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Finding a Needle in a Haystack: Identification of EGFP Tagged Neurons during Calcium Imaging by Means of Two-Photon Spectral Separation

The combination of two-photon in vivo imaging and genetic labeling of specific cell types in the mouse brain is a powerful method to refine our understanding of brain circuitry and to dissect the contribution of specific neural classes to cortical function. The synthetic calcium indicators are the b...

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Autores principales: Brondi, Marco, Sato, Sebastian Sulis, Rossi, Luigi Federico, Ferrara, Silvia, Ratto, Gian Michele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3482699/
https://www.ncbi.nlm.nih.gov/pubmed/23112759
http://dx.doi.org/10.3389/fnmol.2012.00096
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author Brondi, Marco
Sato, Sebastian Sulis
Rossi, Luigi Federico
Ferrara, Silvia
Ratto, Gian Michele
author_facet Brondi, Marco
Sato, Sebastian Sulis
Rossi, Luigi Federico
Ferrara, Silvia
Ratto, Gian Michele
author_sort Brondi, Marco
collection PubMed
description The combination of two-photon in vivo imaging and genetic labeling of specific cell types in the mouse brain is a powerful method to refine our understanding of brain circuitry and to dissect the contribution of specific neural classes to cortical function. The synthetic calcium indicators are the best fluorescent reporters for cellular activity that are presently available but their spectral proprieties are often overlapped with those of the fluorescent proteins used for genetic labeling. Such is the case of Oregon Green BAPTA1 and EGFP, the most widely used fluorophores for targeted two-photon imaging. The emission spectra of these molecules are virtually identical, precluding their separation by narrow band filters at the detector side. However, even if their one photon excitation spectra are very similar, their two-photon excitation spectra differ significantly: here we show how it is possible to exploit this difference to separate the relative contributions of EGFP and Oregon Green to the total fluorescence signal. This approach addresses two different issues: the unbiased detection of cells expressing EGFP in a cortical volume injected with Oregon Green, and the computation of the Ca(2+) insensitive fluorescence background. The latter data is essential for the quantitative comparison of the relative changes in Ca(2+) concentration between different cells, containing variable concentrations of EGFP. This strategy can be easily extended to any couple of fluorophores provided that have a different two-photon excitation spectra.
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spelling pubmed-34826992012-10-30 Finding a Needle in a Haystack: Identification of EGFP Tagged Neurons during Calcium Imaging by Means of Two-Photon Spectral Separation Brondi, Marco Sato, Sebastian Sulis Rossi, Luigi Federico Ferrara, Silvia Ratto, Gian Michele Front Mol Neurosci Neuroscience The combination of two-photon in vivo imaging and genetic labeling of specific cell types in the mouse brain is a powerful method to refine our understanding of brain circuitry and to dissect the contribution of specific neural classes to cortical function. The synthetic calcium indicators are the best fluorescent reporters for cellular activity that are presently available but their spectral proprieties are often overlapped with those of the fluorescent proteins used for genetic labeling. Such is the case of Oregon Green BAPTA1 and EGFP, the most widely used fluorophores for targeted two-photon imaging. The emission spectra of these molecules are virtually identical, precluding their separation by narrow band filters at the detector side. However, even if their one photon excitation spectra are very similar, their two-photon excitation spectra differ significantly: here we show how it is possible to exploit this difference to separate the relative contributions of EGFP and Oregon Green to the total fluorescence signal. This approach addresses two different issues: the unbiased detection of cells expressing EGFP in a cortical volume injected with Oregon Green, and the computation of the Ca(2+) insensitive fluorescence background. The latter data is essential for the quantitative comparison of the relative changes in Ca(2+) concentration between different cells, containing variable concentrations of EGFP. This strategy can be easily extended to any couple of fluorophores provided that have a different two-photon excitation spectra. Frontiers Media S.A. 2012-10-29 /pmc/articles/PMC3482699/ /pubmed/23112759 http://dx.doi.org/10.3389/fnmol.2012.00096 Text en Copyright © 2012 Brondi, Sato, Rossi, Ferrara and Ratto. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
spellingShingle Neuroscience
Brondi, Marco
Sato, Sebastian Sulis
Rossi, Luigi Federico
Ferrara, Silvia
Ratto, Gian Michele
Finding a Needle in a Haystack: Identification of EGFP Tagged Neurons during Calcium Imaging by Means of Two-Photon Spectral Separation
title Finding a Needle in a Haystack: Identification of EGFP Tagged Neurons during Calcium Imaging by Means of Two-Photon Spectral Separation
title_full Finding a Needle in a Haystack: Identification of EGFP Tagged Neurons during Calcium Imaging by Means of Two-Photon Spectral Separation
title_fullStr Finding a Needle in a Haystack: Identification of EGFP Tagged Neurons during Calcium Imaging by Means of Two-Photon Spectral Separation
title_full_unstemmed Finding a Needle in a Haystack: Identification of EGFP Tagged Neurons during Calcium Imaging by Means of Two-Photon Spectral Separation
title_short Finding a Needle in a Haystack: Identification of EGFP Tagged Neurons during Calcium Imaging by Means of Two-Photon Spectral Separation
title_sort finding a needle in a haystack: identification of egfp tagged neurons during calcium imaging by means of two-photon spectral separation
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3482699/
https://www.ncbi.nlm.nih.gov/pubmed/23112759
http://dx.doi.org/10.3389/fnmol.2012.00096
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