Raw Data to Results: A Hands-On Introduction and Overview of Computational Analysis for Single-Molecule Localization Microscopy

• DOI: 10.3389/fbinf.2021.817254
• Publication Date: 2022-02-01T07:19:36Z
• Authors: Koen J. A. Martens; Bartosz Turkowyd; Ulrike Endesfelder
• Keywords: Python; Computational model

Single-molecule localization microscopy (SMLM) is an advanced method that uses the blinking of fluorescent molecules to determine position these with a resolution below diffraction limit (∼5-40 nm). While SMLM imaging itself becoming more popular, computational analysis surrounding technique still specialized area and often remains "black box" for experimental researchers. Here, we provide introduction required imaging, post-processing typical data analysis. Importantly, user-friendly, ready-to-use well-documented code in Python MATLAB exemplary provided as interactive experience reader, well starting point further Our supplemented by descriptions problems their implementation. We discuss state art methods software suites used Finally, give outlook into challenges field.