Imaging neural events in zebrafish larvae with linear structured illumination light sheet fluorescence microscopy

Yang Liu; Savannah Dale; Rebecca Ball; Ariel J. VanLeuven; Andrew Sornborger; James D. Lauderdale; Peter Kner

doi:10.1117/1.NPh.6.1.015009

5 March 2019 Imaging neural events in zebrafish larvae with linear structured illumination light sheet fluorescence microscopy

Yang Liu, Savannah Dale, Rebecca Ball, Ariel J. VanLeuven, Andrew Sornborger, James D. Lauderdale, Peter Kner

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Neurophotonics, Vol. 6, Issue 1, 015009 (March 2019). https://doi.org/10.1117/1.NPh.6.1.015009

Abstract

Light sheet fluorescence microscopy (LSFM) is a powerful tool for investigating model organisms including zebrafish. However, due to scattering and refractive index variations within the sample, the resulting image often suffers from low contrast. Structured illumination (SI) has been combined with scanned LSFM to remove out-of-focus and scattered light using square-law detection. Here, we demonstrate that the combination of LSFM with linear reconstruction SI can further increase resolution and contrast in the vertical and axial directions compared to the widely adopted root-mean square reconstruction method while using the same input images. We apply this approach to imaging neural activity in 7-day postfertilization zebrafish larvae. We imaged two-dimensional sections of the zebrafish central nervous system in two colors at an effective frame rate of 7 frames per second.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Yang Liu, Savannah Dale, Rebecca Ball, Ariel J. VanLeuven, Andrew Sornborger, James D. Lauderdale, and Peter Kner "Imaging neural events in zebrafish larvae with linear structured illumination light sheet fluorescence microscopy," Neurophotonics 6(1), 015009 (5 March 2019). https://doi.org/10.1117/1.NPh.6.1.015009

Received: 24 October 2018; Accepted: 13 February 2019; Published: 5 March 2019

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