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Quantitative comparison of spinning disk geometries for PAINT based super-resolution microscopy

PAINT methods that use DNA- or protein- based exchangeable probes have become popular for super-resolution imaging and have been combined with spinning disk confocal microscopy for imaging thicker samples. However, the widely available spinning disks used for routine biological imaging are not optim...

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Detalles Bibliográficos
Autores principales: Sirinakis, George, Allgeyer, Edward S., Cheng, Jinmei, St Johnston, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Optica Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352288/
https://www.ncbi.nlm.nih.gov/pubmed/35991926
http://dx.doi.org/10.1364/BOE.459490
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author Sirinakis, George
Allgeyer, Edward S.
Cheng, Jinmei
St Johnston, Daniel
author_facet Sirinakis, George
Allgeyer, Edward S.
Cheng, Jinmei
St Johnston, Daniel
author_sort Sirinakis, George
collection PubMed
description PAINT methods that use DNA- or protein- based exchangeable probes have become popular for super-resolution imaging and have been combined with spinning disk confocal microscopy for imaging thicker samples. However, the widely available spinning disks used for routine biological imaging are not optimized for PAINT-based applications and may compromise resolution and imaging speed. Here, we use Drosophila egg chambers in the presence of the actin-binding peptide Lifeact to study the performance of four different spinning disk geometries. We find that disk geometries with higher light collection efficiency perform better for PAINT-based super-resolution imaging due to increased photon numbers and, subsequently, detection of more blinking events.
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spelling pubmed-93522882022-08-18 Quantitative comparison of spinning disk geometries for PAINT based super-resolution microscopy Sirinakis, George Allgeyer, Edward S. Cheng, Jinmei St Johnston, Daniel Biomed Opt Express Article PAINT methods that use DNA- or protein- based exchangeable probes have become popular for super-resolution imaging and have been combined with spinning disk confocal microscopy for imaging thicker samples. However, the widely available spinning disks used for routine biological imaging are not optimized for PAINT-based applications and may compromise resolution and imaging speed. Here, we use Drosophila egg chambers in the presence of the actin-binding peptide Lifeact to study the performance of four different spinning disk geometries. We find that disk geometries with higher light collection efficiency perform better for PAINT-based super-resolution imaging due to increased photon numbers and, subsequently, detection of more blinking events. Optica Publishing Group 2022-06-07 /pmc/articles/PMC9352288/ /pubmed/35991926 http://dx.doi.org/10.1364/BOE.459490 Text en Published by Optica Publishing Group under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Sirinakis, George
Allgeyer, Edward S.
Cheng, Jinmei
St Johnston, Daniel
Quantitative comparison of spinning disk geometries for PAINT based super-resolution microscopy
title Quantitative comparison of spinning disk geometries for PAINT based super-resolution microscopy
title_full Quantitative comparison of spinning disk geometries for PAINT based super-resolution microscopy
title_fullStr Quantitative comparison of spinning disk geometries for PAINT based super-resolution microscopy
title_full_unstemmed Quantitative comparison of spinning disk geometries for PAINT based super-resolution microscopy
title_short Quantitative comparison of spinning disk geometries for PAINT based super-resolution microscopy
title_sort quantitative comparison of spinning disk geometries for paint based super-resolution microscopy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352288/
https://www.ncbi.nlm.nih.gov/pubmed/35991926
http://dx.doi.org/10.1364/BOE.459490
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