Quality Assessment for Calcium Imaging Data (QACID)
- Program: Biomedical Engineering
- Course: EN.580.438 Biomedical Data Design
Project Description:
Two-photon calcium imaging (2PCI) has become a vital tool in neuroscience, valued for its ability to capture detailed activity deep within brain tissue in real time. However, before analyzing this data, it is crucial to ensure its quality. Assessing the quality of raw 2PCI datasets helps avoid the use of flawed data, saving both time and computational resources. In this context, we introduce QACID, a pre-analysis pipeline designed to evaluate data quality by examining temporal and spatial features. QACID enhances the trustworthiness of research outcomes and increases efficiency by preventing the processing of inferior-quality datasets.
Project Photo:
A photo of the QACID team
Project Poster
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Project Post Summary:
Poster of QACID prepared for the Design Day 2024 of JHU