Non-heuristic automatic techniques for overcoming low signal-to-noise-ratio bias of localization microscopy and multiple signal classification algorithm

Localization microscopy and multiple signal classification algorithm use temporal stack of image frames of sparse emissions from fluorophores to provide super-resolution images. Localization microscopy localizes emissions in each image independently and later collates the localizations in all the fr...

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Detalles Bibliográficos
Autores principales: Agarwal, Krishna, Macháň, Radek, Prasad, Dilip K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5862973/
https://www.ncbi.nlm.nih.gov/pubmed/29563529
http://dx.doi.org/10.1038/s41598-018-23374-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5862973/
https://www.ncbi.nlm.nih.gov/pubmed/29563529
http://dx.doi.org/10.1038/s41598-018-23374-7

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