DOI

  • Andrey Bogomolov
  • Vladimir Ageev
  • Urszula Zabarylo
  • Iskander Usenov
  • Franziska Schulte
  • Dmitry Kirsanov
  • Valeria Belikova
  • Olaf Minet
  • E. Feliksberger
  • I. Meshkovsky
  • Viacheslav Artyushenko

Optical spectroscopic technologies are increasingly used for cancer diagnostics. Feasibility of differentiation between malignant and healthy samples of human kidney using Fluorescence, Raman, MIR and NIR spectroscopy has been recently reported. In the present work, a simplification of NIR spectroscopy method has been studied. Traditional high-resolution NIR spectrometry was replaced by an optical sensor based on a set of light-emitting diodes at selected wavelengths as light sources and a photodiode. Two prototypes of the sensor have been developed and tested using 14 in-vitro samples of seven kidney tumor patients. Statistical evaluation of results using principal component analysis and partial least-squares discriminant analysis has been performed. Despite only partial discrimination between tumor and healthy tissue achieved by the presented new technique, the results evidence benefits of LED-based near-infrared sensing used for oncological diagnostics. Publisher's Note: This paper, originally published on 4 March, 2016, was replaced with a corrected/revised version on 7 April, 2016. If you downloaded the original PDF but are unable to access the revision, please contact SPIE Digital Library Customer Service for assistance.

Original languageEnglish
Title of host publicationOptical Diagnostics and Sensing XVI
Subtitle of host publicationToward Point-of-Care Diagnostics
PublisherSPIE
Volume9715
ISBN (Electronic)9781628419498
DOIs
StatePublished - 2016
EventOptical Diagnostics and Sensing XVI: Toward Point-of-Care Diagnostics - San Francisco, United States
Duration: 14 Feb 2016 → 15 Feb 2016

Conference

ConferenceOptical Diagnostics and Sensing XVI: Toward Point-of-Care Diagnostics
Country/TerritoryUnited States
CitySan Francisco
Period14/02/16 → 15/02/16

    Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

    Research areas

  • cancer diagnostics, LED, near infrared, optical sensor, sensor

ID: 9186223