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Quantitative analysis of super-resolved structures using ASAP.

ABSTRACT: Super-resolution microscopy allows imaging of cellular structures with high throughput and detail. However, the efficient and quantitative analysis of images generated is challenging with existing tools. Here, we develop 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.

SUBMITTER: Danial JSH

PROVIDER: S-EPMC6675600 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Quantitative analysis of super-resolved structures using ASAP.

Danial John S H JSH Garcia-Saez Ana J AJ

Nature methods 20190701 8

Super-resolution microscopy allows imaging of cellular structures with high throughput and detail. However, the efficient and quantitative analysis of images generated is challenging with existing tools. Here, we develop 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 complexe ...[more]

PMID: 31263253

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