Title: Ex vivo optical characterization of in vivo grown tissues on dummy sensor implants using Double Integrating Spheres measurement
Authors: Sharma, Sandeep
Goodarzi, Mohammad
Aernouts, Ben
Gellynck, Karolien
Vlaminck, Lieven
Bockstaele, Ronny
Cornelissen, Maria
Ramon, Herman
Saeys, Wouter
Issue Date: 8-May-2014
Host Document: Proc. SPIE 9129, Biophotonics: Photonic Solutions for Better Health Care IV vol:91292A pages:1-8
Conference: Proc. SPIE 9129
Abstract: Near infrared spectroscopy offers a promising technological platform for continuous glucose monitoring in the human body. NIR measurements can be performed in vivo with an implantable single-chip based optical NIR sensor. However, the application of NIR spectroscopy for accurate estimation of the analyte concentration in highly scattering biological systems still remains a challenge. For instance, a thin tissue layer may grow in the optical path of the sensor. As most biological tissues allow only a small fraction of the collimated light to pass, this might result in a large reduction of the light throughput. To quantify the effect of presence of a thin tissue layer in the optical path, the bulk optical properties of tissue samples grown on sensor dummies which had been implanted for several months in goats were characterized using Double Integrating Spheres and unscattered transmittance measurements. The measured values of diffuse reflectance, diffuse transmittance and collimated transmittance were used as input to Inverse Adding-Doubling algorithm to estimate the bulk optical properties of the samples. The estimates of absorption and scattering coefficients were then used to calculate the light attenuation through a thin tissue layer. Based on the lower reduction in unscattered transmittance and higher absorptivity of glucose molecules, the measurement in the combination band was found to be the better option for the implantable sensor. As the tissues were found to be highly forward scattering with very low unscattered transmittance, the diffuse transmittance measurement based sensor configuration was recommended for the implantable glucose sensor.
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Division of Mechatronics, Biostatistics and Sensors (MeBioS)

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