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Gross-Thebing S, Truszkowski L, Tenbrinck D, Sánchez-Iranzo H, Camelo C, Westerich KJ, Singh A, Maier P, Prengel J, Lange P, Hüwel J, Gaede F, Sasse R, Vos BE, Betz T, Matis M, Prevedel R, Luschnig S, Diz-Muñoz A, Burger M, Raz E. Using migrating cells as probes to illuminate features in live embryonic tissues. Sci Adv 2020; 6:eabc5546. [PMID: 33277250 PMCID: PMC7821905 DOI: 10.1126/sciadv.abc5546] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 10/21/2020] [Indexed: 05/03/2023]
Abstract
The biophysical and biochemical properties of live tissues are important in the context of development and disease. Methods for evaluating these properties typically involve destroying the tissue or require specialized technology and complicated analyses. Here, we present a novel, noninvasive methodology for determining the spatial distribution of tissue features within embryos, making use of nondirectionally migrating cells and software we termed "Landscape," which performs automatized high-throughput three-dimensional image registration. Using the live migrating cells as bioprobes, we identified structures within the zebrafish embryo that affect the distribution of the cells and studied one such structure constituting a physical barrier, which, in turn, influences amoeboid cell polarity. Overall, this work provides a unique approach for detecting tissue properties without interfering with animal's development. In addition, Landscape allows for integrating data from multiple samples, providing detailed and reliable quantitative evaluation of variable biological phenotypes in different organisms.
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Affiliation(s)
- Sargon Gross-Thebing
- Institute of Cell Biology, ZMBE, Von-Esmarch-Str. 56, 48149 Muenster, Germany
- Cells in Motion (CiM) Interfaculty Center, 48149 Muenster, Germany
| | - Lukasz Truszkowski
- Institute of Cell Biology, ZMBE, Von-Esmarch-Str. 56, 48149 Muenster, Germany
- Cells in Motion (CiM) Interfaculty Center, 48149 Muenster, Germany
| | - Daniel Tenbrinck
- Applied Mathematics Muenster, University of Muenster, Einsteinstr. 62, 48149 Muenster, Germany.
| | - Héctor Sánchez-Iranzo
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, Meyerhofstr. 1, 69117 Heidelberg, Germany
| | - Carolina Camelo
- Cells in Motion (CiM) Interfaculty Center, 48149 Muenster, Germany
- Institute of Animal Physiology, University of Muenster, Schlossplatz 8, 48143 Muenster, Germany
| | - Kim J Westerich
- Institute of Cell Biology, ZMBE, Von-Esmarch-Str. 56, 48149 Muenster, Germany
- Cells in Motion (CiM) Interfaculty Center, 48149 Muenster, Germany
| | - Amrita Singh
- Institute of Cell Biology, ZMBE, Von-Esmarch-Str. 56, 48149 Muenster, Germany
- Cells in Motion (CiM) Interfaculty Center, 48149 Muenster, Germany
| | - Paul Maier
- Institute of Cell Biology, ZMBE, Von-Esmarch-Str. 56, 48149 Muenster, Germany
- Cells in Motion (CiM) Interfaculty Center, 48149 Muenster, Germany
| | - Jonas Prengel
- Institute of Cell Biology, ZMBE, Von-Esmarch-Str. 56, 48149 Muenster, Germany
- Cells in Motion (CiM) Interfaculty Center, 48149 Muenster, Germany
| | - Pia Lange
- Applied Mathematics Muenster, University of Muenster, Einsteinstr. 62, 48149 Muenster, Germany
| | - Jan Hüwel
- Applied Mathematics Muenster, University of Muenster, Einsteinstr. 62, 48149 Muenster, Germany
| | - Fjedor Gaede
- Applied Mathematics Muenster, University of Muenster, Einsteinstr. 62, 48149 Muenster, Germany
| | - Ramona Sasse
- Applied Mathematics Muenster, University of Muenster, Einsteinstr. 62, 48149 Muenster, Germany
- Mathematics Muenster, University of Muenster, Einsteinstr. 62, 48149 Muenster, Germany
| | - Bart E Vos
- Cells in Motion (CiM) Interfaculty Center, 48149 Muenster, Germany
- Mechanics of Cellular Systems Group, Institute of Cell Biology, ZMBE, Von-Esmarch-Str. 56, 48149 Muenster, Germany
| | - Timo Betz
- Cells in Motion (CiM) Interfaculty Center, 48149 Muenster, Germany
- Mechanics of Cellular Systems Group, Institute of Cell Biology, ZMBE, Von-Esmarch-Str. 56, 48149 Muenster, Germany
| | - Maja Matis
- Institute of Cell Biology, ZMBE, Von-Esmarch-Str. 56, 48149 Muenster, Germany
- Cells in Motion (CiM) Interfaculty Center, 48149 Muenster, Germany
| | - Robert Prevedel
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, Meyerhofstr. 1, 69117 Heidelberg, Germany
| | - Stefan Luschnig
- Cells in Motion (CiM) Interfaculty Center, 48149 Muenster, Germany
- Institute of Animal Physiology, University of Muenster, Schlossplatz 8, 48143 Muenster, Germany
| | - Alba Diz-Muñoz
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, Meyerhofstr. 1, 69117 Heidelberg, Germany
| | - Martin Burger
- Applied Mathematics Muenster, University of Muenster, Einsteinstr. 62, 48149 Muenster, Germany
| | - Erez Raz
- Institute of Cell Biology, ZMBE, Von-Esmarch-Str. 56, 48149 Muenster, Germany.
- Cells in Motion (CiM) Interfaculty Center, 48149 Muenster, Germany
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Ungru K, Tenbrinck D, Jiang X, Stypmann J. Automatic classification of left ventricular wall segments in small animal ultrasound imaging. Comput Methods Programs Biomed 2014; 117:2-12. [PMID: 25053013 DOI: 10.1016/j.cmpb.2014.06.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2014] [Revised: 06/19/2014] [Accepted: 06/20/2014] [Indexed: 06/03/2023]
Abstract
Multiple statistics show that heart diseases are one of the main causes of mortality in our highly developed societies today. These diseases lead to a change of the physiology of the heart, which gives useful information about characteristic and severity of the defect. A fast and reliable diagnosis is the base for successful therapy. As a first step towards recognition of such heart remodeling processes, this work proposes a fully automatic processing pipeline for regional classification of the left ventricular wall in ultrasound images of small animals. The pipeline is based on state-of-the-art methods from computer vision and pattern classification. The myocardial wall is segmented and its motion is estimated. A feature extraction using the segmented data is realized to automatically classify the image regions into normal and abnormal myocardial tissue. The performance of the proposed pipeline is evaluated and a comparison of common classification algorithms on ultrasound data of living mice before and after artificially induced myocardial infarction is given. It is shown that the results of this work, reaching a maximum accuracy of 91.46%, are an encouraging base for further investigation.
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Affiliation(s)
- Kathrin Ungru
- Department of Mathematics and Computer Science, University of Münster, Münster, Germany
| | - Daniel Tenbrinck
- Department of Mathematics and Computer Science, University of Münster, Münster, Germany; Department of Cardiovascular Medicine, Division of Cardiology, University Hospital Münster, Münster, Germany
| | - Xiaoyi Jiang
- Department of Mathematics and Computer Science, University of Münster, Münster, Germany; Cluster of Excellence EXC 1003, Cells in Motion (CiM), University of Münster, Münster, Germany.
| | - Jörg Stypmann
- Department of Cardiovascular Medicine, Division of Cardiology, University Hospital Münster, Münster, Germany
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