The University of Texas High-Resolution X-ray CT Facility (UTCT) will host a short course on the fundamentals of acquisition, visualization, and analysis of high-resolution X-ray CT (HRXCT) data for biological and paleontological specimens April 17-19, 2024 in Austin, TX.
This short course will present an overview of the acquisition, interpretation, 3D visualization and analysis of HRXCT data. This will be followed by hands-on training focused on 3D visualization, surface extraction, and segmentation (e.g., endocasts, digital dissection) including deep learning. Covered programs include ImageJ, Avizo, and Dragonfly.
This course is sponsored in part by NSF and funds are available to help cover the cost of attending. There is no charge to attend. Due to high interest in the course we will not be able to accept all applicants. Preference will be given to applicants who have or will have HRXCT data and have a demonstrated need for immediate application of the skills learned. Students and early career researchers receive priority. Participants are invited to bring their own HRXCT data, or to have specimens scanned (at a significant discount) at UTCT prior to the course.
To apply please email an application statement (limit of ~300 words) to Jessie Maisano (maisano@utexas.edu) no later than Friday, February 16 that briefly outlines:
- Relevant biographical information (including your academic affiliations and your status as student or faculty/staff);
- The type of sample(s) that you plan to analyze and your research objectives;
- Whether you have sample(s) that you would like to have scanned at UTCT, or already have HRXCT data ready to analyze.