Quantitative analysis of super-resolved structures using ASAP.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 31263253.
- Also identified by DOI 10.1038/s41592-019-0472-1 and PMC identifier 6675600.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
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.
Medical subject headings
- Endosomes
- Mechanistic Target of Rapamycin Complex 1
- Microscopy, Fluorescence
- Molecular Imaging
- Nuclear Pore Complex Proteins
- Transport Vesicles
- bcl-2-Associated X Protein