Processing libraries

HTTomo coordinates loading, processing and reconstruction methods supplied by scientific software libraries. A pipeline may combine methods from several backends.

Library	Processor	Choose it for	Notes
HTTomolibGPU	GPU	Accelerated preprocessing, artefact correction and reconstruction	Uses CuPy and CUDA; several reconstruction methods also use TomoBAR or ASTRA.
HTTomolib	CPU	CPU processing and image-output methods maintained for HTTomo	Useful in CPU pipelines and for output stages following GPU processing.
TomoPy	CPU	Established tomography preprocessing and reconstruction methods	CPU methods exposed through HTTomo can use local multithreading within each MPI process.

Only methods listed in Available methods have the metadata and YAML templates required for direct use in an HTTomo pipeline. Not every function in a backend library is exposed.

HTTomolibGPU

HTTomolibGPU is developed by the Data Analysis Group at Diamond Light Source for GPU-accelerated tomography. Its methods can be called independently, but HTTomo adds pipeline orchestration, block sizing, distributed I/O and GPU memory management. See Reconstruction ecosystem for the relationship between HTTomolibGPU, TomoBAR, ASTRA and CuPy.

HTTomolib

HTTomolib contains CPU methods maintained alongside HTTomo. It also supplies utilities such as rescaling and image writing that are commonly used at the end of both CPU and GPU pipelines.

TomoPy

TomoPy is an open-source tomography package from the wider imaging community. HTTomo exposes a selected set of its CPU preprocessing and reconstruction functions. HTTomo distributes data between MPI processes; TomoPy may also use CPU threads inside each process.

Adding another method or library

Processing-code integration belongs in the developer guide. See Adding a processing method for the complete method workflow and Integrating methods with httomo-backends for registering metadata after a method has been implemented.