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A Method for Quantifying Molecular Interactions Using Stochastic Modelling and Super-Resolution Microscopy.

Keria Bermudez-Hernandez^1,2, Sarah Keegan^1,2, Donna R Whelan¹

¹Department of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, NY, USA.

Scientific Reports

|November 3, 2017

Summary

This summary is machine-generated.

We introduce the Interaction Factor (IF), a novel method to quantify molecular cluster interactions in super-resolution microscopy. This robust measure is independent of cluster density, simplifying experimental interpretation.

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Area of Science:

Biophysics
Cell Biology
Microscopy

Background:

Quantifying molecular cluster interactions is crucial in super-resolution microscopy.
Existing methods are often sensitive to cluster density, complicating analysis.

Purpose of the Study:

To introduce a new, robust measure called the Interaction Factor (IF) for quantifying molecular cluster interactions.
To develop a method that is independent of cluster density and provides an absolute measure of interaction.

Main Methods:

Utilizing stochastic modeling to estimate random cluster overlap in the absence of interaction.
Employing an analytical relationship between IF and observed overlap for estimation.
Validating the method with simulated and experimental super-resolution microscopy data.

Main Results:

The Interaction Factor (IF) is demonstrated to be independent of molecular cluster density.
IF provides an absolute measure of pair-wise interaction between different molecular cluster types.
The method shows robustness in both simulated and experimental datasets.

Conclusions:

The Interaction Factor (IF) offers a more reliable and interpretable way to quantify molecular cluster interactions in super-resolution microscopy.
IF overcomes limitations of conventional methods by being insensitive to cluster density.
An ImageJ plugin is provided for practical application of the IF method.