Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Danial, John S. H., Garcia-Saez, Ana-J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
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
_version_ 1783440643053322240
author Danial, John S. H.
Garcia-Saez, Ana-J.
author_facet Danial, John S. H.
Garcia-Saez, Ana-J.
author_sort Danial, John S. H.
collection PubMed
description 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.
format Online
Article
Text
id pubmed-6675600
institution National Center for Biotechnology Information
language English
publishDate 2019
record_format MEDLINE/PubMed
spelling pubmed-66756002020-01-01 Quantitative analysis of super-resolved structures using ASAP Danial, John S. H. Garcia-Saez, Ana-J. Nat Methods Article 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. 2019-06-07 2019-07-01 /pmc/articles/PMC6675600/ /pubmed/31263253 http://dx.doi.org/10.1038/s41592-019-0472-1 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Danial, John S. H.
Garcia-Saez, Ana-J.
Quantitative analysis of super-resolved structures using ASAP
title Quantitative analysis of super-resolved structures using ASAP
title_full Quantitative analysis of super-resolved structures using ASAP
title_fullStr Quantitative analysis of super-resolved structures using ASAP
title_full_unstemmed Quantitative analysis of super-resolved structures using ASAP
title_short Quantitative analysis of super-resolved structures using ASAP
title_sort quantitative analysis of super-resolved structures using asap
topic Article
url 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
work_keys_str_mv AT danialjohnsh quantitativeanalysisofsuperresolvedstructuresusingasap
AT garciasaezanaj quantitativeanalysisofsuperresolvedstructuresusingasap