# ARCOS DOCS

## ARCOS DOCS

- [ARCOS](https://arcos.gitbook.io/home/readme.md): ARCOS - Automated Recognition of Correlated Structures
- [Event Detection and Tracking](https://arcos.gitbook.io/home/algorithm-overview/event-detection-and-tracking.md): How does ARCOS work
- [Data Requirements](https://arcos.gitbook.io/home/algorithm-overview/data-requirements.md)
- [Preprocessing](https://arcos.gitbook.io/home/algorithm-overview/preprocessing.md)
- [Avalilable Implementations](https://arcos.gitbook.io/home/installation/avalilable-implementations.md)
- [R package "ARCOS"](https://arcos.gitbook.io/home/installation/avalilable-implementations/r-package-arcos.md)
- [Python Package "arcos4py"](https://arcos.gitbook.io/home/installation/avalilable-implementations/python-package-arcos4py.md)
- [Napari Plugin "arcos-gui"](https://arcos.gitbook.io/home/installation/avalilable-implementations/napari-plugin-arcos-gui.md)
- [Detecting Collective signalling events in epithelial Cells](https://arcos.gitbook.io/home/example-use-cases/detecting-collective-signalling-events-in-epithelial-cells.md): This section outlines an example pipeline written in python to get from images of epithelial cells to quantification with ARCOS and visualization with napari.
- [Analysing Collective Phenomena in Honeybees](https://arcos.gitbook.io/home/example-use-cases/analysing-collective-phenomena-in-honeybees.md)