A compact Jupyter notebook for analyzing calcium imaging data that:
- Loads GFP (or other wide‑field) video acquisitions via imageio.
- Computes mean fluorescence per frame.
- Normalises to the 10th‑percentile baseline so ΔF/F₀ = 0 % means no change.
- Computes and plots the ΔF/F₀ per frame.
Simple kick-starter for python analysis of MCAM video data!
conda env create -f environment.yml
conda activate cardiac_organoid_deltaF
jupyter lab fluorescence_analysis.ipynb
uv run --with jupyter jupyter lab fluorescence_analysis.ipynb
MIT