CytoSeg

CytoSeg extracts actin filaments (AFs) from fluorescence microscopy images and represents them as networks for quantitative analysis of actin cytoskeleton organization and dynamics.


Key Features:

  • Automated image-based framework: Automatically extracts AFs from fluorescence microscopy images for downstream analysis.
  • Network representation: Represents extracted AFs as network graphs to enable structural and topological analyses.
  • Feature identification and comparison: Performs automated analysis of network representations to identify and compare biologically relevant features of actin organization.
  • Noise and dynamics handling: Processes images to address low signal-to-noise ratios and dynamic structural changes in actin filaments.

Scientific Applications:

  • Cellular dynamics analysis: Quantifies actin network organization and dynamics in live-cell fluorescence microscopy studies.
  • Cell motility and morphology: Relates changes in AF network structure to cell motility and morphology alterations.
  • Comparative studies: Enables quantitative comparison of actin organization across different biological conditions or time points.

Methodology:

Processes fluorescence microscopy images to extract actin filaments, converts extracted filaments into network representations, and performs automated network-based feature identification and comparison while addressing low signal-to-noise ratios and dynamic structural changes.

Topics

Details

License:
GPL-3.0
Tool Type:
plugin
Programming Languages:
Python
Added:
1/18/2021
Last Updated:
2/22/2021

Operations

Publications

Nowak J, Gennermann K, Persson S, Nikoloski Z. CytoSeg 2.0: automated extraction of actin filaments. Bioinformatics. 2020;36(9):2950-2951. doi:10.1093/bioinformatics/btaa035. PMID:31971582. PMCID:PMC7203740.

PMID: 31971582
PMCID: PMC7203740
Funding: - Education project SHAPENET: 031L0177A - Australian Research Council: DP19001941, FT160100218