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🔬 Fluorescence ΔF/F₀ Notebook

Cardiac organoid gif

A compact Jupyter notebook for analyzing calcium imaging data that:

  1. Loads GFP (or other wide‑field) video acquisitions via imageio.
  2. Computes mean fluorescence per frame.
  3. Normalises to the 10th‑percentile baseline so ΔF/F₀ = 0 % means no change.
  4. Computes and plots the ΔF/F₀ per frame.

Simple kick-starter for python analysis of MCAM video data!

Setup

Conda

1. Create the environment

conda env create -f environment.yml

2. Activate the environment

conda activate cardiac_organoid_deltaF

3. Start Jupyter Lab

jupyter lab fluorescence_analysis.ipynb

uv

uv run --with jupyter jupyter lab fluorescence_analysis.ipynb

License

MIT

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Example notebook for getting started analyzing MCAM video files in Python

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