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Super-resolved live-cell imaging using random illumination microscopy

Current super-resolution microscopy (SRM) methods suffer from an intrinsic complexity that might curtail their routine use in cell biology. We describe here random illumination microscopy (RIM) for live-cell imaging at super-resolutions matching that of 3D structured illumination microscopy, in a ro...

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Autores principales: Mangeat, Thomas, Labouesse, Simon, Allain, Marc, Negash, Awoke, Martin, Emmanuel, Guénolé, Aude, Poincloux, Renaud, Estibal, Claire, Bouissou, Anaïs, Cantaloube, Sylvain, Vega, Elodie, Li, Tong, Rouvière, Christian, Allart, Sophie, Keller, Debora, Debarnot, Valentin, Wang, Xia Bo, Michaux, Grégoire, Pinot, Mathieu, Le Borgne, Roland, Tournier, Sylvie, Suzanne, Magali, Idier, Jérome, Sentenac, Anne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017237/
https://www.ncbi.nlm.nih.gov/pubmed/35474693
http://dx.doi.org/10.1016/j.crmeth.2021.100009
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author Mangeat, Thomas
Labouesse, Simon
Allain, Marc
Negash, Awoke
Martin, Emmanuel
Guénolé, Aude
Poincloux, Renaud
Estibal, Claire
Bouissou, Anaïs
Cantaloube, Sylvain
Vega, Elodie
Li, Tong
Rouvière, Christian
Allart, Sophie
Keller, Debora
Debarnot, Valentin
Wang, Xia Bo
Michaux, Grégoire
Pinot, Mathieu
Le Borgne, Roland
Tournier, Sylvie
Suzanne, Magali
Idier, Jérome
Sentenac, Anne
author_facet Mangeat, Thomas
Labouesse, Simon
Allain, Marc
Negash, Awoke
Martin, Emmanuel
Guénolé, Aude
Poincloux, Renaud
Estibal, Claire
Bouissou, Anaïs
Cantaloube, Sylvain
Vega, Elodie
Li, Tong
Rouvière, Christian
Allart, Sophie
Keller, Debora
Debarnot, Valentin
Wang, Xia Bo
Michaux, Grégoire
Pinot, Mathieu
Le Borgne, Roland
Tournier, Sylvie
Suzanne, Magali
Idier, Jérome
Sentenac, Anne
author_sort Mangeat, Thomas
collection PubMed
description Current super-resolution microscopy (SRM) methods suffer from an intrinsic complexity that might curtail their routine use in cell biology. We describe here random illumination microscopy (RIM) for live-cell imaging at super-resolutions matching that of 3D structured illumination microscopy, in a robust fashion. Based on speckled illumination and statistical image reconstruction, easy to implement and user-friendly, RIM is unaffected by optical aberrations on the excitation side, linear to brightness, and compatible with multicolor live-cell imaging over extended periods of time. We illustrate the potential of RIM on diverse biological applications, from the mobility of proliferating cell nuclear antigen (PCNA) in U2OS cells and kinetochore dynamics in mitotic S. pombe cells to the 3D motion of myosin minifilaments deep inside Drosophila tissues. RIM's inherent simplicity and extended biological applicability, particularly for imaging at increased depths, could help make SRM accessible to biology laboratories.
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spelling pubmed-90172372022-04-25 Super-resolved live-cell imaging using random illumination microscopy Mangeat, Thomas Labouesse, Simon Allain, Marc Negash, Awoke Martin, Emmanuel Guénolé, Aude Poincloux, Renaud Estibal, Claire Bouissou, Anaïs Cantaloube, Sylvain Vega, Elodie Li, Tong Rouvière, Christian Allart, Sophie Keller, Debora Debarnot, Valentin Wang, Xia Bo Michaux, Grégoire Pinot, Mathieu Le Borgne, Roland Tournier, Sylvie Suzanne, Magali Idier, Jérome Sentenac, Anne Cell Rep Methods Article Current super-resolution microscopy (SRM) methods suffer from an intrinsic complexity that might curtail their routine use in cell biology. We describe here random illumination microscopy (RIM) for live-cell imaging at super-resolutions matching that of 3D structured illumination microscopy, in a robust fashion. Based on speckled illumination and statistical image reconstruction, easy to implement and user-friendly, RIM is unaffected by optical aberrations on the excitation side, linear to brightness, and compatible with multicolor live-cell imaging over extended periods of time. We illustrate the potential of RIM on diverse biological applications, from the mobility of proliferating cell nuclear antigen (PCNA) in U2OS cells and kinetochore dynamics in mitotic S. pombe cells to the 3D motion of myosin minifilaments deep inside Drosophila tissues. RIM's inherent simplicity and extended biological applicability, particularly for imaging at increased depths, could help make SRM accessible to biology laboratories. Elsevier 2021-04-30 /pmc/articles/PMC9017237/ /pubmed/35474693 http://dx.doi.org/10.1016/j.crmeth.2021.100009 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Mangeat, Thomas
Labouesse, Simon
Allain, Marc
Negash, Awoke
Martin, Emmanuel
Guénolé, Aude
Poincloux, Renaud
Estibal, Claire
Bouissou, Anaïs
Cantaloube, Sylvain
Vega, Elodie
Li, Tong
Rouvière, Christian
Allart, Sophie
Keller, Debora
Debarnot, Valentin
Wang, Xia Bo
Michaux, Grégoire
Pinot, Mathieu
Le Borgne, Roland
Tournier, Sylvie
Suzanne, Magali
Idier, Jérome
Sentenac, Anne
Super-resolved live-cell imaging using random illumination microscopy
title Super-resolved live-cell imaging using random illumination microscopy
title_full Super-resolved live-cell imaging using random illumination microscopy
title_fullStr Super-resolved live-cell imaging using random illumination microscopy
title_full_unstemmed Super-resolved live-cell imaging using random illumination microscopy
title_short Super-resolved live-cell imaging using random illumination microscopy
title_sort super-resolved live-cell imaging using random illumination microscopy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017237/
https://www.ncbi.nlm.nih.gov/pubmed/35474693
http://dx.doi.org/10.1016/j.crmeth.2021.100009
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