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.
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The data that support the findings of this study are available from the corresponding authors upon request.
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We would like to thank C. Sieben and S. Manley (Ecole polytechnique fédérale de Lausanne, EPFL) for providing super-resolved images of TORC1, M. Mund and J. Ries (European Molecular Biology Laboratory, EMBL) for data sets of proteins involved in clathrin-mediated endocytosis and useful discussions, R. Salvador-Gallego (University of Colorado Boulder) for helpful discussions on the data sets of the apoptotic protein Bax, and S. Alexander and J. Ellenberg (EMBL) for super-resolved images of nucleoporins. We acknowledge a Max Planck Society (Max-Planck-Gesellschaft) postdoctoral fellowship, awarded to J.S.H.D. This work was supported by Deutsche Forschungsgemeinschaft (DFG) grant GA164/3-1 and the European Research Council (ERC) starting grant 309966 awarded to A.J.G.S.
The authors declare no competing interests.
Peer review information: Rita Strack was the primary editor on this article and managed its editorial process and peer review in collaboration with the rest of the editorial team.
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Supplementary Notes 1–7
ASAP v1.0 Software
User manual, description of parameters, errors and warnings messages syntax, automation script syntax, methodology and workflow.
User manual examples, description of parameters examples and automation script examples.
Supplementary source data for figures within Supplementary Notes.
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Danial, J.S.H., Garcia-Saez, A.J. Quantitative analysis of super-resolved structures using ASAP. Nat Methods 16, 711–714 (2019). https://doi.org/10.1038/s41592-019-0472-1
Physical Biology (2020)
Nature Methods (2019)