A 2-day training course covering theory and computer-based practical works using the Thermo Scientific Amira-Avizo Software.

Date: Monday 28 September – Tuesday 29 September 2026

Time: 09:00 – 17:00

Venue: Hamilton Room, Rutherford Appleton Laboratory Visitor Centre, Harwell Campus

Cost: £400 +VAT for academics, students, postdocs and government, £800 +VAT for industry.

Lab/synchrotron X-ray tomography has emerged as one of the most important techniques for research in a wide range of applications including healthcare, energy, food and geology. Advances in the quality of X-ray beams, optics, high speed data acquisition and in-situ environments have made significant improvements to non-destructive imaging of a specimen structure in 3D and over a wide range of length scales (micron- and nanoscales). Although the direct benefit of X-ray tomography is the 3D visualisation of the internal structure of specimens, which is very valuable to understand the structure/function relationships, the technique has however a lot more to offer. The information is hidden in the data, and robust methods and workflows — increasingly powered by AI/deep learning — are needed to extract it in a relevant and accurate way, and make it readily available for decision making.

The training is organised in three parts: theory of image processing and deep learning (0.5 day), and computer-based practical work using the Thermo Scientific Amira-Avizo Software 3D (1.5 day), including its AI-based tools for denoising and segmentation. At the end of the second day, the users are invited to practise on their own dataset with the help of the trainers. The attendees are invited to bring their own laptop (an Avizo license will be provided for the training).

Courses generally fill up very quickly and places are allocated on a first come first serve basis. If there is low attendance, a course may be cancelled with a month’s notice.