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Optimized processing and analysis of conventional confocal microscopy generated scanning FCS data.

Dominic Waithe1, Falk Schneider2, Jakub Chojnacki2

  • 1Wolfson Imaging Centre, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford OX3 9DS, UK.

Methods (San Diego, Calif.)
|October 1, 2017
PubMed
Summary
This summary is machine-generated.

Scanning Fluorescence Correlation Spectroscopy (scanning FCS) offers simultaneous multi-location molecular diffusion analysis. This study optimizes scanning FCS data processing and analysis, making it accessible for broad physiological research.

Keywords:
ConfocalCorrelationDiffusionSTEDScanningSpectroscopy

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Area of Science:

  • Biophysics
  • Chemical Physics
  • Molecular Dynamics

Background:

  • Conventional point Fluorescence Correlation Spectroscopy (FCS) measures molecular diffusion at a single point.
  • Scanning FCS expands this by enabling simultaneous measurements at multiple locations.
  • This facilitates the study of spatial heterogeneity in molecular diffusion dynamics.

Purpose of the Study:

  • To optimize the processing and analysis of large-scale scanning FCS data.
  • To present FoCuS-scan, a software solution for scanning FCS data analysis.
  • To characterize large-scale scanning FCS data and address challenges with slow diffusion.

Main Methods:

  • Development and implementation of FoCuS-scan software for scanning FCS data.
  • Comprehensive characterization of scanning FCS data across various time scales.
  • Development of a novel solution for bias and variance in slow diffusion analysis.

Main Results:

  • FoCuS-scan provides an end-to-end solution for analyzing scanning FCS data from commercial confocal systems.
  • Thorough characterization of large-scale scanning FCS data was performed.
  • A unique method was proposed to mitigate bias and variance in the study of slowly diffusing species.

Conclusions:

  • Scanning FCS can be readily utilized by researchers for diffusion measurements across physiological length scales.
  • No specialized hardware or expensive software is required for implementing scanning FCS.
  • This work empowers broader application of scanning FCS in biological and chemical research.