Course Contents and Structure: Due to change to online format and with shortened hours, course will prioritize hands-on contents and computer labs over formal didactics. 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: Each attendee should have a recent (last two years) laptop running Windows, Mac or Linux OSes (no netbooks or tablets). More information about computer requirements and how to obtain the course software can be found at here.
Logistics: Selected applicants will be notified by August 1st. Due to demand and limited number of participants we can accommodate online, we will prioritize applicants who can attend the whole session. Each day will start at 9.30 (PDT) and end around 2p (PDT) with a 20 minute break sometime in between sessions.
Course FeeThere is no course registration fee. This workshop and SlicerMorph project are supported by a collaborative research grant from the National Science Foundation Advances in Biological Informatics program (ABI-1759637, Adam Summers & Murat Maga).
Contact information: If you have any questions, please email us at SlicerMorph@outlook.com, and one of the course directors will respond to you inquiry.