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CytoSeg 2.0: automated extraction of actin filaments
Author(s) -
Jacqueline Nowak,
Kristin Gennermann,
Staffan Persson,
Zoran Nikoloski
Publication year - 2020
Publication title -
bioinformatics
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btaa035
Subject(s) - plug in , computer science , graphical user interface , source code , open source , task (project management) , interface (matter) , software , noise (video) , code (set theory) , data mining , image (mathematics) , artificial intelligence , programming language , operating system , management , set (abstract data type) , bubble , maximum bubble pressure method , economics
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.

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