Super-resolved trajectory-derived nanoclustering analysis using spatiotemporal indexing.

ABSTRACT: Single-molecule localization microscopy techniques are emerging as vital tools to unravel the nanoscale world of living cells by understanding the spatiotemporal organization of protein clusters at the nanometer scale. Current analyses define spatial nanoclusters based on detections but neglect important temporal information such as cluster lifetime and recurrence in "hotspots" on the plasma membrane. Spatial indexing is widely used in video games to detect interactions between moving geometric objects. Here, we use the R-tree spatial indexing algorithm to determine the overlap of the bounding boxes of individual molecular trajectories to establish membership in nanoclusters. Extending the spatial indexing into the time dimension allows the resolution of spatial nanoclusters into multiple

SUBMITTER: Wallis TP 

PROVIDER: S-EPMC10250379 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature