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https://github.com/joda01/evanalyzer

EVAnalyzer 1 - EV analyzing plugin for Fiji
https://github.com/joda01/evanalyzer

bioinformatics biology ev fiji-plugin imagej-plugins

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EVAnalyzer 1 - EV analyzing plugin for Fiji

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[![Release to Update Site](https://github.com/joda01/evanalyzer/actions/workflows/release.yaml/badge.svg)](https://github.com/joda01/evanalyzer/actions/workflows/release.yaml)
# EVAnalyzer

Please forward to [EVAnalyzer 2](https://github.com/joda01/imagec) powered by ImageC

![./doc/screenshot_v80.png](./doc/screenshot_v80.png)

[](https://onlinelibrary.wiley.com/doi/full/10.1002/jev2.12282)

## Description
EVAnalyzer is a Fiji ImageJ plugin designed for analyzing microscope pictures of EVs. This plugin can be used for:
* Counting the number of EVs.
* Calculating the colocalization of evs and other particles.
* Detect biological cells and counting EVs updatekn from cells.
* Analysis of a large amount of images automatically.
* Generating XLSX (Excel) reports with automatic statistics generation.

## Installation
* Download and instal Fiji from [Fiji](https://imagej.net/Fiji/Downloads).
* Add EVAnalyzer to update sites:
1. Open Fiji
2. Click `Help -> Update`
![add_update_site_01.png](doc/add_update_site_01.png)
3. Click `Manage update sites`
![add_update_site_02.png](doc/add_update_site_02.png)
4. Click `Add update site`
![add_update_site_03.png](doc/add_update_site_03.png)
5. Look `EVAnalayzer` in the update site list or enter `EVAnalayzer` in name field and `https://sites.imagej.net/evanalyzer/` in the URL field
![add_update_site_04.png](doc/add_update_site_04.png)
6. Restart Fiji

## Roadmap

- [ ] Make it possible to automatically generate reports for 10'000 and more images per run.
- [ ] Export of `R` files and automatic diagram generation.
- [ ] Implement automatic unit test as positive and negative control reference to be sure that an update does not influence future analysis results.
- [ ] Improve preview functionaltity to be more detailed.
- [ ] Extend to support more than 5 channels.
- [ ] Include handbook and Help functionality directly from the PlugIn.

## Contributing

If you have some questions, feature requests or if you found a bug, please just create an issue in the Issues tab.

## Coding

For development Visual Studio Code is used. Compiling is done within a docker image (dev container).
* Download and install [Visual Studio Code](https://code.visualstudio.com/)
* Install ```Remote Container``` plugin.
* Clone the repository and open the cloned folder in Visual Studio Code.
* Reopen the project in Dev Container.
* Run ```./build.sh``` to compile the project.

## Common issues
* Images used in the plugin cannot be in the RGB format, and must be monochromatic.
* Actually VSI, TIFF, ICS, and CZI images can be processed.

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## Research Article

First published: 27. November 2022 | https://doi.org/10.1002/jev2.12282

## Cite

Schürz, M., Danmayr, J., Jaritsch, M., Klinglmayr, E., Benirschke, H. M., Matea, C. -. T., Zimmerebner, P., Rauter, J., Wolf, M., Gomes, F. G., Kratochvil, Z., Heger, Z., Miller, A., Heuser, T., Stanojlovic, V., Kiefer, J., Plank, T., Johnson, L., Himly, M., … Meisner-Kober, N. (2022). EVAnalyzer: High content imaging for rigorous characterisation of single extracellular vesicles using standard laboratory equipment and a new open-source ImageJ/Fiji plugin. Journal of Extracellular Vesicles, 11, e12282. https://doi.org/10.1002/jev2.12282