Review of data processing of functional optical microscopy for neuroscience
Hadas Benisty, Alexander Song, Gal Mishne, Adam S. Charles
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.
Topics & Concepts
NeuroscienceComputer scienceNeuroinformaticsPipeline (software)Optical imagingNeuroimagingData scienceBiologyPhysicsProgramming languageOpticsAdvanced Fluorescence Microscopy TechniquesPhotoreceptor and optogenetics researchOptical Imaging and Spectroscopy Techniques