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ABSTRACT: Background
Stochastic optical reconstruction microscopy (STORM), a super-resolution microscopy technique based on single-molecule localizations, has become popular to characterize sub-diffraction limit targets. However, due to lengthy image acquisition, STORM recordings are prone to sample drift. Existing cross-correlation or fiducial marker-based algorithms allow correcting the drift within each channel, but misalignment between channels remains due to interchannel drift accumulating during sequential channel acquisition. This is a major drawback in multi-color STORM, a technique of utmost importance for the characterization of various biological interactions.Results
We developed RegiSTORM, a software for reducing channel misalignment by accurately registering STORM channe
SUBMITTER: Ovrebo O
PROVIDER: S-EPMC10242778 | biostudies-literature | 2023 Jun
REPOSITORIES: biostudies-literature