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:
Article
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
Descripción
Sumario: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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