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.

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• Liang Xiang

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