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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.
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