`qim3D`is a Python library for quantitative imaging analysis in 3D. It provides functionality for handling data, as well as tools for visualization and analysis.
The `qim3d`library is designed to make it easier to work with 3D imaging data in Python. It offers a range of features, including data loading and manipulation, image processing and filtering, visualization of 3D data, and analysis of imaging results.
This library contains the tools and functionalities of the QIM platform, accessible at https://qim.dk/platform
You can easily load and process 3D image data from various file formats, apply filters and transformations to the data, visualize the results using interactive plots and 3D rendering, and perform quantitative analysis on the images.
## Installation
Whether you are working with medical imaging data, materials science data, or any other type of 3D imaging data, `qim3d` provides a convenient and powerful set of tools to help you analyze and understand your data.
Install the latest stable version by using pip:
Documentation available at https://platform.qim.dk/qim3d/
```bash
pip install qim3d
```
Or clone this repository for the most recent version.
# Usage
Some basic funtionalites are descibred here. The full documentation is still under development.
## Loading Data
To load image data from a file, use `qim.io.load()`
The library also provides GUI components for interactive data analysis and exploration.
The `qim3d.gui` module contains various classes for visualization and analysis:
```python
importqim3d
app=qim3d.gui.iso3d.Interface()
app.launch()
```
GUIs can also be launched using the Qim3D CLI:
```
$ qim3d gui --data-explorer
```
# Contributing
Contributions to `qim3d` are welcome! If you find a bug, have a feature request, or would like to contribute code, please open an issue or submit a pull request.
