=========================================================================== Tomosipo =========================================================================== .. rubric:: High-performance 3D tomography with flexible geometries in Python Tomosipo is a pythonic wrapper for the ASTRA-toolbox of high-performance GPU primitives for 3D tomography. The aim of tomosipo is to: 1. Expose a user-friendly API for 3D tomography; 2. Enable easy manipulation and visualisation of 3D geometries; 3. Express high-performance GPU-accelerated algorithms succinctly. First steps =========== Are you new to tomosipo? This is the place to start! * **From scratch:** :doc:`Installation ` * **Tutorials:** :doc:`intro/forward_projection` | :doc:`intro/simple_reconstruction` * **Advanced Tutorials:** :doc:`intro/fast_reconstruction` | :doc:`intro/lab_frame` How the documentation is organized ================================== Tomosipo has different types of documentation. A high-level overview of how it's organized will help you know where to look for certain things: * :doc:`Tutorials ` take you by the hand through a series of steps to create a tomographic reconstruction. Start here if you're new to tomosipo or tomography. * :doc:`Topic guides ` discuss key topics and concepts at a fairly high level and provide useful background information and explanation. * :doc:`Reference guides ` serve as technical reference for APIs and other aspects of tomosipo's machinery. * :doc:`How-to guides ` are recipes. They guide you through the steps involved in addressing key problems and use-cases. They are more goal-oriented than tutorials and assume some knowledge of how tomosipo works. Other resources =============== Video ----- * `CWI Tomosipo Tutorial (21-Jun-2021) `_ Blog ---- * `Modeling Cryo-EM using tomosipo `_ * `Chambolle-Pock algorithm on the GPU using tomosipo `_ * `Tomosipo reconstruction the GPU `_