Review of data processing of functional optical microscopy for neuroscience

Hadas Benisty; Alexander Song; Gal Mishne; Adam S. Charles

doi:10.1117/1.NPh.9.4.041402

Review of data processing of functional optical microscopy for neuroscience

Hadas Benisty, Alexander Song, Gal Mishne, Adam S. Charles

Whiting School of Engineering

Research output: Contribution to journal › Review article › peer-review

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.

Original language	English (US)
Article number	041402
Journal	Neurophotonics
Volume	9
Issue number	4
DOIs	https://doi.org/10.1117/1.NPh.9.4.041402
State	Published - Oct 1 2022

Keywords

calcium imaging
data analysis
fluorescence microscopy
functional imaging

ASJC Scopus subject areas

Radiological and Ultrasound Technology
Radiology Nuclear Medicine and imaging
Neuroscience (miscellaneous)

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10.1117/1.NPh.9.4.041402

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title = "Review of data processing of functional optical microscopy for neuroscience",

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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AU - Benisty, Hadas

AU - Song, Alexander

AU - Mishne, Gal

AU - Charles, Adam S.

N1 - Funding Information: G.M. was supported by funding from the NIH Grant Nos. R01EB026936 and U19NS123717. Publisher Copyright: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

PY - 2022/10/1

Y1 - 2022/10/1

N2 - 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.

AB - 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.

KW - calcium imaging

KW - data analysis

KW - fluorescence microscopy

KW - functional imaging

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Review of data processing of functional optical microscopy for neuroscience

Abstract

Keywords

ASJC Scopus subject areas

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