CalcCatch
Developed for my MSc research to automate region-of-interest detection in calcium imaging data. Takes raw neuroscience imaging datasets, identifies active cell regions automatically, and outputs structured results that would otherwise require months of manual annotation. On a hand-annotated recording it found 59% of marked neurons, about double the standard toolbox’s 30%.