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  CytoSeg 2.0: automated extraction of actin filaments

Nowak, J., Gennermann, K., Persson, S., & Nikoloski, Z. (2020). CytoSeg 2.0: automated extraction of actin filaments. Bioinformatics, 36(9), 2950-2951. doi:10.1093/bioinformatics/btaa035.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0006-5D0B-7 Version Permalink: http://hdl.handle.net/21.11116/0000-0006-5D0C-6
Genre: Journal Article

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Nowak, J.1, Author              
Gennermann, Kristin2, Author
Persson, Staffan2, Author
Nikoloski, Z.1, Author              
Affiliations:
1Mathematical Modelling and Systems Biology - Nikoloski, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753310              
2External Organizations, ou_persistent22              

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 Abstract: 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.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.CytoSeg 2.0 is open-source software under the GPL and is available on Github: https://github.com/jnowak90/CytoSeg2.0.nowakj@student.unimelb.edu.auSupplementary data are available at Bioinformatics online.

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Language(s): eng - English
 Dates: 2020-02
 Publication Status: Published in print
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 Identifiers: DOI: 10.1093/bioinformatics/btaa035
BibTex Citekey: 10.1093/bioinformatics/btaa035
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Title: Bioinformatics
Source Genre: Journal
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Publ. Info: Oxford : Oxford University Press
Pages: - Volume / Issue: 36 (9) Sequence Number: - Start / End Page: 2950 - 2951 Identifier: ISSN: 1367-4803
CoNE: https://pure.mpg.de/cone/journals/resource/954926969991