{"id":42712346,"url":"https://github.com/joda01/evanalyzer","last_synced_at":"2026-01-29T15:12:16.135Z","repository":{"id":43659169,"uuid":"298889241","full_name":"joda01/evanalyzer","owner":"joda01","description":"EVAnalyzer 1 - EV analyzing plugin for Fiji","archived":false,"fork":false,"pushed_at":"2025-06-03T20:26:48.000Z","size":331931,"stargazers_count":4,"open_issues_count":6,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-04T05:13:42.116Z","etag":null,"topics":["bioinformatics","biology","ev","fiji-plugin","imagej-plugins"],"latest_commit_sha":null,"homepage":"","language":"Java","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/joda01.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2020-09-26T19:53:21.000Z","updated_at":"2025-06-03T20:26:23.000Z","dependencies_parsed_at":"2023-01-23T06:45:47.209Z","dependency_job_id":"2da45bcd-033f-4fb8-9d11-57118f2a72f6","html_url":"https://github.com/joda01/evanalyzer","commit_stats":null,"previous_names":[],"tags_count":44,"template":false,"template_full_name":null,"purl":"pkg:github/joda01/evanalyzer","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joda01%2Fevanalyzer","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joda01%2Fevanalyzer/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joda01%2Fevanalyzer/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joda01%2Fevanalyzer/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/joda01","download_url":"https://codeload.github.com/joda01/evanalyzer/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joda01%2Fevanalyzer/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28880017,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-29T10:31:27.438Z","status":"ssl_error","status_checked_at":"2026-01-29T10:31:01.017Z","response_time":59,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["bioinformatics","biology","ev","fiji-plugin","imagej-plugins"],"created_at":"2026-01-29T15:12:13.684Z","updated_at":"2026-01-29T15:12:16.122Z","avatar_url":"https://github.com/joda01.png","language":"Java","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![Release to Update Site](https://github.com/joda01/evanalyzer/actions/workflows/release.yaml/badge.svg)](https://github.com/joda01/evanalyzer/actions/workflows/release.yaml)\n# EVAnalyzer\n\nPlease forward to [EVAnalyzer 2](https://github.com/joda01/imagec) powered by ImageC\n\n\n![./doc/screenshot_v80.png](./doc/screenshot_v80.png)\n\n[](https://onlinelibrary.wiley.com/doi/full/10.1002/jev2.12282)\n\n## Description\nEVAnalyzer is a Fiji ImageJ plugin designed for analyzing microscope pictures of EVs. This plugin can be used for:\n*  Counting the number of EVs.\n*  Calculating the colocalization of evs and other particles.\n*  Detect biological cells and counting EVs updatekn from cells.\n*  Analysis of a large amount of images automatically.\n*  Generating XLSX (Excel) reports with automatic statistics generation.\n\n\n## Installation\n*  Download and instal Fiji from [Fiji](https://imagej.net/Fiji/Downloads).\n*  Add EVAnalyzer to update sites:\n  1.  Open Fiji\n  2.  Click `Help -\u003e Update`\n  ![add_update_site_01.png](doc/add_update_site_01.png)\n  3.  Click `Manage update sites`\n  ![add_update_site_02.png](doc/add_update_site_02.png)\n  4.  Click `Add update site`\n    ![add_update_site_03.png](doc/add_update_site_03.png)\n  5. Look `EVAnalayzer` in the update site list or enter `EVAnalayzer` in name field and `https://sites.imagej.net/evanalyzer/` in the URL field\n    ![add_update_site_04.png](doc/add_update_site_04.png)\n  6. Restart Fiji\n\n\n## Roadmap\n\n- [ ] Make it possible to automatically generate reports for 10'000 and more images per run.\n- [ ] Export of `R` files and automatic diagram generation.\n- [ ] Implement automatic unit test as positive and negative control reference to be sure that an update does not influence future analysis results.\n- [ ] Improve preview functionaltity to be more detailed.\n- [ ] Extend to support more than 5 channels.\n- [ ] Include handbook and Help functionality directly from the PlugIn.\n\n\n## Contributing\n\nIf you have some questions, feature requests or if you found a bug, please just create an issue in the Issues tab.\n\n## Coding\n\nFor development Visual Studio Code is used. Compiling is done within a docker image (dev container).\n*  Download and install [Visual Studio Code](https://code.visualstudio.com/)\n*  Install ```Remote Container``` plugin.\n*  Clone the repository and open the cloned folder in Visual Studio Code.\n*  Reopen the project in Dev Container.\n*  Run ```./build.sh``` to compile the project.\n\n\n## Common issues\n*  Images used in the plugin cannot be in the RGB format, and must be monochromatic.\n*  Actually VSI, TIFF, ICS, and CZI images can be processed.\n\n---\n\n## Research Article\n\nFirst published: 27. November 2022 | https://doi.org/10.1002/jev2.12282\n\n## Cite\n\nSchürz, 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\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjoda01%2Fevanalyzer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjoda01%2Fevanalyzer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjoda01%2Fevanalyzer/lists"}