Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 2338–2353 |
| Seitenumfang | 16 |
| Fachzeitschrift | Journal of Bionic Engineering |
| Jahrgang | 22 |
| Ausgabenummer | 5 |
| Frühes Online-Datum | 11 Juli 2025 |
| Publikationsstatus | Veröffentlicht - Sept. 2025 |
Abstract
Detecting and distinguishing infrared radiation for non-invasive medical diagnostic purposes has been attempted for basic surface temperature assessment since the middle of the 20th century. However, the long wavelength and low energy of infrared radiation impede the detection of signals from deeper tissue layers, significantly limiting its use in diagnostics. To overcome these limitations, a novel approach was developed by combining a semiconductor gallium arsenide chip and prism-based optics that enabled the detection of signals in the infrared and terahertz spectrum. Challenges related to penetration depth and thermal noises were addressed by neural network modelling.
ASJC Scopus Sachgebiete
- Biochemie, Genetik und Molekularbiologie (insg.)
- Biotechnologie
- Chemische Verfahrenstechnik (insg.)
- Bioengineering
- Biochemie, Genetik und Molekularbiologie (insg.)
- Biophysik
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in: Journal of Bionic Engineering, Jahrgang 22, Nr. 5, 09.2025, S. 2338–2353.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Biomimetic Optics in the Infrared and Terahertz Wavelengths for Clinical Applications
AU - Israelowitz, Meir
AU - Weyand, Birgit
AU - Schmitz, Gerd
AU - Kuhnke, Moritz
AU - Bohlmann, Sabine
AU - Rizvi, W. H. Syed
AU - Bediukh, Alexander
AU - von Schroeder, Herbert P.
AU - Vogt, Peter M.
AU - Reuter, Matthias
N1 - Publisher Copyright: © The Author(s) 2025.
PY - 2025/9
Y1 - 2025/9
N2 - Detecting and distinguishing infrared radiation for non-invasive medical diagnostic purposes has been attempted for basic surface temperature assessment since the middle of the 20th century. However, the long wavelength and low energy of infrared radiation impede the detection of signals from deeper tissue layers, significantly limiting its use in diagnostics. To overcome these limitations, a novel approach was developed by combining a semiconductor gallium arsenide chip and prism-based optics that enabled the detection of signals in the infrared and terahertz spectrum. Challenges related to penetration depth and thermal noises were addressed by neural network modelling.
AB - Detecting and distinguishing infrared radiation for non-invasive medical diagnostic purposes has been attempted for basic surface temperature assessment since the middle of the 20th century. However, the long wavelength and low energy of infrared radiation impede the detection of signals from deeper tissue layers, significantly limiting its use in diagnostics. To overcome these limitations, a novel approach was developed by combining a semiconductor gallium arsenide chip and prism-based optics that enabled the detection of signals in the infrared and terahertz spectrum. Challenges related to penetration depth and thermal noises were addressed by neural network modelling.
KW - Infrared Sensor
KW - Non-invasive Diagnostics
KW - Terahertz
KW - Thermal Noise
UR - http://www.scopus.com/inward/record.url?scp=105010649503&partnerID=8YFLogxK
U2 - 10.1007/s42235-025-00749-x
DO - 10.1007/s42235-025-00749-x
M3 - Article
VL - 22
SP - 2338
EP - 2353
JO - Journal of Bionic Engineering
JF - Journal of Bionic Engineering
SN - 1672-6529
IS - 5
ER -