This email announces the official release of Mantid Imaging 2.0. The first production-ready version of Mantid Imaging. 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. Release Notes https://mantidproject.github.io/mantidimaging/release_notes/2.0.html The release has been published on https://anaconda.org/mantid/mantidimaging/files . It is also available from https://github.com/mantidproject/mantidimaging . It is deployed for STFC users in the IDAaaS VM system. Documentation and a user guide can be found at https://mantidproject.github.io/mantidimaging/ For user support please contact: mantidimagingsupport(a)stfc365.onmicrosoft.com Thanks to all involved in the development. Full citations can be found at https://doi.org/10.5281/zenodo.4451979 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. Opinions, conclusions or other information in this message and attachments that are not related directly to UKRI business are solely those of the author and do not represent the views of UKRI.