SMoLR

SMoLR analyzes single-molecule localization microscopy (SMLM) data to extract quantitative localization information and visualize nanoscale molecular organization.

Key Features:

• Flexible Framework: Implemented as an R package for analysis of single-molecule localization microscopy (SMLM) data.
• Quantitative Data Extraction: Extracts quantitative information from super-resolution localization datasets and supports analysis of individual images and large image sets.
• Visualization Capabilities: Visualizes distributions and localizations of molecules within nanoscale subcellular structures.
• Statistical Analysis: Performs statistical analysis of spatial distributions, including assessment of density and arrangement of molecular localizations.
• Image Feature-Based Particle Averaging: Implements image feature–based particle averaging to identify common features among nanoscale structures.

Scientific Applications:

• Protein–Protein Interaction Analysis: Enables investigation of protein–protein interactions at single-molecule resolution.
• Spatial Distribution of Signaling Molecules: Allows analysis of the spatial distribution of signaling molecules within cellular compartments.
• Structural Dynamics Studies: Supports studying structural dynamics of biomolecular assemblies in response to stimuli or different conditions.

Methodology:

Implemented as an R package, SMoLR performs quantitative extraction from SMLM localizations, visualization of nanoscale structures, statistical analysis of spatial distributions, image feature–based particle averaging, and processing of individual images and large image sets.