https://github.com/joda01/evanalyzer
EVAnalyzer 1 - EV analyzing plugin for Fiji
https://github.com/joda01/evanalyzer
bioinformatics biology ev fiji-plugin imagej-plugins
Last synced: 5 months ago
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EVAnalyzer 1 - EV analyzing plugin for Fiji
- Host: GitHub
- URL: https://github.com/joda01/evanalyzer
- Owner: joda01
- License: gpl-3.0
- Created: 2020-09-26T19:53:21.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2025-06-03T20:26:48.000Z (about 1 year ago)
- Last Synced: 2025-06-04T05:13:42.116Z (about 1 year ago)
- Topics: bioinformatics, biology, ev, fiji-plugin, imagej-plugins
- Language: Java
- Homepage:
- Size: 317 MB
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 6
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
[](https://github.com/joda01/evanalyzer/actions/workflows/release.yaml)
# EVAnalyzer
Please forward to [EVAnalyzer 2](https://github.com/joda01/imagec) powered by ImageC

[](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`

3. Click `Manage update sites`

4. Click `Add update site`

5. Look `EVAnalayzer` in the update site list or enter `EVAnalayzer` in name field and `https://sites.imagej.net/evanalyzer/` in the URL field

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.
---
## 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