SIMToolbox

SIMToolbox processes two-dimensional and three-dimensional structured illumination microscopy (SIM) datasets in MATLAB to reconstruct images for optical sectioning and super-resolution applications.

Key Features:

• MATLAB implementation: Provides modular MATLAB functions for processing SIM datasets.
• 2D and 3D SIM support: Supports reconstruction of both two-dimensional and three-dimensional SIM image stacks.
• Optical sectioning and super-resolution: Implements algorithms for optical sectioning and achieving super-resolution image reconstruction.
• Maximum A Posteriori Probability Image Estimation (MAP-SIM): Includes MAP-SIM reconstruction to reduce common SIM artifacts.
• Artifact mitigation: Addresses artifacts arising from refractive index mismatches and illumination pattern imperfections.

Scientific Applications:

• Super-resolution cellular imaging: Reconstruction of SIM data for imaging cellular structures at enhanced spatial resolution.
• Optical sectioning of thick specimens: Application of optical sectioning reconstructions to separate in-focus signal from out-of-focus background in volumetric samples.
• Artifact-reduced quantitative analysis: Use of MAP-SIM and related reconstructions to produce artifact-reduced images for more reliable quantitative interpretation.

Methodology:

Modular MATLAB functions implement reconstruction algorithms, including Maximum A Posteriori Probability Image Estimation (MAP-SIM), to process 2D and 3D SIM datasets and mitigate artifacts from refractive index mismatches and illumination pattern imperfections.