Course Contents and Structure: Course is a combination of formal didactics (in the morning) and labs (in the afternoon and evenings). Guest lecturers will cover topics in theory of statistical shape analysis, applied imaging, and high-throughput image analysis. Labs will cover all aspects of conducting specimen-based research using 3D imaging. Practical topics (e.g., image processing and segmentation, visualization) will be taught using the open-source 3D-Slicer visualization suite and the SlicerMorph morphometrics toolkit (statistical shape analysis) Additional lab topics include using 3D specimen repositories to obtain data, tools and methods for collaboration and reproducible research, introduction to data analysis through R/Python. Course material will be focused on volumetric (e.g., CT or microCT) 3D datasets, but will be equally applicable to data from 3D surface scanners.
Expectations from attendees: Course format will be highly collaborative, and labs will be done in small teams. Prior experience with the tools is not expected, but will positively impact the learning experience. Students are expected to come with a project (and/or bring a sample to be imaged) and present at the beginning and the conclusion of the workshop as lightning talks. Each attendee should bring a recent (last two years) laptop running Windows, Mac or Linux OSes (no netbooks or tablets). More information about computer requirements will be provided to the selected applicants.
Logistics: Selected applicants will be notified by December 1st. Due to the logistics of getting to the island and the pace of the workshop, partial attendance is not possible, and selected participants need to confirm their travel plans in two weeks or forfeit their admission. Participants will be housed at the shared dormitories on site. It is expected that the attendee will arrive FHL by Sunday February 16th PM and be present for the pre-course registration and self-pace labs in the evening. Workshop will end Saturday evening. Attendees need to check out from dorms by Sunday 23th noon. Please consider these requirements when applying.
Course Fees and Travel Support: There are no course registration fees and all lodging and meals are covered thanks to generous support from the National Science Foundation Advances in Biological Informatics program (ABI-1759637, Adam Summers & Murat Maga). A limited number of scholarships to offset the cost of travel is available for under-represented minorities (URM) in STEM. Please indicate your interest during application.
Contact information: If you have any questions, please contact us and one of our course directors will respond to your inquiry.