Glickfeld-And-Hull-Laboratories/ImagingCode-Glickfeld-Hull
Feb 2025 – Feb 2025
1 Month active
Languages Used
MATLAB
Technical Skills
Behavioral AnalysisData AnalysisImage Processing
Lindsey Wilson
PROFILE
Lindsey Wilson
Worked on enhancing the ImagingCode-Glickfeld-Hull repository by delivering a widefield running analysis feature focused on locomotion analysis. The work involved updating configuration management and refactoring data loading processes to support new experimental setups, thereby improving the accuracy and reliability of behavioral and data analysis workflows. Using MATLAB and leveraging skills in image processing, the developer updated file paths and experimental parameters to accommodate evolving research needs. This effort increased the maintainability and future configurability of the analysis pipeline, laying groundwork for scalable experiments and aligning with ongoing project standards for robust, reproducible data handling in widefield imaging contexts.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
31
Activity Months1
Your Network
10 peopleWork History
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 focused on delivering a key feature in the widefield running analysis pipeline for Locomotion Analysis within ImagingCode-Glickfeld-Hull. Implemented a configuration update and data loading refactor to support new experimental configurations, enhancing data handling accuracy and reliability for locomotion analyses. This work improves workflow robustness and sets the foundation for scalable, configurable analyses across future experiments. Committed work integrated with the Glickfeld-Hull imaging codebase, aligning with ongoing project goals and quality standards.
1 Commits • 1 Features
Feb 1, 2025February 2025 focused on delivering a key feature in the widefield running analysis pipeline for Locomotion Analysis within ImagingCode-Glickfeld-Hull. Implemented a configuration update and data loading refactor to support new experimental configurations, enhancing data handling accuracy and reliability for locomotion analyses. This work improves workflow robustness and sets the foundation for scalable, configurable analyses across future experiments. Committed work integrated with the Glickfeld-Hull imaging codebase, aligning with ongoing project goals and quality standards.
February 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MATLAB
Technical Skills
Behavioral AnalysisData AnalysisImage Processing
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