/MSM

MSM System Reconstruction

MSM

MSM System Reconstruction

This project is focused on the reconstruction of data acquired in the 3D Multi focal scanning microscope (MSM) system. The code comprises three main steps: mask calibration, data alignment, and the core reconstruction process. These steps are essential for generating accurate 3D images from the data.

Steps:

Step 1: Mask Calibration

This step generates calibration masks necessary for accurate data processing. Proper mask calibration is crucial to ensure reliable reconstruction.

Step 2: Data Alignment

Data alignment is a key component of the reconstruction process. This step offers two alignment options:

  • 1D Tracking: Use this method for data alignment.
  • Cross Correlation: Utilize cross-correlation for accurate alignment.

Step 3: Main Reconstruction

The main reconstruction process involves several important operations, including:

  • Pinholing
  • Scaling
  • Pixel Reassignment
  • Deconvolution

Usage:

  1. Ensure MATLAB is installed on your system.
  2. Open the provided MATLAB script for this code.
  3. Execute the script to run the reconstruction process.

Note:

  • This code may require additional libraries or MATLAB toolboxes, depending on the specific reconstruction techniques used.
  • Make sure to have the necessary calibration data ready before running the code.
  • Read and understand the code comments and documentation for customization according to your specific 3D MSM system and data.

References:

Please refer to relevant academic papers, documentation, or resources for a deeper understanding of the 3D MSM system and the reconstruction techniques used.

For questions or assistance, please contact Kidan Tadesse at ktadesse3@gatech.edu.