acia 0.3.0

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

Acia: Automated single-cell image analysis

Accio 🪄 - and your single-cell insights appear - Not quite but - acia - and your single-cell insights appear to become much easier 😉

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://github.com/JuBiotech/acia-core.git
   cd acia-core
   

2. Create the conda environment (including dependencies) and install acia

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