A non-Gaussian distribution quantifies distances measured with fluorescence localization techniques

Biophys J. 2006 Jan 15;90(2):668-71. doi: 10.1529/biophysj.105.065599. Epub 2005 Oct 28.

Abstract

When single-molecule fluorescence localization techniques are pushed to their lower limits in attempts to measure ever-shorter distances, measurement errors become important to understand. Here we describe the non-Gaussian distribution of measured distances that is the key to proper interpretation of distance measurements. We test it on single-molecule high-resolution colocalization data for a known distance, 10 nm, and find that it gives the correct result, whereas interpretation of the same data with a Gaussian distribution gives a result that is systematically too large.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • DNA / chemistry
  • Fluorescence Polarization
  • Likelihood Functions
  • Microscopy, Fluorescence
  • Models, Statistical
  • Models, Theoretical
  • Molecular Conformation
  • Monte Carlo Method
  • Normal Distribution
  • Nucleic Acid Conformation*
  • Nucleic Acid Denaturation
  • Reproducibility of Results
  • Spectrometry, Fluorescence / methods*
  • Time Factors

Substances

  • DNA