Master AI and Machine Learning: From Neural Networks to Applications
Learn Backend Development Part-Time, Online
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Learn how to extract high-resolution images of individual cores from a Tissue Microarray (TMA) in this 12-minute tutorial. Follow a step-by-step process that includes detecting cores in QuPath, saving their locations in a text file, and utilizing custom Python code to save core images. Download QuPath from https://qupath.github.io/ to get started with this practical guide to de-arraying TMAs.
Syllabus
343 De-arraying Tissue Microarrays (TMA) using Qupath and python code
Taught by
DigitalSreeni