Glickfeld-And-Hull-Laboratories/ImagingCode-Glickfeld-Hull
Apr 2025 – Apr 2025
1 Month active
Languages Used
MATLAB
Technical Skills
Data ProcessingFile Path ManipulationImage AnalysisMATLAB ScriptingScientific Computing
MJHarris-DU
PROFILE
Mjharris-du
In April 2025, Michael H. developed a MATLAB script, QuickRet_mjh.m, for the Glickfeld-And-Hull-Laboratories/ImagingCode-Glickfeld-Hull repository to streamline two-photon imaging data analysis. Leveraging MATLAB scripting and scientific computing skills, he designed a workflow that loads experimental data, computes dF/F, and generates both retinotopic maps and field-of-view averages. The script accommodates multiple experimental configurations and automates the saving of output figures, supporting reproducible and consistent analyses across the team. Michael’s work established a standardized data processing pipeline, improving turnaround time and traceability for imaging experiments, and demonstrated depth in data processing and image analysis within scientific research.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
251
Activity Months1
Your Network
26 people
Work History
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for Glickfeld-And-Hull-Laboratories/ImagingCode-Glickfeld-Hull. Delivered a new MATLAB script (QuickRet_mjh.m) in the michaelH folder to streamline two-photon data analysis. The workflow loads data, computes dF/F, and generates retinotopic maps and FOV averages, with support for multiple experimental configurations and automatic saving of output figures. This work lays the foundation for faster data turnaround, consistent analyses across experiments, and improved reproducibility.
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for Glickfeld-And-Hull-Laboratories/ImagingCode-Glickfeld-Hull. Delivered a new MATLAB script (QuickRet_mjh.m) in the michaelH folder to streamline two-photon data analysis. The workflow loads data, computes dF/F, and generates retinotopic maps and FOV averages, with support for multiple experimental configurations and automatic saving of output figures. This work lays the foundation for faster data turnaround, consistent analyses across experiments, and improved reproducibility.
April 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture70.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MATLAB
Technical Skills
Data ProcessingFile Path ManipulationImage AnalysisMATLAB ScriptingScientific Computing
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