ThunderSTORM

ThunderSTORM provides automated processing, analysis, and visualization of single-molecule localization microscopy data from photo-activated localization microscopy (PALM) and stochastic optical reconstruction microscopy (STORM) to support localization and algorithm performance assessment.

Key Features:

• Automated processing and analysis: Performs automated processing, analysis, and visualization of single-molecule localization microscopy data.
• Technique support: Explicitly supports photo-activated localization microscopy (PALM) and stochastic optical reconstruction microscopy (STORM) datasets.
• Modular processing pipeline: Provides a modular architecture enabling tailoring of analytical workflows to specific datasets.
• Processing and post-processing methods: Includes a comprehensive suite of processing and post-processing methods for localization microscopy data.
• Simulated dataset generation: Generates simulated datasets for testing and validation of localization algorithms.
• Monte Carlo simulations: Incorporates Monte Carlo simulations for quantitative evaluation of localization algorithms.

Scientific Applications:

• Super-resolution microscopy data analysis: Analysis and visualization of single-molecule localization microscopy data from PALM and STORM experiments.
• Algorithm validation and benchmarking: Testing and validation of localization algorithms using simulated datasets.
• Quantitative performance assessment: Quantitative evaluation of localization accuracy and reliability via Monte Carlo simulations.

Methodology:

Automated processing and post-processing of localization microscopy data, generation of simulated datasets, and Monte Carlo simulations for quantitative evaluation of localization algorithms.