De-arraying Tissue Microarrays (TMA) Using QuPath and Python Code
Offered By: DigitalSreeni via YouTube
Course Description
Overview
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
Related Courses
Data Wrangling with MongoDBMongoDB via Udacity Data Science Essentials for SAP
OnSAP Academy via Independent Herramientas de la Inteligencia de Negocios
Galileo University via edX Digital Media Analytics: Using 'Listening Data'
Purdue University via FutureLearn Advanced Business Analytics
University of Colorado Boulder via Coursera