Sensors and Materials

Sensors and Materials 30th Anniversary Award
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S&M Young Researcher Paper Award 2017
Award Criteria
S&M Young Researcher Paper Award 2015
Recipient: Toshihiko Noda
Paper: Magnetic-Thrust Flexible Electrode with Integrated Preamplifier for Neural Recording
Comment from Award Recipient: [English] / [日本語]

We will celebrate the 30th anniversary of Sensors and Materials in 2018.
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Sensors and Materials,
Volume 30, Number 1 (2018)

Copyright(C) MYU K.K. All Rights Reserved.
pp. 33-58
S&M1472
http://dx.doi.org/10.18494/SAM.2018.1584
Published: January 12, 2018

Tissue Hardness Measurement Sensor and Algorithm for Tumor Detection Using Light Trapping and Scattering in Silicone Waveguide [PDF]

Su Yang and Jong-Ha Lee

(Received March 1, 2017; Accepted July 12, 2017)

Keywords: tumor detection, medical device, tissue hardness, tactile sensor, optical analysis

A novel tissue hardness measurement sensor (tactile sensor) capable of measuring the material constants of sensed objects has been fabricated and demonstrated in this study. The tactile sensor we proposed is composed of an elastic optical waveguide unit, a highresolution CCD camera unit, and an LED light source. The sensing element is formed on polydimethylsiloxane (PDMS) and illuminated along its four edges by LED light sources. The sensor operates on the principle of total internal reflection within an optical waveguide. When an object compresses the waveguide, the contact area of the waveguide deforms and causes the light to scatter. Since the scattered light is directly captured by a CCD camera, the tactile resolution of the proposed sensor is based on the resolution of the camera. Experiments were conducted to demonstrate the ability of the proposed sensing strategy in measuring Young’s modulus of polymer samples within 23% error.

Corresponding author: Jong-Ha Lee


Cite this article
Su Yang and Jong-Ha Lee, Tissue Hardness Measurement Sensor and Algorithm for Tumor Detection Using Light Trapping and Scattering in Silicone Waveguide, Sens. Mater., Vol. 30, No. 1, 2018, p. 33-58.


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