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Red Blood Cell Instancing and Segmentation using Deep Learning and Synthetic Data

Example tracking GIF

The code belonging to the paper: Deep learning trained on synthetic cells to quantify red blood cell deformability in malaria

Environment Prerequisites

Conda

  1. Install miniconda
  2. Create environment using environment.yml:
    conda env create -f environment.yml
  3. Activate environment:
    conda activate SyntheticCells

Data

The microfluidic device videos have been deposited on the Zenodo repository webserver.

(https://doi.org/10.5281/zenodo.7374342)

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  • Python 100.0%