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Review of data processing of functional optical microscopy for neuroscience.

Authors
  • Benisty, Hadas
  • Song, Alexander
  • Mishne, Gal
  • Charles, Adam S
Publication Date
Oct 01, 2022
Source
eScholarship - University of California
Keywords
License
Unknown
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Abstract

Functional optical imaging in neuroscience is rapidly growing with the development of optical systems and fluorescence indicators. To realize the potential of these massive spatiotemporal datasets for relating neuronal activity to behavior and stimuli and uncovering local circuits in the brain, accurate automated processing is increasingly essential. We cover recent computational developments in the full data processing pipeline of functional optical microscopy for neuroscience data and discuss ongoing and emerging challenges.

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