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Bessel Beam Illumination Reduces Random and Systematic Errors in Quantitative Functional Studies Using Light-Sheet Microscopy
Light-sheet microscopy (LSM), in combination with intrinsically transparent zebrafish larvae, is a method of choice to observe brain function with high frame rates at cellular resolution. Inherently to LSM, however, residual opaque objects cause stripe artifacts, which obscure features of interest a...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6158350/ https://www.ncbi.nlm.nih.gov/pubmed/30294262 http://dx.doi.org/10.3389/fncel.2018.00315 |
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author | Müllenbroich, M. Caroline Turrini, Lapo Silvestri, Ludovico Alterini, Tommaso Gheisari, Ali Tiso, Natascia Vanzi, Francesco Sacconi, Leonardo Pavone, Francesco S. |
author_facet | Müllenbroich, M. Caroline Turrini, Lapo Silvestri, Ludovico Alterini, Tommaso Gheisari, Ali Tiso, Natascia Vanzi, Francesco Sacconi, Leonardo Pavone, Francesco S. |
author_sort | Müllenbroich, M. Caroline |
collection | PubMed |
description | Light-sheet microscopy (LSM), in combination with intrinsically transparent zebrafish larvae, is a method of choice to observe brain function with high frame rates at cellular resolution. Inherently to LSM, however, residual opaque objects cause stripe artifacts, which obscure features of interest and, during functional imaging, modulate fluorescence variations related to neuronal activity. Here, we report how Bessel beams reduce streaking artifacts and produce high-fidelity quantitative data demonstrating a fivefold increase in sensitivity to calcium transients and a 20-fold increase in accuracy in the detection of activity correlations in functional imaging. Furthermore, using principal component analysis, we show that measurements obtained with Bessel beams are clean enough to reveal in one-shot experiments correlations that can not be averaged over trials after stimuli as is the case when studying spontaneous activity. Our results not only demonstrate the contamination of data by systematic and random errors through conventional Gaussian illumination and but,furthermore, quantify the increase in fidelity of such data when using Bessel beams. |
format | Online Article Text |
id | pubmed-6158350 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-61583502018-10-05 Bessel Beam Illumination Reduces Random and Systematic Errors in Quantitative Functional Studies Using Light-Sheet Microscopy Müllenbroich, M. Caroline Turrini, Lapo Silvestri, Ludovico Alterini, Tommaso Gheisari, Ali Tiso, Natascia Vanzi, Francesco Sacconi, Leonardo Pavone, Francesco S. Front Cell Neurosci Neuroscience Light-sheet microscopy (LSM), in combination with intrinsically transparent zebrafish larvae, is a method of choice to observe brain function with high frame rates at cellular resolution. Inherently to LSM, however, residual opaque objects cause stripe artifacts, which obscure features of interest and, during functional imaging, modulate fluorescence variations related to neuronal activity. Here, we report how Bessel beams reduce streaking artifacts and produce high-fidelity quantitative data demonstrating a fivefold increase in sensitivity to calcium transients and a 20-fold increase in accuracy in the detection of activity correlations in functional imaging. Furthermore, using principal component analysis, we show that measurements obtained with Bessel beams are clean enough to reveal in one-shot experiments correlations that can not be averaged over trials after stimuli as is the case when studying spontaneous activity. Our results not only demonstrate the contamination of data by systematic and random errors through conventional Gaussian illumination and but,furthermore, quantify the increase in fidelity of such data when using Bessel beams. Frontiers Media S.A. 2018-09-20 /pmc/articles/PMC6158350/ /pubmed/30294262 http://dx.doi.org/10.3389/fncel.2018.00315 Text en Copyright © 2018 Müllenbroich, Turrini, Silvestri, Alterini, Gheisari, Vanzi, Sacconi and Pavone. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Müllenbroich, M. Caroline Turrini, Lapo Silvestri, Ludovico Alterini, Tommaso Gheisari, Ali Tiso, Natascia Vanzi, Francesco Sacconi, Leonardo Pavone, Francesco S. Bessel Beam Illumination Reduces Random and Systematic Errors in Quantitative Functional Studies Using Light-Sheet Microscopy |
title | Bessel Beam Illumination Reduces Random and Systematic Errors in Quantitative Functional Studies Using Light-Sheet Microscopy |
title_full | Bessel Beam Illumination Reduces Random and Systematic Errors in Quantitative Functional Studies Using Light-Sheet Microscopy |
title_fullStr | Bessel Beam Illumination Reduces Random and Systematic Errors in Quantitative Functional Studies Using Light-Sheet Microscopy |
title_full_unstemmed | Bessel Beam Illumination Reduces Random and Systematic Errors in Quantitative Functional Studies Using Light-Sheet Microscopy |
title_short | Bessel Beam Illumination Reduces Random and Systematic Errors in Quantitative Functional Studies Using Light-Sheet Microscopy |
title_sort | bessel beam illumination reduces random and systematic errors in quantitative functional studies using light-sheet microscopy |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6158350/ https://www.ncbi.nlm.nih.gov/pubmed/30294262 http://dx.doi.org/10.3389/fncel.2018.00315 |
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