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SIMcheck: a Toolbox for Successful Super-resolution Structured Illumination Microscopy

Three-dimensional structured illumination microscopy (3D-SIM) is a versatile and accessible method for super-resolution fluorescence imaging, but generating high-quality data is challenging, particularly for non-specialist users. We present SIMcheck, a suite of ImageJ plugins enabling users to ident...

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Detalles Bibliográficos
Autores principales: Ball, Graeme, Demmerle, Justin, Kaufmann, Rainer, Davis, Ilan, Dobbie, Ian M., Schermelleh, Lothar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4648340/
https://www.ncbi.nlm.nih.gov/pubmed/26525406
http://dx.doi.org/10.1038/srep15915
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author Ball, Graeme
Demmerle, Justin
Kaufmann, Rainer
Davis, Ilan
Dobbie, Ian M.
Schermelleh, Lothar
author_facet Ball, Graeme
Demmerle, Justin
Kaufmann, Rainer
Davis, Ilan
Dobbie, Ian M.
Schermelleh, Lothar
author_sort Ball, Graeme
collection PubMed
description Three-dimensional structured illumination microscopy (3D-SIM) is a versatile and accessible method for super-resolution fluorescence imaging, but generating high-quality data is challenging, particularly for non-specialist users. We present SIMcheck, a suite of ImageJ plugins enabling users to identify and avoid common problems with 3D-SIM data, and assess resolution and data quality through objective control parameters. Additionally, SIMcheck provides advanced calibration tools and utilities for common image processing tasks. This open-source software is applicable to all commercial and custom platforms, and will promote routine application of super-resolution SIM imaging in cell biology.
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spelling pubmed-46483402015-11-23 SIMcheck: a Toolbox for Successful Super-resolution Structured Illumination Microscopy Ball, Graeme Demmerle, Justin Kaufmann, Rainer Davis, Ilan Dobbie, Ian M. Schermelleh, Lothar Sci Rep Article Three-dimensional structured illumination microscopy (3D-SIM) is a versatile and accessible method for super-resolution fluorescence imaging, but generating high-quality data is challenging, particularly for non-specialist users. We present SIMcheck, a suite of ImageJ plugins enabling users to identify and avoid common problems with 3D-SIM data, and assess resolution and data quality through objective control parameters. Additionally, SIMcheck provides advanced calibration tools and utilities for common image processing tasks. This open-source software is applicable to all commercial and custom platforms, and will promote routine application of super-resolution SIM imaging in cell biology. Nature Publishing Group 2015-11-03 /pmc/articles/PMC4648340/ /pubmed/26525406 http://dx.doi.org/10.1038/srep15915 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Ball, Graeme
Demmerle, Justin
Kaufmann, Rainer
Davis, Ilan
Dobbie, Ian M.
Schermelleh, Lothar
SIMcheck: a Toolbox for Successful Super-resolution Structured Illumination Microscopy
title SIMcheck: a Toolbox for Successful Super-resolution Structured Illumination Microscopy
title_full SIMcheck: a Toolbox for Successful Super-resolution Structured Illumination Microscopy
title_fullStr SIMcheck: a Toolbox for Successful Super-resolution Structured Illumination Microscopy
title_full_unstemmed SIMcheck: a Toolbox for Successful Super-resolution Structured Illumination Microscopy
title_short SIMcheck: a Toolbox for Successful Super-resolution Structured Illumination Microscopy
title_sort simcheck: a toolbox for successful super-resolution structured illumination microscopy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4648340/
https://www.ncbi.nlm.nih.gov/pubmed/26525406
http://dx.doi.org/10.1038/srep15915
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