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Latest version: v2024.11

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2024.08

2020.06

Added

Stripe-Weighted Least squares penalty to remove ring artifacts
Mask initialisation to apply circular masking to the reconstructed image/VOLUME
An option to provide variable CoRs values in order to fix the problem of misalignment for 2D and 3D case
Additional real data demo to reconstruct macrocrystallographic data
Various bug fixes

2020.01

Added

Kullback-Leibler term has been added according to C.Vogel p.174
Demos has been updated to use KL term

2019.12

Changed

Due to model-based structure of algorithms, the amount of parameters constantly increases. It has been decided to re-structure class function and make it simpler to operate. See demos for examples.
Added extensive HELP, one can use - help(RecToolsIR) or help(RecToolsDIR) to get information about parameters
Demos modified to adapt a new structure

2019.11

Added

RING_WEIGHTS module in C which calculates a better ring model to use in non-quadratic data penalties
Cmake and Cython wrappers
run.sh to run Cmake based installation of Python wrappers

Changed

Installation process to use Cmake and Cython to wrap Python modules
Demos and conda-build files moved to the main directory

2019.08

Added

Autocropper to automatically crop the 3D projection data to reduce its size

Changed

normalisation script has been optimised

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