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CIPipeline is a tool to analyze and process Calcium Imaging data.

Project description

CIPipeline / CI_Pipe

English

Short description

CIPipeline (imported as ci_pipe) is a Python library for building and running calcium-imaging processing pipelines used by the CGK Laboratory. It provides core pipeline primitives, optional adapters for Inscopix (isx) and CaImAn (caiman), utilities, plotters and example Jupyter notebooks.

Development team

The project was developed as a final project by students from Facultad de Ingeniería, Universidad de Buenos Aires, under the supervision of a tutor, in collaboration with the CGK Laboratory.

Contributors:

  • Gonzalez Agustín
  • Loyarte Iván
  • Rueda Nazarena
  • Singer Joaquín
  • Fernando Chaure (Tutor)

Installation tutorial

  1. Install the library from PyPI
pip install cipipeline
  1. Optional: Install Inscopix isx (required for the isx module)

Follow the isx repository documentation for installation details (some Inscopix packages may require credentials or vendor-specific installers).

  1. Optional: Install CaImAn (required for the caiman module)

CaImAn strongly recommends installing via conda for full functionality; follow the CaImAn docs.

  1. Jupyter (recommended for opening example notebooks)
pip install jupyterlab
# or
pip install notebook

Useful links

CGK Laboratory page

Example guide

Example Jupyter notebooks live in docs/examples. To run them locally:

git clone <repo>
cd <repo>
pip install -e .
# install optional dependencies if needed (isx, caiman)
jupyter lab
# open notebooks in docs/examples

Read the Spanish translation in README.es.md (or view both sections in the repository).

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