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Updated: May 16, 2026

Confocal Microscopy Reveals Cell Surface Receptor Aggregation Through Image Correlation Spectroscopy
Published on: August 2, 2018
Theory and practical recommendations for autocorrelation-based image correlation spectroscopy
Claire Robertson1, Steven C George
1University of California, Irvine, Department of Biomedical Engineering, Irvine, CA 92697, USA.
Abstract:
Image correlation spectroscopy (ICS) is a powerful technique for detecting arrangement of fluorophores in images. This tutorial gives background into the mathematical underpinnings of ICS, specifically image autocorrelation. The effects of various artifacts and image processing steps, including background subtraction, noise, and image morphology were examined analytically and their effects on ICS analysis modeled. A series of recommendations was built based on this analysis.
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