Mantid Imaging 2.3 has been released on 25 Feb 2022. Mantid Imaging is a graphical toolkit for processing neutron imaging and tomography data written in Python 3. It provides an easy-to-use graphical interface to a wide range of pre/post-processing operations, tilt correction and reconstruction algorithms, accommodating for tomography users with varying data complexity and image analysis background knowledge. It utilises a flexible plugin system that allows easy integration of external software and has allowed us to re-use software widely known in the neutron tomography community.
This release brings some significant new features:
Bad data indicators
Show pixel values that can cause issues during reconstruction, NaNs (not a number) caused by missing data or invalid maths operations and non-positive values caused by noise or issues with dark frame subtraction.
Beam hardening correction
Mantid Imaging now implements a linearization correction to compensate for the beam hardening effect.
Dataset side-bar
The main window now shows a tree-view of loaded datasets and their stacks. Internally Mantid Imaging now has a more structured view of the loaded data, which will allow further user interface improvements.
User interface improvements
The parameter controls in operations and reconstruction windows now have finer step sizes and better defaults. Auto preview in the reconstruction window can be disabled.
A full list of changes can be found at:
https://mantidproject.github.io/mantidimaging/release_notes/2.3.html
Installation instructions can be found at:
https://mantidproject.github.io/mantidimaging/installation.html
Source code:
https://github.com/mantidproject/mantidimaging
Sam Tygier
Science and Technology Facilities Council
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Hello,
We are proud to announce version 6.3.0 of Mantid is now available. Installation packages can be found on our download page<https://download.mantidproject.org/>. You can also access the source code on GitHub release page<https://github.com/mantidproject/mantid/releases/tag/v6.3.0>.
One particular aspect of this release we would like to highlight is that it is now possible to install a Python package, called mantid, that gives access to the Mantid algorithms and workspaces without bringing along the GUI. The package is available through the widely-used package manager Conda thereby making it easy to install mantid alongside other Python packages. Please see the Conda installation instructions<https://download.mantidproject.org/conda.html> for how to access the packages.
Please take a look at the release notes<https://docs.mantidproject.org/v6.3.0/release/v6.3.0/index.html>, which are filled with details of all of the changes and improvements in many other areas. The development team has put a great effort into making all of these improvements and we would like to thank all of our beta testers for their time and effort helping us to make this another reliable version. Thank you to everyone that has reported any issues to us and please keep on reporting any problems you have on our forum<https://forum.mantidproject.org/> or by email on mantid-help(a)mantidproject.org<http://mantid-help@mantidproject.org>.
Installation on IDAaaS at ISIS: The version will remain pinned at 6.2.0. Please contact support(a)analysis.stfc.ac.uk<mailto:support@analysis.stfc.ac.uk> to arrange for the environment for your group to be updated at a convenient time.
Kind regards,
Mantid Development Team
p.s. You may have received an email saying you have been unsubscribed from our announcements list. This was to make way for sending the announcement to a wider list that would include everyone rather than curating a separate manual list. Sorry for any confusion.
This email and any attachments are intended solely for the use of the named recipients. If you are not the intended recipient you must not use, disclose, copy or distribute this email or any of its attachments and should notify the sender immediately and delete this email from your system. UK Research and Innovation (UKRI) has taken every reasonable precaution to minimise risk of this email or any attachments containing viruses or malware but the recipient should carry out its own virus and malware checks before opening the attachments. UKRI does not accept any liability for any losses or damages which the recipient may sustain due to presence of any viruses.
