Metadata-Version: 2.4
Name: numbers_and_brightness
Version: 0.1.14
Summary: Numbers and brightness analysis for microscopic image analysis implemented in python.
Author: KJ van Beem
License: GPL-3.0
Project-URL: Homepage, https://github.com/JvB22/Numbers_and_brightness
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: <3.13,>=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: cellpose[gui]==3.1.1.2
Requires-Dist: numpy==2.0.2
Requires-Dist: matplotlib>=3.10.1
Requires-Dist: opencv-python>=4.11.0.86
Requires-Dist: scipy>=1.15.2
Requires-Dist: tifffile>=2025.3.30
Requires-Dist: tqdm>=4.67.1
Requires-Dist: pyshortcuts>=1.9.5
Requires-Dist: PyQt6>=6.9.0
Requires-Dist: pandas>=2.2.3
Dynamic: license-file

# Numbers-and-brightness
Numbers and brightness analysis for microscopic image analysis with automatic segmentation and interactive data visualisation implemented in python.

[For information about usage and functionality, please see the documentation.](https://jvb22.github.io/Numbers-and-brightness/)

<img src="./assets/images/documentation.png" width="50%" height="50%">

## Installation
Numbers and brightness is available on PyPi and can be installed as follows:
```shell
pip install numbers_and_brightness
```

## Examples
### Automatic batch processing
![](./assets/images/output_csv.png)

### Interactive data inspection
![](./assets/images/brightness_x_intensity.png)

![](./assets/images/brightness_x_intensity_img_selection.png)
