A Review of Super-Resolution Single-Molecule Localization Microscopy Cluster Analysis and Quantification Methods

Patterns
Ismail M KhaterGhassan Hamarneh

Abstract

Single-molecule localization microscopy (SMLM) is a relatively new imaging modality, winning the 2014 Nobel Prize in Chemistry, and considered as one of the key super-resolution techniques. SMLM resolution goes beyond the diffraction limit of light microscopy and achieves resolution on the order of 10-20 nm. SMLM thus enables imaging single molecules and study of the low-level molecular interactions at the subcellular level. In contrast to standard microscopy imaging that produces 2D pixel or 3D voxel grid data, SMLM generates big data of 2D or 3D point clouds with millions of localizations and associated uncertainties. This unprecedented breakthrough in imaging helps researchers employ SMLM in many fields within biology and medicine, such as studying cancerous cells and cell-mediated immunity and accelerating drug discovery. However, SMLM data quantification and interpretation methods have yet to keep pace with the rapid advancement of SMLM imaging. Researchers have been actively exploring new computational methods for SMLM data analysis to extract biosignatures of various biological structures and functions. In this survey, we describe the state-of-the-art clustering methods adopted to analyze and quantify SMLM data and exami...Continue Reading

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Methods Mentioned

BETA
light microscopy
super-resolution microscopy
super-resolution
imaging technique
fluorescence microscopy
imaging techniques
electron microscopy
imaging

Software Mentioned

MATLAB func
MINFLUX
STORM
FOCAL3D
SMeagol
iPALM
TestSTORM
PAINT
DBSCAN
QuickPALM

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