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