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The acia library provides utility functionality for analyzing 2D+t time-lapse image sequences in microfluidic live-cell imaging experiments.

Project description

acia: Automated single-cell image analysis

pipeline coverage

The acia library provides utility functionality for analysing 2D+t time-lapse image sequences in microfluidic live-cell imaging experiments. It provides:

  • Abstraction for various image sources (local, OMERO)
  • automated image analysis for instance segmentation and tracking
  • automated and unit-aware single-object property extraction.

Although the funtionality is developed with microfluidic applications in mind, the library can be used for any objects detected in images.

Installation

Install acia from pypi:

pip install acia

Developers

  1. Clone this repository

    git clone https://jugit.fz-juelich.de/IBG-1/ModSim/imageanalysis/acia
    
  2. Create the conda environment (including dependencies) and install acia

    conda env create -f conda.yaml
    conda activate acia
    pip install -e .
    

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