Algorithm for automated selection of application-specific fiber-optic reflectance probes

Andrew J. Gomes, Vadim Backman*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


Several optical techniques and fiber-optic probe systems have been designed to measure the optical properties of tissue. While a wide range of options is often beneficial, it poses a problem to investigators selecting which method to use for their biomedical application of interest. We present a methodology to optimally select a probe that matches the application requirements. Our method is based both on matching a probe's mean sampling depth with the optimal diagnostic depth of the clinical application and on choosing a probe whose interrogation depth and path length is the least sensitive to alterations in the target medium's optical properties. Satisfying these requirements ensures that the selected probe consistently assesses the relevant tissue volume with minimum variability. To aid in probe selection, we have developed a publicly available graphical user interface that takes the desired sampling depth and optical properties of the medium as its inputs and automatically ranks different techniques in their ability to robustly target the desired depth. Techniques investigated include single fiber spectroscopy, differential path length spectroscopy, polarization-gating, elastic light scattering spectroscopy, and diffuse reflectance. The software has been applied to biological case studies.

Original languageEnglish (US)
Article number027012
JournalJournal of Biomedical Optics
Issue number2
StatePublished - Feb 2013


  • Biomedical optics
  • Biophotonics
  • Optical design
  • Reflectance probes

ASJC Scopus subject areas

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


Dive into the research topics of 'Algorithm for automated selection of application-specific fiber-optic reflectance probes'. Together they form a unique fingerprint.

Cite this