Metadata-Version: 2.1
Name: napari-generic-SIMulator
Version: 0.1.1
Summary: A napari plugin to simulate raw-image stacks of Structured illumination microscopy (SIM).
Home-page: https://github.com/Meizhu-Liang/napari-generic-SIMulator
Author: Meizhu Liang
Author-email: ml2618@ic.ac.uk
License: BSD-3-Clause
Project-URL: Bug Tracker, https://github.com/Meizhu-Liang/napari-generic-SIMulator/issues
Project-URL: Documentation, https://github.com/Meizhu-Liang/napari-generic-SIMulator#README.md
Project-URL: Source Code, https://github.com/Meizhu-Liang/napari-generic-SIMulator
Project-URL: User Support, https://github.com/Meizhu-Liang/napari-generic-SIMulator/issues
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Framework :: napari
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: magicgui
Requires-Dist: qtpy
Requires-Dist: tifffile
Requires-Dist: opt-einsum
Requires-Dist: matplotlib
Requires-Dist: pypcd-imp
Provides-Extra: testing
Requires-Dist: tox ; extra == 'testing'
Requires-Dist: pytest ; extra == 'testing'
Requires-Dist: pytest-cov ; extra == 'testing'
Requires-Dist: pytest-qt ; extra == 'testing'
Requires-Dist: napari ; extra == 'testing'
Requires-Dist: pyqt5 ; extra == 'testing'
Requires-Dist: tifffile ; extra == 'testing'
Requires-Dist: open3d ; extra == 'testing'
Requires-Dist: opt-einsum ; extra == 'testing'
Requires-Dist: matplotlib ; extra == 'testing'

# napari-generic-SIMulator

[![License BSD-3](https://img.shields.io/pypi/l/napari-generic-SIMulator.svg?color=green)](https://github.com/Meizhu-Liang/napari-generic-SIMulator/raw/main/LICENSE)
[![PyPI](https://img.shields.io/pypi/v/napari-generic-SIMulator.svg?color=green)](https://pypi.org/project/napari-generic-SIMulator)
[![Python Version](https://img.shields.io/pypi/pyversions/napari-generic-SIMulator.svg?color=green)](https://python.org)
[![tests](https://github.com/Meizhu-Liang/napari-generic-SIMulator/workflows/tests/badge.svg)](https://github.com/Meizhu-Liang/napari-generic-SIMulator/actions)
[![codecov](https://codecov.io/gh/Meizhu-Liang/napari-generic-SIMulator/branch/main/graph/badge.svg)](https://codecov.io/gh/Meizhu-Liang/napari-generic-SIMulator)
[![napari hub](https://img.shields.io/endpoint?url=https://api.napari-hub.org/shields/napari-generic-SIMulator)](https://napari-hub.org/plugins/napari-generic-SIMulator)

A napari plugin to simulate raw-image stacks of Structured illumination microscopy (SIM). 

The simulation is originally based on the paper <strong>GPU-accelerated real-time reconstruction in Python of three-dimensional datasets from structured illumination microscopy with hexagonal patterns</strong> by
Hai Gong, Wenjun Guo and Mark A. A. Neil (https://doi.org/10.1098/rsta.2020.0162). 

The calculation can be GPU-accelerated if the CUPY (tested with cupy-cuda11x) is installed. In addition, the TORCH package can complete the acceleration both on CPU if TORCH is installed, and on GPU if TORCH is compiled with the CUDA (tested with torch v1.13.1+cu117) enabled.

Currently applies to:
- conventional 2-beam SIM data with 3 angles and 3 phases
- 3-beam hexagonal SIM data with 7 phases, as described in the paper
- 3-beam hexagonal SIM data with 5 phases at right-angles
- conventional 3-beam 3-D data with 3 angles and 5 phases

----------------------------------

This [napari] plugin was generated with [Cookiecutter] using [@napari]'s [cookiecutter-napari-plugin] template.

<!--
Don't miss the full getting started guide to set up your new package:
https://github.com/napari/cookiecutter-napari-plugin#getting-started

and review the napari docs for plugin developers:
https://napari.org/plugins/index.html
-->

## Installation

You can install `napari-generic-SIMulator` via [pip]:

    pip install napari-generic-SIMulator



To install latest development version :

    pip install git+https://github.com/Meizhu-Liang/napari-generic-SIMulator.git

This plugin is compatible with **napari 0.4.17** or above, older versions of napari would show errors in _interpolation_.

## Usage

1) Open napari and create the viewer.


2) Launch two widgets: **Point cloud generator** and **SIM data generator** in ***Plugin***.

   ![raw](https://github.com/Meizhu-Liang/napari-generic-SIMulator/raw/main/images/lauch.png)

   The two widgets can be tabbed together.
   ![raw](https://github.com/Meizhu-Liang/napari-generic-SIMulator/raw/main/images/2tabs.png)


3) Choose the type and other parameters of point cloud as a sample in **Point cloud generator**.

    ![raw](https://github.com/Meizhu-Liang/napari-generic-SIMulator/raw/main/images/pc.png)

    The point cloud can be displayed in three dimensions, and be saved and loaded as .pcd files.
  
    https://user-images.githubusercontent.com/74197598/227589232-9006842b-6706-48b7-9f2b-fe93c6698503.mp4


4) Adjust parameters in SIM data generator to simulate a raw image stack.

   Apart from basic parameters such as the refractive index, the wavelengths and so on, the z scanning can be either 
   **z drift**: the conventional SIM (imaging a raw stack at the same z-position) or **z step**: the drifting case in 
   the papaer mentioned above (imaging only one raw image at a z-position).


   ![raw](https://github.com/Meizhu-Liang/napari-generic-SIMulator/raw/main/images/raw_stack.png)

   The parameters used in the simulation can be saved with the image stack by clicking **save tif with tags**. Tags (of current or of one stack dragged into napari viewer) can be printed in Python by **print tags**. 


5) Three-dimensional point spread function (**PSF**), optical transfer function (**OTF**) and **illumination** patterns applied in the simulation can be showed by buttons. Note the all of these correspond the generated raw-image stack, so keep the parameters the same before showing the **PSF** (or **OTF** and **illumination**).

    https://user-images.githubusercontent.com/74197598/227588321-ad3c8f17-1c61-4079-9e34-9b1f990714c1.mp4
    
    https://user-images.githubusercontent.com/74197598/227586957-b76ad56e-44d5-4d9b-a1cc-2cfd08ca5400.mp4
    
    https://user-images.githubusercontent.com/74197598/227585827-64531265-b4fb-48a9-9698-7f263f22d718.mp4 
   
6) The raw image stacks can be then processed by napari-sim-processor (https://www.napari-hub.org/plugins/napari-sim-processor).
   
   ![raw](https://github.com/Meizhu-Liang/napari-generic-SIMulator/raw/main/images/processor.png)


## Contributing

Contributions are very welcome. Tests can be run with [tox], please ensure
the coverage at least stays the same before you submit a pull request.

## License

Distributed under the terms of the [BSD-3] license,
"napari-generic-SIMulator" is free and open source software

## Issues

If you encounter any problems, please [file an issue] along with a detailed description.

[napari]: https://github.com/napari/napari
[Cookiecutter]: https://github.com/audreyr/cookiecutter
[@napari]: https://github.com/napari
[MIT]: http://opensource.org/licenses/MIT
[BSD-3]: http://opensource.org/licenses/BSD-3-Clause
[GNU GPL v3.0]: http://www.gnu.org/licenses/gpl-3.0.txt
[GNU LGPL v3.0]: http://www.gnu.org/licenses/lgpl-3.0.txt
[Apache Software License 2.0]: http://www.apache.org/licenses/LICENSE-2.0
[Mozilla Public License 2.0]: https://www.mozilla.org/media/MPL/2.0/index.txt
[cookiecutter-napari-plugin]: https://github.com/napari/cookiecutter-napari-plugin

[file an issue]: https://github.com/Meizhu-Liang/napari-generic-SIMulator/issues

[napari]: https://github.com/napari/napari
[tox]: https://tox.readthedocs.io/en/latest/
[pip]: https://pypi.org/project/pip/
[PyPI]: https://pypi.org/
