ToMoBAR’s documentation

ToMoBAR (cite [CT2020], [SX2022]) is a Python library of direct and model-based regularised iterative reconstruction algorithms with a plug-and-play capability. ToMoBAR offers you a selection of various data models and regularisers resulting in complex objectives for tomographic reconstruction. ToMoBAR can operate in GPU device-to-device fashion on CuPy arrays therefore ensuring a better computational efficiency. With GPU device controlling API exposed it can also support multi-GPU parallel computing.

See more in About ToMoBAR or go directly to Installation Guide and try Demos.

Introduction

• About ToMoBAR
  • The general concept:
  • What ToMoBAR can do:
• Dependencies
• References

How To's

• Installation Guide
  • Python
  • Matlab
• Using ToMoBAR

Tutorials

• Direct reconstruction
• Basic iterative reconstruction
• Regularised iterative reconstruction
• Synthethic data reconstruction
• Real data reconstruction

Reference guides

• API reference
  • ToMoBAR Modules