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Updated: May 21, 2026
Automated Analysis of Dynamic Ca2+ Signals in Image Sequences
Published on: June 16, 2014
A universal analysis tool for the detection of asymmetric signal distribution in microscopic images
Maja Matis1, Jeffrey D Axelrod, Milos Galic
1Department of Pathology, Stanford University School of Medicine, Stanford, California, USA. matis@stanford.edu
Background:
Polarization of tissue is achieved by asymmetric distribution of proteins and organelles within individual cells. However, existing quantitative assays to measure this asymmetry in an automated and unbiased manner suffer from significant limitations.
Results:
Here, we report a new way to assess protein and organelle localization in tissue based on correlative fluorescence analysis. As a proof of principle, we successfully characterized planar cell polarity dependent asymmetry in developing Drosophila melanogaster tissues on the single cell level using fluorescence cross-correlation.
Conclusions:
Systematic modulation of signal strength and distribution show that fluorescence cross-correlation reliably detects asymmetry over a broad parameter space. The novel method described here produces robust, rapid, and unbiased measurement of biometrical properties of cell components in live tissue that is readily applicable in other model systems.
