HERO: A hierarchy-aware analysis pipeline for reducing and refining whole-brain atlas-mapped cellular datasets

HERO reduces and refines whole-brain atlas-mapped cellular datasets by enabling hierarchical analysis, improving data clarity and reproducibility across neuroscience studies.

• Why it matters: Handling large, complex datasets from high-throughput imaging poses a barrier to extracting meaningful biological insights, leading to inconsistent analysis methods and limited reproducibility.
• What they did: HERO is a user-friendly, customizable pipeline that performs hierarchy-aware selection, refinement, ranking, and visualization of whole-brain cell detection data, requiring minimal coding.
• The result: HERO transforms raw regional cell counts into curated, transparent results, enhancing the interpretability and accessibility of whole-brain imaging data for neuroscience research.