CytoSeg 2.0: automated extraction of actin filaments

Author:

Nowak Jacqueline123ORCID,Gennermann Kristin2,Persson Staffan1,Nikoloski Zoran23

Affiliation:

1. School of Biosciences, University of Melbourne, Parkville, VIC 3010, Australia

2. Bioinformatics, Institute of Biochemistry and Biology, University of Potsdam, 14476 Potsdam, Germany

3. Systems Biology and Mathematical Modeling, Max Planck Institute of Molecular Plant Physiology, 14476 Potsdam, Germany

Abstract

Abstract 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.

Funder

German Federal Ministry of Research

Education project SHAPENET

Australian Research Council

IRRTF

University of Melbourne

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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