使用 ASAP 进行超分辨结构的定量分析。

Interfaculty Institute of Biochemistry, University of Tübingen, Tübingen, Germany.

Max Planck Institute for Intelligent Systems, Stuttgart, Germany.

Nat Methods. 2019 Aug;16(8):711-714. doi: 10.1038/s41592-019-0472-1. Epub 2019 Jul 1.

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.

超分辨率显微镜可以实现高通量和高细节的细胞结构成像。然而，现有的工具在对生成的图像进行高效和定量分析方面具有挑战性。在这里，我们开发了 ASAP（自动化结构分析程序），以实现超分辨率结构的快速自动检测、分类和定量。我们在真实数据上验证了 ASAP，并通过分析核孔蛋白、TORC1 复合物、内吞小泡和 Bax 孔的图像证明了其广泛的适用性。