Joint registration of multiple point clouds for fast particle fusion in localization microscopy.

ABSTRACT:

Summary

We present a fast particle fusion method for particles imaged with single-molecule localization microscopy. The state-of-the-art approach based on all-to-all registration has proven to work well but its computational cost scales unfavorably with the number of particles N, namely as N2. Our method overcomes this problem and achieves a linear scaling of computational cost with N by making use of the Joint Registration of Multiple Point Clouds (JRMPC) method. Straightforward application of JRMPC fails as mostly locally optimal solutions are found. These usually contain several overlapping clusters that each consist of well-aligned particles, but that have different poses. We solve this issue by repeated runs of JRMPC for different initial conditions, followed by a classificati

SUBMITTER: Wang W 

PROVIDER: S-EPMC9191212 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature