acia

Name	acia JSON
Version	0.2.37 JSON
	download
home_page	https://github.com/JojoDevel/acia
Summary	The acia library provides utility functionality for analyzing 2D+t time-lapse image sequences in microfluidic live-cell imaging experiments.
upload_time	2024-12-10 12:48:40
maintainer	None
docs_url	None
author	Johannes Seiffarth
requires_python	>=3.6
license	MIT license
keywords	acia
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # **acia**: Automated single-cell image analysis

![pipeline](https://jugit.fz-juelich.de/IBG-1/ModSim/imageanalysis/acia/badges/master/pipeline.svg)
![coverage](https://jugit.fz-juelich.de/IBG-1/ModSim/imageanalysis/acia/badges/master/coverage.svg)

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:

```bash
pip install acia
```


## Developers

1. Clone this repository
    ```bash
    git clone https://jugit.fz-juelich.de/IBG-1/ModSim/imageanalysis/acia
    ```

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

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

            

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