Fast and robust drift correction for single-molecule localization microscopy.

ABSTRACT: Owing to its gradual accumulation of molecular positions, single-molecule localization microscopy (SMLM) depends on the proper correction of sample drifts that occur during data acquisition. However, current data-based drift-correction approaches for SMLM are often unreliable and time-consuming, limiting the achieved resolution and throughput. Here we report nearest paired cloud (NP-Cloud), a fast and robust SMLM drift-correction method. By pairing the nearest molecules in SMLM data segments and calculating their displacements within a small search radius, NP-Cloud efficiently utilizes the continuously valued positions of each super-localized molecule while drastically reducing the computational cost. With both simulated and experimental SMLM data, we thus demonstrate substantially improve

SUBMITTER: Hou M 

PROVIDER: S-EPMC12514242 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature