TestSTORM

TestSTORM simulates the imaging process of optical fluorescence localization microscopes to generate realistic datasets for optimizing and evaluating localization-based super-resolution microscopy.

Key Features:

• Advanced physical models: Incorporates scalar and vector-based point spread functions (PSFs), polarization-sensitive detection, drift compensation, spectral crosstalk correction, and structured background modeling to mimic real imaging conditions.
• Generation of test data stacks: Produces realistic image stacks that include imaging artifacts and noise for systematic evaluation of imaging parameters and algorithms.
• Interpretation of super-resolved images: Enables simulation of complex imaging scenarios to help distinguish genuine biological structures from imaging artifacts.
• MathWorks MATLAB implementation: Implemented within the MathWorks MATLAB computational environment.

Scientific Applications:

• Optimization of experimental conditions: Simulates varied imaging scenarios to assess impacts on image quality in localization-based super-resolution microscopy.
• Algorithm development and validation: Tests and refines data processing and localization algorithms using simulated datasets containing realistic noise, drift, spectral crosstalk, and background artifacts.
• Researcher training: Provides simulations of single isolated fluorescent-molecule imaging to train researchers in complex imaging phenomena.

Methodology:

Integration of advanced physical models (scalar and vector PSFs, polarization-sensitive detection, drift compensation, spectral crosstalk correction, structured background) within a MATLAB computational framework to generate realistic test data stacks.