ARCOS
ARCOS - Automated recognition of collective signalling events
ARCOS is a computational method to detect and quantify collective phenomena. The algorithm was designed with the signaling of epithelial cells in mind however it is also applicable to other systems even outside of the realm of cell biology.
We provide several open-source implementations of ARCOS
Python (arcos4py)
R (ARCOS)
Plugin for Napari image viewer (arcos-gui)
ARCOS is now published in the Journal of Cell Biology (JCB): https://doi.org/10.1083/jcb.202207048
For a complete tutorial on how to use ARCOS from raw images to full analysis you may also refer to our recent tutorial published in Methods in Microscopy (MiM): https://doi.org/10.1515/mim-2024-0003
and the corresponding GitHub repository containing a detailed notebook and installation instructions.
Detecting Collective events with ARCOS
How to get ARCOS
InstallationHow to use ARCOS
Detecting Collective signalling events in epithelial CellsAnalysing Collective Phenomena in HoneybeesOverview of how ARCOS works
Learn the fundamentals of ARCOS to get a deeper understanding of our main features:
Event Detection and TrackingData RequirementsPreprocessingIf you use this method in your research, please cite our paper:
and if you used the tutorial please also cite:
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