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CytoSeg 2.0: automated extraction of actin filaments

MOTIVATION: Actin filaments (AFs) are dynamic structures that substantially change their organization over time. The dynamic behavior and the relatively low signal-to-noise ratio during live-cell imaging have rendered the quantification of the actin organization a difficult task. RESULTS: We develop...

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Detalles Bibliográficos
Autores principales: Nowak, Jacqueline, Gennermann, Kristin, Persson, Staffan, Nikoloski, Zoran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203740/
https://www.ncbi.nlm.nih.gov/pubmed/31971582
http://dx.doi.org/10.1093/bioinformatics/btaa035
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author Nowak, Jacqueline
Gennermann, Kristin
Persson, Staffan
Nikoloski, Zoran
author_facet Nowak, Jacqueline
Gennermann, Kristin
Persson, Staffan
Nikoloski, Zoran
author_sort Nowak, Jacqueline
collection PubMed
description MOTIVATION: Actin filaments (AFs) are dynamic structures that substantially change their organization over time. The dynamic behavior and the relatively low signal-to-noise ratio during live-cell imaging have rendered the quantification of the actin organization a difficult task. RESULTS: We developed an automated image-based framework that extracts AFs from fluorescence microscopy images and represents them as networks, which are automatically analyzed to identify and compare biologically relevant features. Although the source code is freely available, we have now implemented the framework into a graphical user interface that can be installed as a Fiji plugin, thus enabling easy access by the research community. AVAILABILITY AND IMPLEMENTATION: CytoSeg 2.0 is open-source software under the GPL and is available on Github: https://github.com/jnowak90/CytoSeg2.0. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-72037402020-05-11 CytoSeg 2.0: automated extraction of actin filaments Nowak, Jacqueline Gennermann, Kristin Persson, Staffan Nikoloski, Zoran Bioinformatics Applications Notes MOTIVATION: Actin filaments (AFs) are dynamic structures that substantially change their organization over time. The dynamic behavior and the relatively low signal-to-noise ratio during live-cell imaging have rendered the quantification of the actin organization a difficult task. RESULTS: We developed an automated image-based framework that extracts AFs from fluorescence microscopy images and represents them as networks, which are automatically analyzed to identify and compare biologically relevant features. Although the source code is freely available, we have now implemented the framework into a graphical user interface that can be installed as a Fiji plugin, thus enabling easy access by the research community. AVAILABILITY AND IMPLEMENTATION: CytoSeg 2.0 is open-source software under the GPL and is available on Github: https://github.com/jnowak90/CytoSeg2.0. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2020-05-01 2020-01-23 /pmc/articles/PMC7203740/ /pubmed/31971582 http://dx.doi.org/10.1093/bioinformatics/btaa035 Text en © The Author(s) 2020. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Nowak, Jacqueline
Gennermann, Kristin
Persson, Staffan
Nikoloski, Zoran
CytoSeg 2.0: automated extraction of actin filaments
title CytoSeg 2.0: automated extraction of actin filaments
title_full CytoSeg 2.0: automated extraction of actin filaments
title_fullStr CytoSeg 2.0: automated extraction of actin filaments
title_full_unstemmed CytoSeg 2.0: automated extraction of actin filaments
title_short CytoSeg 2.0: automated extraction of actin filaments
title_sort cytoseg 2.0: automated extraction of actin filaments
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203740/
https://www.ncbi.nlm.nih.gov/pubmed/31971582
http://dx.doi.org/10.1093/bioinformatics/btaa035
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