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Activity Number: 668 - Best Practices for Programming and Analysis
Type: Contributed
Date/Time: Thursday, August 2, 2018 : 10:30 AM to 12:20 PM
Sponsor: Section for Statistical Programmers and Analysts
Abstract #328526 Presentation
Title: Statistical Quantification of Colocalization via Optimal Transport
Author(s): Carla Tameling* and Axel Munk and Stefan Jakobs and Stefan Stoldt
Companies: Department for Mathematics and Computer Science and University of Goettingen and Max Planck Institute for Biophysical Chemistry, Goettingen and Max Planck Institute for Biophysical Chemistry, Goettingen
Keywords: optimal transport; super-resolution microscopy; colocalization

The quantification of colocalization is important in biology to investigate whether two proteins in question interact in a cell. In times of super-resolution microscopy well established methods for diffraction limited light microscopy to quantify colocalization fail. We discuss the fallacy of several of such methods for STED microscopy and illustrate their performance in simulations and on protein structures in the mitochondrion. We propose a method that is based on the solution of the optimal transport problem between two estimated protein densities. Our method also gives information about the colocalization on different spatial scales. This is joint work with Axel Munk (Institute for Mathematical Stochastics, Goettingen), Stefan Jakobs, Stefan Stoldt and Till Stephan (Max Planck Institute for Biophysical Chemistry, Goettingen)

Authors who are presenting talks have a * after their name.

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