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Topic: Quantitation in Colocalization Analysis: Beyond "Red + Yellow = Green"
Date: 23/05/2017
Time: 2:30 p.m. - 3:30 p.m.
Venue: Lady Shaw Building, Room LT3
Category: Seminar
Speaker: Professor Ming YUAN
Details:

Abstract

"I see yellow; therefore, there is colocalization.”  Is it really so simple when it comes to colocalization studies?  Unfortunately, and fortunately, no.  Colocalization is in fact a supremely powerful technique for scientists who want to take full advantage of what optical microscopy has to offer: quantitative, correlative information together with spatial resolution. Yet, methods for colocalization have been put into doubt now that images are no longer considered simple visual representations.  Colocalization studies have notoriously been subject to misinterpretation due to difficulties in robust quantification and, more importantly, reproducibility, which results in a constant source of confusion, frustration, and error. In this talk, I will share some of our effort and progress to ease such challenges using novel statistical and computational tools.

PDF: 20170523_YUAN.pdf