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- W4381492511 abstract "Optimizing genetically encoded fluorescent indicators (GEFIs) is intellectually and experimentally taxing. We developed a machine learning (ML) platform to discover new variants of the calcium indicator GCaMP and illustrate ML’s ability to accelerate GEFI engineering." @default.
- W4381492511 created "2023-06-22" @default.
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- W4381492511 date "2023-01-01" @default.
- W4381492511 modified "2023-09-24" @default.
- W4381492511 title "Application of Machine Learning to Direct Calcium Indicator Engineering" @default.
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- W4381492511 doi "https://doi.org/10.1364/brain.2023.bm4b.2" @default.
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