JEasyTFM: an open-source software package for the analysis of large 2D TFM data within ImageJ

MOTIVATION: Cells adhering to the extracellular matrix can sense and respond to a wide variety of chemical and physical features of the adhesive surface. Traction force microscopy (TFM) allows determining the tensile forces exerted by the cells on their substrate with high resolution. RESULTS: To al...

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Detalles Bibliográficos
Autores principales: Carl, Philippe, Rondé, Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Application Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625472/
https://www.ncbi.nlm.nih.gov/pubmed/37928344
http://dx.doi.org/10.1093/bioadv/vbad156
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author Carl, Philippe
Rondé, Philippe
author_facet Carl, Philippe
Rondé, Philippe
author_sort Carl, Philippe
collection PubMed
description MOTIVATION: Cells adhering to the extracellular matrix can sense and respond to a wide variety of chemical and physical features of the adhesive surface. Traction force microscopy (TFM) allows determining the tensile forces exerted by the cells on their substrate with high resolution. RESULTS: To allow broad access of this techniques to cell biology laboratories we developed JeasyTFM, an open-source ImageJ package able to process multi-color and multi-position time-lapse pictures thus suitable for the automatic analysis of large TFM data. AVAILABILITY AND IMPLEMENTATION: JEasyTFM is implemented as an ImageJ plugin and available at: http://questpharma.u-strasbg.fr/JEasyTFM.html.
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spelling pubmed-106254722023-11-05 JEasyTFM: an open-source software package for the analysis of large 2D TFM data within ImageJ Carl, Philippe Rondé, Philippe Bioinform Adv Application Note MOTIVATION: Cells adhering to the extracellular matrix can sense and respond to a wide variety of chemical and physical features of the adhesive surface. Traction force microscopy (TFM) allows determining the tensile forces exerted by the cells on their substrate with high resolution. RESULTS: To allow broad access of this techniques to cell biology laboratories we developed JeasyTFM, an open-source ImageJ package able to process multi-color and multi-position time-lapse pictures thus suitable for the automatic analysis of large TFM data. AVAILABILITY AND IMPLEMENTATION: JEasyTFM is implemented as an ImageJ plugin and available at: http://questpharma.u-strasbg.fr/JEasyTFM.html. Oxford University Press 2023-10-26 /pmc/articles/PMC10625472/ /pubmed/37928344 http://dx.doi.org/10.1093/bioadv/vbad156 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Application Note
Carl, Philippe
Rondé, Philippe
JEasyTFM: an open-source software package for the analysis of large 2D TFM data within ImageJ
title JEasyTFM: an open-source software package for the analysis of large 2D TFM data within ImageJ
title_full JEasyTFM: an open-source software package for the analysis of large 2D TFM data within ImageJ
title_fullStr JEasyTFM: an open-source software package for the analysis of large 2D TFM data within ImageJ
title_full_unstemmed JEasyTFM: an open-source software package for the analysis of large 2D TFM data within ImageJ
title_short JEasyTFM: an open-source software package for the analysis of large 2D TFM data within ImageJ
title_sort jeasytfm: an open-source software package for the analysis of large 2d tfm data within imagej
topic Application Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625472/
https://www.ncbi.nlm.nih.gov/pubmed/37928344
http://dx.doi.org/10.1093/bioadv/vbad156
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