The Graphical Reconstruction Manager is a PyQT application for launching CT reconstructions on the computing cluster at the TOMCAT beamline. One can (i) interactively tweak all kinds of CT reconstruction (and filtering) settings and (ii) save/load those settings in order to reproduce full 3D volumetric data from raw tomographic projections. It works w/o problems in the SLS/TOMCAT computer infrastructure, but the next goal is to add the possibility of using the TomoPy backend. A very similar (and probably more mature) project is Xi-cam, which is developed at ALS.

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This repository should soon include most of the scripts I’ve developed and/or have been using recently. Currently those are scattered around different machines (at home/work) and accounts, but they should all eventually end up here. Below are just two links for now.

LaTeX stuff Python scripts


The quantitative 3D lung image tools originate form Lovric et al. [PLoS ONE 12 (9), e0183979 (2017),] and can be used for a unique morphological and topological characterization of high-resolution lung image datasets. The package contains both the tools to reproduce the paper’s results as well as some scripts to verify the performance of the algorithms.

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Source size calculator

The following package contains the source size calculation tools introduced in Lovric et al. [Opt. Express 22, 2745 (2014),]. Those can be used to do all sorts of wave-optical simulations within the Fresnel optical regime, as for instance the simulation of the Talbot effect or use of a common grating interferometer.

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