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
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
-
Clone this repository
git clone https://jugit.fz-juelich.de/IBG-1/ModSim/imageanalysis/acia
-
Create the conda environment (including dependencies) and install
aciaconda env create -f conda.yaml conda activate acia pip install -e .
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