Method of detecting tissue contact for fiber-optic probes to automate data acquisition without hardware modification

Sarah Ruderman*, Scott Mueller, Andrew Gomes, Jeremy Rogers, Vadim Backman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

We present a novel algorithm to detect contact with tissue and automate data acquisition. Contact fiber-optic probe systems are useful in noninvasive applications and real-time analysis of tissue properties. However, applications of these technologies are limited to procedures with visualization to ensure probe-tissue contact and individual user techniques can introduce variability. The software design exploits the system previously designed by our group as an optical method to automatically detect tissue contact and trigger acquisition. This method detected tissue contact with 91% accuracy, detected removal from tissue with 83% accuracy and reduced user variability by > 8%.Without the need for additional hardware, this software algorithm can easily integrate into any fiber-optic system and expands applications where visualization is difficult.

Original languageEnglish (US)
Pages (from-to)1401-1412
Number of pages12
JournalBiomedical Optics Express
Volume4
Issue number8
DOIs
StatePublished - 2013

ASJC Scopus subject areas

  • Biotechnology
  • Atomic and Molecular Physics, and Optics

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