PySTACHIO

PySTACHIO analyzes single-molecule fluorescence microscopy data to extract single-reporter dye fluorescence intensities, estimate molecular stoichiometry and cellular copy numbers, compute 2D diffusion coefficients, perform 2-color colocalization by overlap integration, and simulate data for benchmarking analysis methods.

Key Features:

• Single-dye intensity extraction: Extracts fluorescence intensity values from single reporter dye molecules for downstream quantification.
• Stoichiometry and copy-number estimation: Estimates molecular stoichiometries and cellular copy numbers of fluorescently labeled biomolecules from intensity measurements.
• 2D diffusion coefficient calculation: Computes 2D diffusion coefficients for short-duration single-particle tracking data.
• 2-color colocalization (overlap integration): Performs colocalization analysis between differently labeled channels using overlap integration.
• Data simulation routines: Simulates single-molecule microscopy data to benchmark and compare analysis programs.
• Optimized computational performance: Provides computational optimizations to process large camera pixel arrays efficiently on standard workstations.
• Benchmarking against MATLAB implementations: Includes performance comparisons demonstrating operation at speeds reported to be roughly an order of magnitude faster than prior MATLAB-based methods.

Scientific Applications:

• Molecular stoichiometry measurement: Quantifies the number of fluorescently labeled molecules within molecular complexes.
• Cellular copy-number quantification: Estimates cellular copy numbers of fluorescently labeled biomolecules.
• Single-particle tracking and diffusion analysis: Characterizes 2D diffusion behavior from short-duration tracking experiments.
• Colocalization-based interaction inference: Infers interactions between differently labeled biomolecules via 2-color overlap analysis.
• Benchmarking of analysis methods: Uses simulated data to compare and validate different single-molecule analysis programs.

Methodology:

Computational steps explicitly include extraction of single-reporter dye fluorescence intensities, estimation of molecular stoichiometry and cellular copy numbers from intensities, calculation of 2D diffusion coefficients for short single-particle tracks, 2-color colocalization via overlap integration, data simulation routines for benchmarking, and performance benchmarking against MATLAB implementations.