Remote thermal sensing of tissues based upon analysis of time- changing back-scattered speckle patterns

Matan Benyamin, Hadar Genish, Ran Califa, Nissan Ozana, Ariel Schwarz, Zeev Zalevsky

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The ability to remotely extract temperature from a specific location using back scattered light analysis is very applicable. In this paper we present the first step towards remote sensing of temperature by using several approaches based upon conventional neural network analysis of the back scattered speckle patterns, analysis of the speckle patterns decorrelation time constant and Photoplethysmogram measurements.

Original languageEnglish
Title of host publicationTissue Optics and Photonics
EditorsValery V. Tuchin, Walter C. P. M. Blondel, Zeev Zalevsky
PublisherSPIE
ISBN (Electronic)9781510634985
DOIs
StatePublished - 2020
EventTissue Optics and Photonics 2020 - None, France
Duration: 6 Apr 202010 Apr 2020

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11363
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceTissue Optics and Photonics 2020
Country/TerritoryFrance
CityNone
Period6/04/2010/04/20

Bibliographical note

Publisher Copyright:
© 2020 SPIE.

Keywords

  • Bio-sensing
  • Nano-vibrations
  • Neural networks
  • Speckle patterns
  • Temperature sensing

Fingerprint

Dive into the research topics of 'Remote thermal sensing of tissues based upon analysis of time- changing back-scattered speckle patterns'. Together they form a unique fingerprint.

Cite this