UTCT Short Courses 2023

Geology Short Course

The University of Texas High-Resolution X-ray CT Facility (UTCT) will host its annual short course on the acquisition, visualization, and analysis of X-ray CT (XCT) data of geological samples June 28-30, 2023 in Austin, TX. This course presents an overview of the acquisition and interpretation of XCT data, followed by hands-on training in 3D visualization and quantitative analysis of discrete geological features (e.g., clasts, mineral grains, fractures, pores, chondrules) and fabrics, using Dragonfly, ImageJ, Blob3D, and Quant3D (the latter two programs developed at UTCT). 

This course is sponsored in part by NSF and funds are available to help cover the cost of lodging and meals. 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 XCT 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 XCT 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 Dr. Romy Hanna (romy@jsg.utexas.edu) no later than Friday, April 28th that briefly outlines:

  1. Relevant biographical information (including your academic affiliations and your status as student or faculty/staff);
  2. The type of sample(s) that you aim to analyze and your research objectives;
  3. Whether you have sample(s) that you would like to have scanned at UTCT, or already have XCT data ready to analyze

Biology and Paleontology Short Course

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 July 26-28, 2023 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, June 2 that briefly outlines:

  1. Relevant biographical information (including your academic affiliations and your status as student or faculty/staff);
  2. The type of sample(s) that you plan to analyze and your research objectives;
  3. Whether you have sample(s) that you would like to have scanned at UTCT, or already have HRXCT data ready to analyze.