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Review of data processing of functional optical microscopy for neuroscience. | LitMetric
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Review of data processing of functional optical microscopy for neuroscience.

Hadas Benisty Alexander Song Gal Mishne Adam S Charles

Neurophotonics

Johns Hopkins University, Kavli Neuroscience Discovery Institute, Center for Imaging Science, Department of Biomedical Engineering, Department of Neuroscience, and Mathematical Institute for Data Science, Baltimore, Maryland, United States.

Published: October 2022

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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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9351186PMC
http://dx.doi.org/10.1117/1.NPh.9.4.041402DOI Listing

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