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Dunn KW. Digital Image Analysis Tools Developed by the Indiana O'Brien Center. Front Physiol 2021; 12:812170. [PMID: 34975549 PMCID: PMC8716822 DOI: 10.3389/fphys.2021.812170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 11/29/2021] [Indexed: 11/13/2022] Open
Abstract
The scale and complexity of images collected in biological microscopy have grown enormously over the past 30 years. The development and commercialization of multiphoton microscopy has promoted a renaissance of intravital microscopy, providing a window into cell biology in vivo. New methods of optical sectioning and tissue clearing now enable biologists to characterize entire organs at subcellular resolution. New methods of multiplexed imaging support simultaneous localization of forty or more probes at a time. Exploiting these exciting new techniques has increasingly required biomedical researchers to master procedures of image analysis that were once the specialized province of imaging experts. A primary goal of the Indiana O'Brien Center has been to develop robust and accessible image analysis tools for biomedical researchers. Here we describe biomedical image analysis software developed by the Indiana O'Brien Center over the past 25 years.
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Affiliation(s)
- Kenneth W. Dunn
- Division of Nephrology, Indiana University School of Medicine, Indianapolis, IN, United States
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Dunn KW, Molitoris BA, Dagher PC. The Indiana O'Brien Center for Advanced Renal Microscopic Analysis. Am J Physiol Renal Physiol 2021; 320:F671-F682. [PMID: 33682441 DOI: 10.1152/ajprenal.00007.2021] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
The Indiana O'Brien Center for Advanced Microscopic Analysis is a National Institutes of Health (NIH) P30-funded research center dedicated to the development and dissemination of advanced methods of optical microscopy to support renal researchers throughout the world. The Indiana O'Brien Center was founded in 2002 as an NIH P-50 project with the original goal of helping researchers realize the potential of intravital multiphoton microscopy as a tool for understanding renal physiology and pathophysiology. The center has since expanded into the development and implementation of large-scale, high-content tissue cytometry. The advanced imaging capabilities of the center are made available to renal researchers worldwide via collaborations and a unique fellowship program. Center outreach is accomplished through an enrichment core that oversees a seminar series, an informational website, and a biennial workshop featuring hands-on training from members of the Indiana O'Brien Center and imaging experts from around the world.
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Affiliation(s)
- Kenneth W Dunn
- Division of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | - Bruce A Molitoris
- Division of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | - Pierre C Dagher
- Division of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana
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Soulet D, Lamontagne-Proulx J, Aubé B, Davalos D. Multiphoton intravital microscopy in small animals: motion artefact challenges and technical solutions. J Microsc 2020; 278:3-17. [PMID: 32072642 PMCID: PMC7187339 DOI: 10.1111/jmi.12880] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 02/06/2020] [Accepted: 02/14/2020] [Indexed: 12/28/2022]
Abstract
Since its invention 29 years ago, two‐photon laser‐scanning microscopy has evolved from a promising imaging technique, to an established widely available imaging modality used throughout the biomedical research community. The establishment of two‐photon microscopy as the preferred method for imaging fluorescently labelled cells and structures in living animals can be attributed to the biophysical mechanism by which the generation of fluorescence is accomplished. The use of powerful lasers capable of delivering infrared light pulses within femtosecond intervals, facilitates the nonlinear excitation of fluorescent molecules only at the focal plane and determines by objective lens position. This offers numerous benefits for studies of biological samples at high spatial and temporal resolutions with limited photo‐damage and superior tissue penetration. Indeed, these attributes have established two‐photon microscopy as the ideal method for live‐animal imaging in several areas of biology and have led to a whole new field of study dedicated to imaging biological phenomena in intact tissues and living organisms. However, despite its appealing features, two‐photon intravital microscopy is inherently limited by tissue motion from heartbeat, respiratory cycles, peristalsis, muscle/vascular tone and physiological functions that change tissue geometry. Because these movements impede temporal and spatial resolution, they must be properly addressed to harness the full potential of two‐photon intravital microscopy and enable accurate data analysis and interpretation. In addition, the sources and features of these motion artefacts are varied, sometimes unpredictable and unique to specific organs and multiple complex strategies have previously been devised to address them. This review will discuss these motion artefacts requirement and technical solutions for their correction and after intravital two‐photon microscopy.
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Affiliation(s)
- D Soulet
- Centre de recherche du CHUL, Department of Neurosciences, Quebec, Canada.,Faculty of Pharmacy, Université Laval, Quebec, Canada
| | - J Lamontagne-Proulx
- Centre de recherche du CHUL, Department of Neurosciences, Quebec, Canada.,Faculty of Pharmacy, Université Laval, Quebec, Canada
| | - B Aubé
- Centre de recherche du CHUL, Department of Neurosciences, Quebec, Canada
| | - D Davalos
- Department of Neurosciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, U.S.A
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Liu SL, Wang ZG, Xie HY, Liu AA, Lamb DC, Pang DW. Single-Virus Tracking: From Imaging Methodologies to Virological Applications. Chem Rev 2020; 120:1936-1979. [PMID: 31951121 PMCID: PMC7075663 DOI: 10.1021/acs.chemrev.9b00692] [Citation(s) in RCA: 110] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
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Uncovering
the mechanisms of virus infection and assembly is crucial
for preventing the spread of viruses and treating viral disease. The
technique of single-virus tracking (SVT), also known as single-virus
tracing, allows one to follow individual viruses at different parts
of their life cycle and thereby provides dynamic insights into fundamental
processes of viruses occurring in live cells. SVT is typically based
on fluorescence imaging and reveals insights into previously unreported
infection mechanisms. In this review article, we provide the readers
a broad overview of the SVT technique. We first summarize recent advances
in SVT, from the choice of fluorescent labels and labeling strategies
to imaging implementation and analytical methodologies. We then describe
representative applications in detail to elucidate how SVT serves
as a valuable tool in virological research. Finally, we present our
perspectives regarding the future possibilities and challenges of
SVT.
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Affiliation(s)
- Shu-Lin Liu
- State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Biosensing and Molecular Recognition, Research Center for Analytical Sciences, College of Chemistry, and School of Medicine , Nankai University , Tianjin 300071 , P. R. China.,Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry , China University of Geosciences , Wuhan 430074 , P. R. China
| | - Zhi-Gang Wang
- State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Biosensing and Molecular Recognition, Research Center for Analytical Sciences, College of Chemistry, and School of Medicine , Nankai University , Tianjin 300071 , P. R. China
| | - Hai-Yan Xie
- School of Life Science , Beijing Institute of Technology , Beijing 100081 , P. R. China
| | - An-An Liu
- State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Biosensing and Molecular Recognition, Research Center for Analytical Sciences, College of Chemistry, and School of Medicine , Nankai University , Tianjin 300071 , P. R. China
| | - Don C Lamb
- Physical Chemistry, Department of Chemistry, Center for Nanoscience (CeNS), and Center for Integrated Protein Science Munich (CIPSM) and Nanosystems Initiative Munich (NIM) , Ludwig-Maximilians-Universität , München , 81377 , Germany
| | - Dai-Wen Pang
- State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Biosensing and Molecular Recognition, Research Center for Analytical Sciences, College of Chemistry, and School of Medicine , Nankai University , Tianjin 300071 , P. R. China.,College of Chemistry and Molecular Sciences, State Key Laboratory of Virology, The Institute for Advanced Studies, and Wuhan Institute of Biotechnology , Wuhan University , Wuhan 430072 , P. R. China
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Papiez BW, Markelc B, Brown G, Muschel RJ, Brady SM, Schnabel JA. Image-Based Artefact Removal in Laser Scanning Microscopy. IEEE Trans Biomed Eng 2020; 67:79-87. [PMID: 31034401 DOI: 10.1109/tbme.2019.2908345] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Recent developments in laser scanning microscopy have greatly extended its applicability in cancer imaging beyond the visualization of complex biology, and opened up the possibility of quantitative analysis of inherently dynamic biological processes. However, the physics of image acquisition intrinsically means that image quality is subject to a tradeoff between a number of imaging parameters, including resolution, signal-to-noise ratio, and acquisition speed. We address the problem of geometric distortion, in particular, jaggedness artefacts that are caused by the variable motion of the microscope laser, by using a combination of image processing techniques. Image restoration methods have already shown great potential for post-acquisition image analysis. The performance of our proposed image restoration technique was first quantitatively evaluated using phantom data with different textures, and then qualitatively assessed using in vivo biological imaging data. In both cases, the presented method, comprising a combination of image registration and filtering, is demonstrated to have substantial improvement over state-of-the-art microscopy acquisition methods.
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Tavakoli M, Tsekouras K, Day R, Dunn KW, Pressé S. Quantitative Kinetic Models from Intravital Microscopy: A Case Study Using Hepatic Transport. J Phys Chem B 2019; 123:7302-7312. [PMID: 31298856 PMCID: PMC6857640 DOI: 10.1021/acs.jpcb.9b04729] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The liver performs critical physiological functions, including metabolizing and removing substances, such as toxins and drugs, from the bloodstream. Hepatotoxicity itself is intimately linked to abnormal hepatic transport, and hepatotoxicity remains the primary reason drugs in development fail and approved drugs are withdrawn from the market. For this reason, we propose to analyze, across liver compartments, the transport kinetics of fluorescein-a fluorescent marker used as a proxy for drug molecules-using intravital microscopy data. To resolve the transport kinetics quantitatively from fluorescence data, we account for the effect that different liver compartments (with different chemical properties) have on fluorescein's emission rate. To do so, we develop ordinary differential equation transport models from the data where the kinetics is related to the observable fluorescence levels by "measurement parameters" that vary across different liver compartments. On account of the steep non-linearities in the kinetics and stochasticity inherent to the model, we infer kinetic and measurement parameters by generalizing the method of parameter cascades. For this application, the method of parameter cascades ensures fast and precise parameter estimates from noisy time traces.
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Affiliation(s)
- Meysam Tavakoli
- Department of Physics, Indiana University-Purdue University, Indianapolis, Indiana 46202, United States
| | | | - Richard Day
- Department of Cellular and Integrative Physiology, Indiana University School of Medicine, Indianapolis, Indiana 46202, United States
| | - Kenneth W. Dunn
- Department of Medicine and Biochemistry, Indiana University School of Medicine, Indianapolis, Indiana 46202, United States
| | - Steve Pressé
- Center for Biological Physics, Arizona State University, Tempe, Arizona 85287, United States
- School of Molecular Sciences, Arizona State University, Tempe, Arizona 85287, United States
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Day RN, Tao W, Dunn KW. A simple approach for measuring FRET in fluorescent biosensors using two-photon microscopy. Nat Protoc 2016; 11:2066-80. [DOI: 10.1038/nprot.2016.121] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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8
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Fiole D, Tournier JN. Intravital microscopy of the lung: minimizing invasiveness. JOURNAL OF BIOPHOTONICS 2016; 9:868-878. [PMID: 26846880 DOI: 10.1002/jbio.201500246] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2015] [Revised: 01/08/2016] [Accepted: 01/09/2016] [Indexed: 06/05/2023]
Abstract
In vivo microscopy has recently become a gold standard in lung immunology studies involving small animals, largely benefiting from the democratization of multiphoton microscopy allowing for deep tissue imaging. This technology represents currently our only way of exploring the lungs and inferring what happens in human respiratory medicine. The interest of lung in vivo microscopy essentially relies upon its relevance as a study model, fulfilling physiological requirements in comparison with in vitro and ex vivo experiments. However, strategies developed in order to overcome movements of the thorax caused by breathing and heartbeats remain the chief drawback of the technique and a major source of invasiveness. In this context, minimizing invasiveness is an unavoidable prerequisite for any improvement of lung in vivo microscopy. This review puts into perspective the main techniques enabling lung in vivo microscopy, providing pros and cons regarding invasiveness.
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Affiliation(s)
- Daniel Fiole
- Unité Interactions Hôte-Agents pathogènes, Institut de Recherche Biomédicale des Armées, Brétigny-sur-Orge cedex, 91223, France.
- Human Histopathology and Animal Models, Institut Pasteur, 28 rue du docteur Roux, Paris, 75725, France.
| | - Jean-Nicolas Tournier
- Unité Interactions Hôte-Agents pathogènes, Institut de Recherche Biomédicale des Armées, Brétigny-sur-Orge cedex, 91223, France
- Laboratoire Pathogénie des Toxi-Infections Bactériennes, Institut Pasteur, 28 rue du docteur Roux, Paris, 75725, France
- Ecole du Val-de-Grâce, 1 place Alphonse Laveran, Paris, 75230, France
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Automatic detection of motion blur in intravital video microscopy image sequences via directional statistics of log-Gabor energy maps. Med Biol Eng Comput 2014; 53:151-63. [DOI: 10.1007/s11517-014-1219-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2013] [Accepted: 10/20/2014] [Indexed: 11/29/2022]
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10
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Babbey CM, Ryan JC, Gill EM, Ghabril MS, Burch CR, Paulman A, Dunn KW. Quantitative intravital microscopy of hepatic transport. INTRAVITAL 2014. [DOI: 10.4161/intv.21296] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Dunn KW, Lorenz KS, Salama P, Delp EJ. IMART software for correction of motion artifacts in images collected in intravital microscopy. INTRAVITAL 2014; 3:e28210. [PMID: 26090271 PMCID: PMC4469201 DOI: 10.4161/intv.28210] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Intravital microscopy is a uniquely powerful tool, providing the ability to characterize cell and organ physiology in the natural context of the intact, living animal. With the recent development of high-resolution microscopy techniques such as confocal and multiphoton microscopy, intravital microscopy can now characterize structures at subcellular resolution and capture events at sub-second temporal resolution. However, realizing the potential for high resolution requires remarkable stability in the tissue. Whereas the rigid structure of the skull facilitates high-resolution imaging of the brain, organs of the viscera are free to move with respiration and heartbeat, requiring additional apparatus for immobilization. In our experience, these methods are variably effective, so that many studies are compromised by residual motion artifacts. Here we demonstrate the use of IMART, a software tool for removing motion artifacts from intravital microscopy images collected in time series or in three dimensions.
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Affiliation(s)
- Kenneth W Dunn
- Division of Nephrology; School of Medicine; Indiana University; Indianapolis, IN USA
| | - Kevin S Lorenz
- Video and Image Processing Laboratory; School of Electrical and Computer Engineering; Purdue University; West Lafayette, IN USA
| | - Paul Salama
- Department of Electrical and Computer Engineering; Indiana University; Indianapolis, IN USA
| | - Edward J Delp
- Video and Image Processing Laboratory; School of Electrical and Computer Engineering; Purdue University; West Lafayette, IN USA
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12
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Graf BW, Chaney EJ, Marjanovic M, Adie SG, De Lisio M, Valero MC, Boppart MD, Boppart SA. Long-term time-lapse multimodal intravital imaging of regeneration and bone-marrow-derived cell dynamics in skin. TECHNOLOGY (ELMSFORD, N.Y.) 2013; 1:8-19. [PMID: 25089085 PMCID: PMC4114059 DOI: 10.1142/s2339547813500027] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
A major challenge for translating cell-based therapies is understanding the dynamics of cells and cell populations in complex in vivo environments. Intravital microscopy has shown great promise for directly visualizing cell behavior in vivo. However, current methods are limited to relatively short imaging times (hours), by ways to track cell and cell population dynamics over extended time-lapse periods (days to weeks to months), and by relatively few imaging contrast mechanisms that persist over extended investigations. We present technology to visualize and quantify complex, multifaceted dynamic changes in natural deformable skin over long time periods using novel multimodal imaging and a non-rigid image registration method. These are demonstrated in green fluorescent protein (GFP) bone marrow (BM) transplanted mice to study dynamic skin regeneration. This technology provides a novel perspective for studying dynamic biological processes and will enable future studies of stem, immune, and tumor cell biology in vivo.
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Affiliation(s)
- Benedikt W Graf
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. Mathews Avenue, Urbana, IL 61801, USA ; Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 405 N. Mathews Avenue, Urbana, IL 61801, USA
| | - Eric J Chaney
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. Mathews Avenue, Urbana, IL 61801, USA
| | - Marina Marjanovic
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. Mathews Avenue, Urbana, IL 61801, USA
| | - Steven G Adie
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. Mathews Avenue, Urbana, IL 61801, USA
| | - Michael De Lisio
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. Mathews Avenue, Urbana, IL 61801, USA ; Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, 405 N. Mathews Avenue, Urbana, IL 61801, USA
| | - M Carmen Valero
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. Mathews Avenue, Urbana, IL 61801, USA
| | - Marni D Boppart
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. Mathews Avenue, Urbana, IL 61801, USA ; Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, 405 N. Mathews Avenue, Urbana, IL 61801, USA
| | - Stephen A Boppart
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. Mathews Avenue, Urbana, IL 61801, USA ; Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 405 N. Mathews Avenue, Urbana, IL 61801, USA ; Departments of Bioengineering and Internal Medicine, University of Illinois at Urbana-Champaign, 405 N. Mathews Avenue, Urbana, IL 61801, USA
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Kumar AN, Short KW, Piston DW. A motion correction framework for time series sequences in microscopy images. MICROSCOPY AND MICROANALYSIS : THE OFFICIAL JOURNAL OF MICROSCOPY SOCIETY OF AMERICA, MICROBEAM ANALYSIS SOCIETY, MICROSCOPICAL SOCIETY OF CANADA 2013; 19:433-50. [PMID: 23410911 PMCID: PMC4135398 DOI: 10.1017/s1431927612014250] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
With the advent of in vivo laser scanning fluorescence microscopy techniques, time-series and three-dimensional volumes of living tissue and vessels at micron scales can be acquired to firmly analyze vessel architecture and blood flow. Analysis of a large number of image stacks to extract architecture and track blood flow manually is cumbersome and prone to observer bias. Thus, an automated framework to accomplish these analytical tasks is imperative. The first initiative toward such a framework is to compensate for motion artifacts manifest in these microscopy images. Motion artifacts in in vivo microscopy images are caused by respiratory motion, heart beats, and other motions from the specimen. Consequently, the amount of motion present in these images can be large and hinders further analysis of these images. In this article, an algorithmic framework for the correction of time-series images is presented. The automated algorithm is comprised of a rigid and a nonrigid registration step based on shape contexts. The framework performs considerably well on time-series image sequences of the islets of Langerhans and provides for the pivotal step of motion correction in the further automatic analysis of microscopy images.
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Affiliation(s)
- Ankur N. Kumar
- Department of Electrical Engineering, 367 Jacobs Hall, Vanderbilt University, Nashville, TN 37212, USA
| | - Kurt W. Short
- Department of Molecular Physiology & Biophysics, 747 Light Hall, Vanderbilt University, Nashville, TN 37232, USA
| | - David W. Piston
- Department of Molecular Physiology & Biophysics, 747 Light Hall, Vanderbilt University, Nashville, TN 37232, USA
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Masedunskas A, Milberg O, Porat-Shliom N, Sramkova M, Wigand T, Amornphimoltham P, Weigert R. Intravital microscopy: a practical guide on imaging intracellular structures in live animals. BIOARCHITECTURE 2012; 2:143-57. [PMID: 22992750 PMCID: PMC3696059 DOI: 10.4161/bioa.21758] [Citation(s) in RCA: 80] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2012] [Revised: 08/05/2012] [Accepted: 08/07/2012] [Indexed: 01/05/2023]
Abstract
Intravital microscopy is an extremely powerful tool that enables imaging several biological processes in live animals. Recently, the ability to image subcellular structures in several organs combined with the development of sophisticated genetic tools has made possible extending this approach to investigate several aspects of cell biology. Here we provide a general overview of intravital microscopy with the goal of highlighting its potential and challenges. Specifically, this review is geared toward researchers that are new to intravital microscopy and focuses on practical aspects of carrying out imaging in live animals. Here we share the know-how that comes from first-hand experience, including topics such as choosing the right imaging platform and modality, surgery and stabilization techniques, anesthesia and temperature control. Moreover, we highlight some of the approaches that facilitate subcellular imaging in live animals by providing numerous examples of imaging selected organelles and the actin cytoskeleton in multiple organs.
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Affiliation(s)
- Andrius Masedunskas
- Intracellular Membrane Trafficking Unit; Oral and Pharyngeal Cancer Branch; National Institute of Dental and Craniofacial Research; National Institutes of Health; Bethesda, MD USA
- Department of Biology; University of North Carolina at Chapel Hill; Chapel Hill, NC USA
| | - Oleg Milberg
- Intracellular Membrane Trafficking Unit; Oral and Pharyngeal Cancer Branch; National Institute of Dental and Craniofacial Research; National Institutes of Health; Bethesda, MD USA
- Department of Chemical and Biochemical Engineering; Rutgers University; Piscataway, NJ USA
- Department of Biomedical Engineering; Rutgers University; Piscataway, NJ USA
| | - Natalie Porat-Shliom
- Intracellular Membrane Trafficking Unit; Oral and Pharyngeal Cancer Branch; National Institute of Dental and Craniofacial Research; National Institutes of Health; Bethesda, MD USA
| | - Monika Sramkova
- Intracellular Membrane Trafficking Unit; Oral and Pharyngeal Cancer Branch; National Institute of Dental and Craniofacial Research; National Institutes of Health; Bethesda, MD USA
| | - Tim Wigand
- Intracellular Membrane Trafficking Unit; Oral and Pharyngeal Cancer Branch; National Institute of Dental and Craniofacial Research; National Institutes of Health; Bethesda, MD USA
| | - Panomwat Amornphimoltham
- Intracellular Membrane Trafficking Unit; Oral and Pharyngeal Cancer Branch; National Institute of Dental and Craniofacial Research; National Institutes of Health; Bethesda, MD USA
| | - Roberto Weigert
- Intracellular Membrane Trafficking Unit; Oral and Pharyngeal Cancer Branch; National Institute of Dental and Craniofacial Research; National Institutes of Health; Bethesda, MD USA
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