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Super-resolution Fluorescence Microscopy

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Related Experiment Video

Updated: Jun 25, 2026

A Fluorescence Fluctuation Spectroscopy Assay of Protein-Protein Interactions at Cell-Cell Contacts

A Fluorescence Fluctuation Spectroscopy Assay of Protein-Protein Interactions at Cell-Cell Contacts

Published on: December 1, 2018

[Improved data processing method of fluorescence correlation spectroscopy].

Shuo Wang¹, Lei Jin, Die-Yan Chen

¹Key Laboratory of Atomic and Molecular Nanosciences of Ministry of Education, Department of Physics, Tsinghua University, Beijing 100084, China. wshoopk@gmail.com

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu

|March 11, 2009

Summary

This summary is machine-generated.

This study introduces a new differential data processing method for fluorescence correlation spectroscopy (FCS). This technique improves the analysis of complex mixtures, enabling clearer identification of fluorescent components and diffusion times.

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Last Updated: Jun 25, 2026

A Fluorescence Fluctuation Spectroscopy Assay of Protein-Protein Interactions at Cell-Cell Contacts

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High Precision FRET at Single-molecule Level for Biomolecule Structure Determination

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Published on: May 13, 2017

Area of Science:

Biophysics
Analytical Chemistry

Context:

Fluorescence Correlation Spectroscopy (FCS) is vital for measuring physicochemical properties in complex biological mixtures.
Classical FCS data processing often leads to fitting errors and unclear graphical information.

Purpose:

To develop a novel differential data processing method for FCS.
To enable intuitive estimation of parameters and identification of multi-fluorescent components.

Summary:

The improved method analyzes differential autocorrelation curves, using trough characteristics (position, depth, width) to determine diffusion times and component numbers.
This approach enhances the reliability of FCS measurements in complex biological environments.

Impact:

Provides a more intuitive and accurate method for FCS data analysis.
Facilitates deeper application of FCS in life sciences and complex mixture analysis.