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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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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 |
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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 |