The Use of High Content Screening in Biomolecular Medicine

BCH 2024H

The course will be taught at Sunnybrook Research Institute over three days and includes an additional assignment. Students will learn how to design cell-based screen assays using fluorescent cell markers/gene targets, perform a screen and acquire data using a robotic-enabled high content microscope. Material to be covered includes the philosophy and design of high content screens and the use of automated image analysis algorithms to analyze high content data sets.

 

**THIS COURSE WILL BE ONLINE ONLY**

SIGN UP: Please click HERE to request this course

Enrolled students will need to download the following and have it working on their own computer before class begins

https://cellprofiler.org/releases

and instructions on use available on that site in a popdown menu also linked here: https://cellprofiler.org/getting-started

Deadline to submit request – August 28, 2020
Drop date – Students have until the day before the first class to drop the course.  Students can only drop the course after the first class with the permission of the instructor.

Course Next Offered

Fall 2020 (Oct / November)

Course Time and Location

Location: ONLINE

DAY 1: Monday October 19, 2020
Lecture Components:
Introduction to high content screening: 10:00 AM-12:00 PM
Introduction to automated image analysis in high content screening: 2:00 - 4:00 PM

DAY 2: Monday October 26, 2020
Data analysis and group discussion (Part 1) - 1:00 - 5:00 PM

DAY 3: Monday November 2, 2020
Data analysis and group discussion (Part 2) - 1:00 - 5:00 PM

Enrollment Limit

Yes — 8

Method of Student Evaluation

Participation 50%
Final data presentation 50%

Coordinator

David W. Andrews

David W. Andrews

Sunnybrook Health Sciences Centre
2075 Bayview Ave., Room M7 621
416-480-6100, ext. 5120
david.andrews@sri.utoronto.ca

Robert Screaton

Robert Screaton

Sunnybrook Research Institute
2075 Bayview Avenue, Room M7 617


416-480-6100 X 5743
robert.screaton@sri.utoronto.ca

Last Updated 25 August 2020