Theory and practical recommendations for autocorrelation-based image correlation spectroscopy

Claire Robertson, Steven George

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

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.

Original languageEnglish (US)
Article number080801
JournalJournal of Biomedical Optics
Volume17
Issue number8
DOIs
StatePublished - Aug 1 2012

Keywords

  • Autocorrelation
  • Image analysis
  • Image correlation spectroscopy

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Biomedical Engineering

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