imagej/imagejhub.io.git
Jan 2026 – Jan 2026
1 Month active
Languages Used
JavaMarkdown
Technical Skills
AI integrationJavaJava programmingacademic writingcontent creationcontent management
epivitae
PROFILE
Epivitae
During January 2026, contributed to the imagej/imagejhub.io.git repository by developing and releasing four major features, including the RIA-J plugin with an interactive Swing dashboard for real-time ratiometric analysis and artifact-suppressing smoothing. Leveraged Java and AI integration to deliver advanced image analysis plugins, such as NIA, FIA, MIA, and WinMan, each with dedicated plugin sites and Zenodo DOI integration. Enhanced project organization through metadata standardization, improved documentation, and refreshed branding. Focused on content management and technical writing to streamline onboarding for researchers, while reorganizing biosensor plugins and establishing a CNS Team Page to strengthen the plugin ecosystem’s discoverability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
17Total
Bugs
0
Commits
17
Features
4
Lines of code
604
Activity Months1
Your Network
64 peopleWork History
January 2026
17 Commits • 4 Features
Jan 1, 2026January 2026 highlights: Expanded the ImageJ plugin ecosystem with four major feature launches and significant documentation/branding improvements. Delivered RIA-J v0.5.1 with an interactive Swing dashboard for real-time ratiometric analysis, artifact-suppressing smoothing (normalized convolution), and Zenodo DOI integration; established the official update site and refreshed plugin metadata and branding. Added New Advanced Image Analysis Plugins (NIA, FIA, MIA, WinMan) with dedicated plugin sites. Reorganized biosensor plugins with updated DOIs and metadata, and created a CNS Team Page. Standardized front matter, categories, and branding across the repo to improve discoverability and citability. Business impact includes faster onboarding for researchers and stronger ecosystem support.
17 Commits • 4 Features
Jan 1, 2026January 2026 highlights: Expanded the ImageJ plugin ecosystem with four major feature launches and significant documentation/branding improvements. Delivered RIA-J v0.5.1 with an interactive Swing dashboard for real-time ratiometric analysis, artifact-suppressing smoothing (normalized convolution), and Zenodo DOI integration; established the official update site and refreshed plugin metadata and branding. Added New Advanced Image Analysis Plugins (NIA, FIA, MIA, WinMan) with dedicated plugin sites. Reorganized biosensor plugins with updated DOIs and metadata, and created a CNS Team Page. Standardized front matter, categories, and branding across the repo to improve discoverability and citability. Business impact includes faster onboarding for researchers and stronger ecosystem support.
January 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage23.6%
Skills & Technologies
Programming Languages
JavaMarkdown
Technical Skills
AI integrationJavaJava programmingacademic writingcontent creationcontent managementcontent standardizationdocumentationfile managementfront end developmentgraphic designimage analysisimage processingmetadata analysismetadata management
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