Combining scanning haptic microscopy and fibre optic Raman spectroscopy for tissue characterization
Journal article, 2012

The tactile resonance method (TRM) and Raman spectroscopy (RS) are promising for tissue characterization in vivo. Our goal is to combine these techniques into one instrument, to use TRM for swift scanning, and RS for increasing the diagnostic power. The aim of this study was to determine the classification accuracy, using support vector machines, for measurements on porcine tissue and also produce preliminary data on human prostate tissue. This was done by developing a new experimental set-up combining micro-scale TRM—scanning haptic microscopy (SHM)—for assessing stiffness on a micro-scale, with fibre optic RS measurements for assessing biochemical content. We compared the accuracy using SHM alone versus SHM combined with RS, for different degrees of tissue homogeneity. The cross-validation classification accuracy for healthy porcine tissue types using SHM alone was 65–81%, and when RS was added it increased to 81–87%. The accuracy for healthy and cancerous human tissue was 67–70% when only SHM was used, and increased to 72–77% for the combined measurements. This shows that the potential for swift and accurate classification of healthy and cancerous prostate tissue is high. This is promising for developing a tool for probing the surgical margins during prostate cancer surgery.

Raman spectroscopy

Tissue characterization

Tactile resonance method

Support vector machines

Prostate cancer


Stefan Candefjord

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Biomedical Electromagnetics

Yoshinobu Murayama

Luleå University of Technology

Nihon University

M. Nyberg

Luleå University of Technology

Josef Hallberg

Luleå University of Technology

Kerstin Ramser

Luleå University of Technology

Börje Ljungberg

Umeå University

Anders Bergh

Umeå University

O. A. Lindahl

Umeå University

Luleå University of Technology

Journal of Medical Engineering and Technology

0309-1902 (ISSN)

Vol. 36 6 319-327

Subject Categories

Medical Laboratory and Measurements Technologies

Driving Forces

Innovation and entrepreneurship

Areas of Advance

Life Science Engineering (2010-2018)



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