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Tike is a toolbox for tomographic reconstruction of 3D objects from ptychography data.

The aim of Tike is to provide fast and accurate implementations of a wide variety of reconstruction algorithms, and to provide a common platform for the synchrotron research community.


  • Simulation of scanning geometries

  • 3D object reconstruction from ptychography data

  • Algorithms for imaging thick objects

Key Concepts

The key concepts of the Tike code structure are the following:

  1. Solvers are based on forward and adjoint operators

  2. Solvers are organized into modules based on problem-type

Solvers share fundamental operators

An operator is a transforms data from one space to another. For example, the tomography forward operator is the radon transform; it maps a 2D Cartesian space to the sinogram space. The adjoint operator maps data from sinogram space back to 2D Cartesian. All iterative solvers of a problem use forward and adjoint, so we avoid code duplication by implementing all solvers in terms of forward and adjoint operators to reduce code duplication to make future-upgrades easier.

Modules by problem type

The solvers for each problem-type (ptychography, tomography, etc) are separated into modules of their respective names.