TY  - JOUR
A1  - Nowak, Jacqueline
A1  - Gennermann, Kristin
A1  - Persson, Staffan
A1  - Nikoloski, Zoran
T1  - CytoSeg 2.0
T2  - Bioinformatics
N2  - 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.
Y1  - 2020
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/59907
SN  - 1367-4803
SN  - 1460-2059
VL  - 36
IS  - 9
SP  - 2950
EP  - 2951
PB  - Oxford Univ. Press
CY  - Oxford
ER  -