Faculty of Medicine, Technical University of Munich, Munich, Germany
| | - Xosé Luís Déan-Ben
- Institute for Biological and Medical Imaging (IBMI), Helmholtz Center Munich, Neuherberg, Germany
| | - Michael Reiss
- Institute for Biological and Medical Imaging (IBMI), Helmholtz Center Munich, Neuherberg, Germany.,Faculty of Medicine, Technical University of Munich, Munich, Germany
| | - Verena Schöttle
- Center for Integrated Protein Science and Center for Drug Research, Department of Pharmacy, Ludwig Maximilians University of Munich, Munich, Germany
| | - Christian A Wahl-Schott
- Center for Integrated Protein Science and Center for Drug Research, Department of Pharmacy, Ludwig Maximilians University of Munich, Munich, Germany
| | - Igor R Efimov
- Department of Biomedical Engineering, George Washington University, Washington, DC 20052, USA
| | - Daniel Razansky
- Institute for Biological and Medical Imaging (IBMI), Helmholtz Center Munich, Neuherberg, Germany. .,Faculty of Medicine, Technical University of Munich, Munich, Germany.
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22
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Ding Y, Bailey Z, Messerschmidt V, Nie J, Bryant R, Rugonyi S, Fei P, Lee J, Hsiai TK. Light-sheet Fluorescence Microscopy for the Study of the Murine Heart. J Vis Exp 2018. [PMID: 30272656 DOI: 10.3791/57769] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Light-sheet fluorescence microscopy has been widely used for rapid image acquisition with a high axial resolution from micrometer to millimeter scale. Traditional light-sheet techniques involve the use of a single illumination beam directed orthogonally at sample tissue. Images of large samples that are produced using a single illumination beam contain stripes or artifacts and suffer from a reduced resolution due to the scattering and absorption of light by the tissue. This study uses a dual-sided illumination beam and a simplified CLARITY optical clearing technique for the murine heart. These techniques allow for deeper imaging by removing lipids from the heart and produce a large field of imaging, greater than 10 x 10 x 10 mm3. As a result, this strategy enables us to quantify the ventricular dimensions, track the cardiac lineage, and localize the spatial distribution of cardiac-specific proteins and ion-channels from the post-natal to adult mouse hearts with sufficient contrast and resolution.
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Affiliation(s)
- Yichen Ding
- Department of Bioengineering, University of California Los Angeles
| | - Zachary Bailey
- Department of Bioengineering, University of Texas at Arlington
| | | | - Jun Nie
- School of Optical and Electronic Information, Huazhong University of Science and Technology
| | - Richard Bryant
- Department of Bioengineering, University of Texas at Arlington
| | | | - Peng Fei
- School of Optical and Electronic Information, Huazhong University of Science and Technology
| | - Juhyun Lee
- Department of Bioengineering, University of California Los Angeles; Department of Bioengineering, University of Texas at Arlington;
| | - Tzung K Hsiai
- Department of Bioengineering, University of California Los Angeles;
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Zhang H, Dvornikov AV, Huttner IG, Ma X, Santiago CF, Fatkin D, Xu X. A Langendorff-like system to quantify cardiac pump function in adult zebrafish. Dis Model Mech 2018; 11:dmm.034819. [PMID: 30012855 PMCID: PMC6177000 DOI: 10.1242/dmm.034819] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Accepted: 07/10/2018] [Indexed: 12/22/2022] Open
Abstract
Zebrafish are increasingly used as a vertebrate model to study human cardiovascular disorders. Although heart structure and function are readily visualized in zebrafish embryos because of their optical transparency, the lack of effective tools for evaluating the hearts of older, nontransparent fish has been a major limiting factor. The recent development of high-frequency echocardiography has been an important advance for in vivo cardiac assessment, but it necessitates anesthesia and has limited ability to study acute interventions. We report the development of an alternative experimental ex vivo technique for quantifying heart size and function that resembles the Langendorff heart preparations that have been widely used in mammalian models. Dissected adult zebrafish hearts were perfused with a calcium-containing buffer, and a beat frequency was maintained with electrical stimulation. The impact of pacing frequency, flow rate and perfusate calcium concentration on ventricular performance (including end-diastolic and end-systolic volumes, ejection fraction, radial strain, and maximal velocities of shortening and relaxation) were evaluated and optimal conditions defined. We determined the effects of age on heart function in wild-type male and female zebrafish, and successfully detected hypercontractile and hypocontractile responses after adrenergic stimulation or doxorubicin treatment, respectively. Good correlations were found between indices of cardiac contractility obtained with high-frequency echocardiography and with the ex vivo technique in a subset of fish studied with both methods. The ex vivo beating heart preparation is a valuable addition to the cardiac function tool kit that will expand the use of adult zebrafish for cardiovascular research.
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Affiliation(s)
- Hong Zhang
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN 55902, USA.,Cardiovascular Surgery Department, the Second Xiangya Hospital of Central South University, Changsha 410011, China
| | - Alexey V Dvornikov
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN 55902, USA
| | - Inken G Huttner
- Molecular Cardiology Division, Victor Chang Cardiac Research Institute, Sydney, NSW 2010, Australia.,St. Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW 2052, Australia
| | - Xiao Ma
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN 55902, USA.,Clinical and Translational Sciences Track, Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic College of Medicine and Science, Rochester, MN 55092, USA
| | - Celine F Santiago
- Molecular Cardiology Division, Victor Chang Cardiac Research Institute, Sydney, NSW 2010, Australia.,St. Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW 2052, Australia
| | - Diane Fatkin
- Molecular Cardiology Division, Victor Chang Cardiac Research Institute, Sydney, NSW 2010, Australia.,St. Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW 2052, Australia.,Cardiology Department, St. Vincent's Hospital, Sydney, NSW 2010, Australia
| | - Xiaolei Xu
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN 55902, USA
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24
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Ding Y, Ma J, Langenbacher AD, Baek KI, Lee J, Chang CC, Hsu JJ, Kulkarni RP, Belperio J, Shi W, Ranjbarvaziri S, Ardehali R, Tintut Y, Demer LL, Chen JN, Fei P, Packard RRS, Hsiai TK. Multiscale light-sheet for rapid imaging of cardiopulmonary system. JCI Insight 2018; 3:121396. [PMID: 30135307 PMCID: PMC6141183 DOI: 10.1172/jci.insight.121396] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
The ability to image tissue morphogenesis in real-time and in 3-dimensions (3-D) remains an optical challenge. The advent of light-sheet fluorescence microscopy (LSFM) has advanced developmental biology and tissue regeneration research. In this review, we introduce a LSFM system in which the illumination lens reshapes a thin light-sheet to rapidly scan across a sample of interest while the detection lens orthogonally collects the imaging data. This multiscale strategy provides deep-tissue penetration, high-spatiotemporal resolution, and minimal photobleaching and phototoxicity, allowing in vivo visualization of a variety of tissues and processes, ranging from developing hearts in live zebrafish embryos to ex vivo interrogation of the microarchitecture of optically cleared neonatal hearts. Here, we highlight multiple applications of LSFM and discuss several studies that have allowed better characterization of developmental and pathological processes in multiple models and tissues. These findings demonstrate the capacity of multiscale light-sheet imaging to uncover cardiovascular developmental and regenerative phenomena.
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Affiliation(s)
- Yichen Ding
- Department of Medicine, David Geffen School of Medicine at UCLA, and
- Department of Bioengineering, UCLA, Los Angeles, California, USA
| | - Jianguo Ma
- Department of Medicine, David Geffen School of Medicine at UCLA, and
- School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing, China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beijing, China
| | - Adam D. Langenbacher
- Department of Molecular, Cell and Developmental Biology, UCLA, Los Angeles, California, USA
| | - Kyung In Baek
- Department of Bioengineering, UCLA, Los Angeles, California, USA
| | - Juhyun Lee
- Department of Bioengineering, UCLA, Los Angeles, California, USA
| | | | - Jeffrey J. Hsu
- Department of Medicine, David Geffen School of Medicine at UCLA, and
| | - Rajan P. Kulkarni
- Department of Medicine, David Geffen School of Medicine at UCLA, and
| | - John Belperio
- Department of Medicine, David Geffen School of Medicine at UCLA, and
| | - Wei Shi
- Developmental Biology and Regenerative Medicine Program, Department of Surgery, Children’s Hospital Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | | | - Reza Ardehali
- Department of Medicine, David Geffen School of Medicine at UCLA, and
| | - Yin Tintut
- Department of Medicine, David Geffen School of Medicine at UCLA, and
| | - Linda L. Demer
- Department of Medicine, David Geffen School of Medicine at UCLA, and
| | - Jau-Nian Chen
- Department of Molecular, Cell and Developmental Biology, UCLA, Los Angeles, California, USA
| | - Peng Fei
- Department of Medicine, David Geffen School of Medicine at UCLA, and
- School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, China
| | | | - Tzung K. Hsiai
- Department of Medicine, David Geffen School of Medicine at UCLA, and
- Department of Bioengineering, UCLA, Los Angeles, California, USA
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25
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Bozycki L, Łukasiewicz K, Matryba P, Pikula S. Whole-body clearing, staining and screening of calcium deposits in the mdx mouse model of Duchenne muscular dystrophy. Skelet Muscle 2018; 8:21. [PMID: 30025544 PMCID: PMC6053777 DOI: 10.1186/s13395-018-0168-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2018] [Accepted: 06/28/2018] [Indexed: 11/13/2022] Open
Abstract
Background Duchenne muscular dystrophy (DMD) is a fatal, X-linked genetic disorder. Although DMD is the most common form of muscular dystrophy, only two FDA-approved drugs were developed to delay its progression. In order to assess therapies for treating DMD, several murine models have recently been introduced. As the wide variety of murine models enlighten mechanisms underlying DMD pathology, the question on how to monitor the progression of the disease within the entire musculoskeletal system still remains to be answered. One considerable approach to monitor such progression is histological evaluation of calcium deposits within muscle biopsies. Although accurate, histology is limited to small tissue area and cannot be utilized to evaluate systemic progression of DMD. Therefore, we aimed to develop a methodology suitable for rapid and high-resolution screening of calcium deposits within the entire murine organism. Methods Procedures were performed on adult male C57BL/10-mdx and adult male C57BL mice. Animals were sacrificed, perfused, paraformaldehyde-fixed, and subjected to whole-body clearing using optimized perfusion-based CUBIC protocol. Next, cleared organisms were stained with alizarin red S to visualize calcium deposits and subjected to imaging. Results Study revealed presence of calcium deposits within degenerated muscles of the entire C57BL/10-mdx mouse organism. Calcified deposits were observed within skeletal muscles of the forelimb, diaphragm, lumbar region, pelvic region, and hindlimb. Calcified deposits found in quadriceps femoris, triceps brachii, and spinalis pars lumborum were characterized. Analysis of cumulative frequency distribution showed different distribution characteristics of calcified deposits in quadriceps femoris muscle in comparison to triceps brachii and spinalis pars lumborum muscles (p < 0.001) and quadriceps femoris vs spinalis pars lumborum (p < 0.001). Differences between the number of calcified deposits in selected muscles, their volume, and average volume were statistically significant. Conclusions In aggregate, we present new methodology to monitor calcium deposits in situ in the mouse model of Duchenne muscular dystrophy. Sample imaging with the presented setup is feasible and applicable for whole-organ/body imaging. Accompanied by the development of custom-made LSFM apparatus, it allows targeted and precise characterization of calcium deposits in cleared muscles. Hence, presented approach might be broadly utilized to monitor degree to which muscles of the entire organism are affected by the necrosis and how is it altered by the treatment or physical activity of the animal. We believe that this would be a valuable tool for studying organs alternations in a wide group of animal models of muscle dystrophy and bone-oriented diseases. Electronic supplementary material The online version of this article (10.1186/s13395-018-0168-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Lukasz Bozycki
- Laboratory of Biochemistry of Lipids, Nencki Institute of Experimental Biology, 3 Pasteur Street, 02-093, Warsaw, Poland.
| | - Kacper Łukasiewicz
- Laboratory of Molecular Basis of Behavior, Nencki Institute of Experimental Biology, 3 Pasteur Street, 02-093, Warsaw, Poland
| | - Paweł Matryba
- Laboratory of Neurobiology, Nencki Institute of Experimental Biology, 3 Pasteur Street, 02-093, Warsaw, Poland.,Department of Immunology, Medical University of Warsaw, 5 Nielubowicza Street, 02-097, Warsaw, Poland
| | - Slawomir Pikula
- Laboratory of Biochemistry of Lipids, Nencki Institute of Experimental Biology, 3 Pasteur Street, 02-093, Warsaw, Poland
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26
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Ding Y, Lee J, Hsu JJ, Chang CC, Baek KI, Ranjbarvaziri S, Ardehali R, Packard RRS, Hsiai TK. Light-Sheet Imaging to Elucidate Cardiovascular Injury and Repair. Curr Cardiol Rep 2018; 20:35. [PMID: 29574550 DOI: 10.1007/s11886-018-0979-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
PURPOSE OF REVIEW Real-time 3-dimensional (3-D) imaging of cardiovascular injury and regeneration remains challenging. We introduced a multi-scale imaging strategy that uses light-sheet illumination to enable applications of cardiovascular injury and repair in models ranging from zebrafish to rodent hearts. RECENT FINDINGS Light-sheet imaging enables rapid data acquisition with high spatiotemporal resolution and with minimal photo-bleaching or photo-toxicity. We demonstrated the capacity of this novel light-sheet approach for scanning a region of interest with specific fluorescence contrast, thereby providing axial and temporal resolution at the cellular level without stitching image columns or pivoting illumination beams during one-time imaging. This cutting-edge imaging technique allows for elucidating the differentiation of stem cells in cardiac regeneration, providing an entry point to discover novel micro-circulation phenomenon with clinical significance for injury and repair. These findings demonstrate the multi-scale applications of this novel light-sheet imaging strategy to advance research in cardiovascular development and regeneration.
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Affiliation(s)
- Yichen Ding
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA.,Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA
| | - Juhyun Lee
- Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA.,Department of Bioengineering, University of Texas at Arlington, Arlington, TX, 76010, USA
| | - Jeffrey J Hsu
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA
| | - Chih-Chiang Chang
- Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA
| | - Kyung In Baek
- Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA
| | - Sara Ranjbarvaziri
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA
| | - Reza Ardehali
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA
| | - René R Sevag Packard
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA
| | - Tzung K Hsiai
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA. .,Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA. .,Medical Engineering, California Institute of Technology, Pasadena, CA, 91106, USA.
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27
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Hsu JJ, Lu J, Umar S, Lee JT, Kulkarni RP, Ding Y, Chang CC, Hsiai TK, Hokugo A, Gkouveris I, Tetradis S, Nishimura I, Demer LL, Tintut Y. Effects of teriparatide on morphology of aortic calcification in aged hyperlipidemic mice. Am J Physiol Heart Circ Physiol 2018; 314:H1203-H1213. [PMID: 29451816 DOI: 10.1152/ajpheart.00718.2017] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Calcific aortic vasculopathy correlates with bone loss in osteoporosis in an age-independent manner. Prior work suggests that teriparatide, the bone anabolic treatment for postmenopausal osteoporosis, may inhibit the onset of aortic calcification. Whether teriparatide affects the progression of preexisting aortic calcification, widespread among this patient population, is unknown. Female apolipoprotein E-deficient mice were aged for over 1 yr to induce aortic calcification, treated for 4.5 wk with daily injections of control vehicle (PBS), 40 µg/kg teriparatide (PTH40), or 400 µg/kg teriparatide (PTH400), and assayed for aortic calcification by microcomputed tomography (microCT) before and after treatment. In a followup cohort, aged female apolipoprotein E-deficient mice were treated with PBS or PTH400 and assayed for aortic calcification by serial microCT and micropositron emission tomography. In both cohorts, aortic calcification detected by microCT progressed similarly in all groups. Mean aortic 18F-NaF incorporation, detected by serial micropositron emission tomography, increased in the PBS-treated group (+14 ± 5%). In contrast, 18F-NaF incorporation decreased in the PTH400-treated group (-33 ± 20%, P = 0.03). Quantitative histochemical analysis by Alizarin red staining revealed a lower mineral surface area index in the PTH400-treated group compared with the PBS-treated group ( P = 0.04). Furthermore, Masson trichrome staining showed a significant increase in collagen deposition in the left ventricular myocardium of mice that received PTH400 [2.1 ± 0.6% vs. control mice (0.5 ± 0.1%), P = 0.02]. In summary, although teriparatide may not affect the calcium mineral content of aortic calcification, it reduces 18F-NaF uptake in calcified lesions, suggesting the possibility that it may reduce mineral surface area with potential impact on plaque stability. NEW & NOTEWORTHY Parathyroid hormone regulates bone mineralization and may also affect vascular calcification, which is an important issue, given that its active fragment, teriparatide, is widely used for the treatment of osteoporosis. To determine whether teriparatide alters vascular calcification, we imaged aortic calcification in mice treated with teriparatide and control mice. Although teriparatide did not affect the calcium content of cardiovascular deposits, it reduced their fluoride tracer uptake.
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Affiliation(s)
- Jeffrey J Hsu
- Department of Medicine, School of Medicine, University of California , Los Angeles, California
| | - Jinxiu Lu
- Department of Physiology, School of Medicine, University of California , Los Angeles, California
| | - Soban Umar
- Department of Anesthesiology, School of Medicine, University of California , Los Angeles, California
| | - Jason T Lee
- Department of Molecular and Medical Pharmacology and Crump Institute for Molecular Imaging, School of Medicine, University of California , Los Angeles, California
| | - Rajan P Kulkarni
- Department of Medicine, School of Medicine, University of California , Los Angeles, California.,Department of Bioengineering, School of Engineering and Applied Sciences, University of California , Los Angeles, California
| | - Yichen Ding
- Department of Medicine, School of Medicine, University of California , Los Angeles, California.,Department of Bioengineering, School of Engineering and Applied Sciences, University of California , Los Angeles, California
| | - Chih-Chiang Chang
- Department of Bioengineering, School of Engineering and Applied Sciences, University of California , Los Angeles, California
| | - Tzung K Hsiai
- Department of Medicine, School of Medicine, University of California , Los Angeles, California.,Department of Bioengineering, School of Engineering and Applied Sciences, University of California , Los Angeles, California
| | - Akishige Hokugo
- Department of Plastic Surgery, School of Medicine, University of California , Los Angeles, California
| | - Ioannis Gkouveris
- Division of Diagnostic and Surgical Sciences, School of Engineering and Applied Sciences, University of California , Los Angeles, California
| | - Sotirios Tetradis
- Division of Diagnostic and Surgical Sciences, School of Engineering and Applied Sciences, University of California , Los Angeles, California
| | - Ichiro Nishimura
- Advanced Prosthodontics, School of Dentistry, University of California , Los Angeles, California
| | - Linda L Demer
- Department of Medicine, School of Medicine, University of California , Los Angeles, California.,Department of Physiology, School of Medicine, University of California , Los Angeles, California.,Department of Bioengineering, School of Engineering and Applied Sciences, University of California , Los Angeles, California
| | - Yin Tintut
- Department of Medicine, School of Medicine, University of California , Los Angeles, California.,Department of Physiology, School of Medicine, University of California , Los Angeles, California.,Department of Orthopaedic Surgery, School of Medicine, University of California , Los Angeles, California
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28
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Jensen KHR, Berg RW. Advances and perspectives in tissue clearing using CLARITY. J Chem Neuroanat 2017; 86:19-34. [DOI: 10.1016/j.jchemneu.2017.07.005] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Revised: 07/12/2017] [Accepted: 07/12/2017] [Indexed: 12/16/2022]
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29
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Ding Y, Abiri A, Abiri P, Li S, Chang CC, Baek KI, Hsu JJ, Sideris E, Li Y, Lee J, Segura T, Nguyen TP, Bui A, Sevag Packard RR, Fei P, Hsiai TK. Integrating light-sheet imaging with virtual reality to recapitulate developmental cardiac mechanics. JCI Insight 2017; 2:97180. [PMID: 29202458 PMCID: PMC5752380 DOI: 10.1172/jci.insight.97180] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Accepted: 10/12/2017] [Indexed: 11/17/2022] Open
Abstract
Currently, there is a limited ability to interactively study developmental cardiac mechanics and physiology. We therefore combined light-sheet fluorescence microscopy (LSFM) with virtual reality (VR) to provide a hybrid platform for 3D architecture and time-dependent cardiac contractile function characterization. By taking advantage of the rapid acquisition, high axial resolution, low phototoxicity, and high fidelity in 3D and 4D (3D spatial + 1D time or spectra), this VR-LSFM hybrid methodology enables interactive visualization and quantification otherwise not available by conventional methods, such as routine optical microscopes. We hereby demonstrate multiscale applicability of VR-LSFM to (a) interrogate skin fibroblasts interacting with a hyaluronic acid-based hydrogel, (b) navigate through the endocardial trabecular network during zebrafish development, and (c) localize gene therapy-mediated potassium channel expression in adult murine hearts. We further combined our batch intensity normalized segmentation algorithm with deformable image registration to interface a VR environment with imaging computation for the analysis of cardiac contraction. Thus, the VR-LSFM hybrid platform demonstrates an efficient and robust framework for creating a user-directed microenvironment in which we uncovered developmental cardiac mechanics and physiology with high spatiotemporal resolution.
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Affiliation(s)
- Yichen Ding
- Department of Medicine
- Department of Bioengineering, David Geffen School of Medicine, UCLA, Los Angeles, California, USA
| | - Arash Abiri
- Department of Medicine
- Department of Biomedical Engineering, University of California, Irvine, Irvine, California, USA
| | - Parinaz Abiri
- Department of Medicine
- Department of Bioengineering, David Geffen School of Medicine, UCLA, Los Angeles, California, USA
| | - Shuoran Li
- Chemical and Biomolecular Engineering Department
| | - Chih-Chiang Chang
- Department of Bioengineering, David Geffen School of Medicine, UCLA, Los Angeles, California, USA
| | - Kyung In Baek
- Department of Bioengineering, David Geffen School of Medicine, UCLA, Los Angeles, California, USA
| | | | | | - Yilei Li
- Electrical Engineering Department, and
| | - Juhyun Lee
- Department of Bioengineering, David Geffen School of Medicine, UCLA, Los Angeles, California, USA
| | - Tatiana Segura
- Department of Bioengineering, David Geffen School of Medicine, UCLA, Los Angeles, California, USA
- Chemical and Biomolecular Engineering Department
| | | | - Alexander Bui
- Department of Bioengineering, David Geffen School of Medicine, UCLA, Los Angeles, California, USA
- Medical Imaging Informatics Group, Department of Radiological Sciences, David Geffen School of Medicine, UCLA, Los Angeles, California, USA
| | | | - Peng Fei
- School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, China
| | - Tzung K. Hsiai
- Department of Medicine
- Department of Bioengineering, David Geffen School of Medicine, UCLA, Los Angeles, California, USA
- Medical Engineering, California Institute of Technology, Pasadena, California, USA
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30
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Automated Segmentation of Light-Sheet Fluorescent Imaging to Characterize Experimental Doxorubicin-Induced Cardiac Injury and Repair. Sci Rep 2017; 7:8603. [PMID: 28819303 PMCID: PMC5561066 DOI: 10.1038/s41598-017-09152-x] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2017] [Accepted: 07/20/2017] [Indexed: 11/09/2022] Open
Abstract
This study sought to develop an automated segmentation approach based on histogram analysis of raw axial images acquired by light-sheet fluorescent imaging (LSFI) to establish rapid reconstruction of the 3-D zebrafish cardiac architecture in response to doxorubicin-induced injury and repair. Input images underwent a 4-step automated image segmentation process consisting of stationary noise removal, histogram equalization, adaptive thresholding, and image fusion followed by 3-D reconstruction. We applied this method to 3-month old zebrafish injected intraperitoneally with doxorubicin followed by LSFI at 3, 30, and 60 days post-injection. We observed an initial decrease in myocardial and endocardial cavity volumes at day 3, followed by ventricular remodeling at day 30, and recovery at day 60 (P < 0.05, n = 7-19). Doxorubicin-injected fish developed ventricular diastolic dysfunction and worsening global cardiac function evidenced by elevated E/A ratios and myocardial performance indexes quantified by pulsed-wave Doppler ultrasound at day 30, followed by normalization at day 60 (P < 0.05, n = 9-20). Treatment with the γ-secretase inhibitor, DAPT, to inhibit cleavage and release of Notch Intracellular Domain (NICD) blocked cardiac architectural regeneration and restoration of ventricular function at day 60 (P < 0.05, n = 6-14). Our approach provides a high-throughput model with translational implications for drug discovery and genetic modifiers of chemotherapy-induced cardiomyopathy.
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