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Title: Sparse decomposition light-field microscopy for high speed imaging of neuronal activity

One of the major challenges in large scale optical imaging of neuronal activity is to simultaneously achieve sufficient temporal and spatial resolution across a large volume. Here, we introduce sparse decomposition light-field microscopy (SDLFM), a computational imaging technique based on light-field microscopy (LFM) that takes algorithmic advantage of the high temporal resolution of LFM and the inherent temporal sparsity of spikes to improve effective spatial resolution and signal-to-noise ratios (SNRs). With increased effective spatial resolution and SNRs, neuronal activity at the single-cell level can be recovered over a large volume. We demonstrate the single-cell imaging capability of SDLFM within vivoimaging of neuronal activity of whole brains of larval zebrafish with estimated lateral and axial resolutions of∼<#comment/>3.5µ<#comment/>mand∼<#comment/>7.4µ<#comment/>m, respectively, acquired at volumetric imaging rates up to 50 Hz. We also show that SDLFM increases the quality of neural imaging in adult fruit flies.

 
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Award ID(s):
1848029
NSF-PAR ID:
10198504
Author(s) / Creator(s):
; ; ; ; ; ; ; ; ; ;
Publisher / Repository:
Optical Society of America
Date Published:
Journal Name:
Optica
Volume:
7
Issue:
10
ISSN:
2334-2536
Page Range / eLocation ID:
Article No. 1457
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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