Examples

This section contains Jupyter notebook examples demonstrating how to use nDTomo.

• Creation of Phantoms with nDTomo
• Simulating Pencil Beam CT Scans Using Various Acquisition Strategies
• Detector calibration and Integration of 2D powder diffraction patterns
• Impact of texture in 2D powder diffraction patterns
• Preprocessing and correcting sinograms
• Image Reconstruction from Sinograms
• Unsupervised Learning for Chemical Tomography: Synthetic XRD-CT Case Study
• Peak Fitting in Synthetic XRD-CT Datasets
• CNN-Based Peak Fitting in Synthetic XRD-CT Datasets
• Direct Least Squares Reconstruction (DLSR) for XRD-CT Using PyTorch
• Differentiable Image Alignment & Registration