Quantitative analysis of super-resolved structures using ASAP

Super resolution microscopy allows imaging of cellular structures with high throughput and detail. However, tools for the efficient and quantitative analysis of images generated are lacking. Here, we developed ASAP (Automated Structures Analysis Program) to enable rapid and automated detection, clas...

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Detalles Bibliográficos
Autores principales: Danial, John S. H., Garcia-Saez, Ana-J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6675600/
https://www.ncbi.nlm.nih.gov/pubmed/31263253
http://dx.doi.org/10.1038/s41592-019-0472-1
Descripción
Sumario:Super resolution microscopy allows imaging of cellular structures with high throughput and detail. However, tools for the efficient and quantitative analysis of images generated are lacking. Here, we developed ASAP (Automated Structures Analysis Program) to enable rapid and automated detection, classification and quantification of super-resolved structures. We validate ASAP on ground truth data and demonstrate its broad applicability by analyzing images of nucleoporins, TORC1 complexes, endocytic vesicles and Bax pores.

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