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Biomedical Engineering / Biomedizinische Technik

Joint Journal of the German Society for Biomedical Engineering in VDE and the Austrian and Swiss Societies for Biomedical Engineering and the German Society of Biomaterials

Editor-in-Chief: Dössel, Olaf

Editorial Board: Augat, Peter / Habibović, Pamela / Haueisen, Jens / Jahnen-Dechent, Wilhelm / Jockenhoevel, Stefan / Knaup-Gregori, Petra / Lenarz, Thomas / Leonhardt, Steffen / Plank, Gernot / Radermacher, Klaus M. / Schkommodau, Erik / Stieglitz, Thomas / Boenick, Ulrich / Jaramaz, Branislav / Kraft, Marc / Lenthe, Harry / Lo, Benny / Mainardi, Luca / Micera, Silvestro / Penzel, Thomas / Robitzki, Andrea A. / Schaeffter, Tobias / Snedeker, Jess G. / Sörnmo, Leif / Sugano, Nobuhiko / Werner, Jürgen /

IMPACT FACTOR 2017: 1.096
5-year IMPACT FACTOR: 1.492

CiteScore 2017: 0.48

SCImago Journal Rank (SJR) 2017: 0.202
Source Normalized Impact per Paper (SNIP) 2017: 0.356

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Volume 63, Issue 5


Volume 57 (2012)

LED for hyperspectral imaging – a new selection method

Tobias Heimpold
  • Institute of Electromechanical and Electronic Design, Faculty of Electrical and Computer Engineering, Dresden University of Technology, Helmholtzstr. 10, D-01069 Dresden, Germany
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Frank Reifegerste
  • Corresponding author
  • Institute of Electromechanical and Electronic Design, Faculty of Electrical and Computer Engineering, Dresden University of Technology, Helmholtzstr. 10, D-01069 Dresden, Germany, Phone: +49 351 463 36296, Fax: +49 351 463 37183
  • Email
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Stefan Drechsel
  • Institute of Electromechanical and Electronic Design, Faculty of Electrical and Computer Engineering, Dresden University of Technology, Helmholtzstr. 10, D-01069 Dresden, Germany
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Jens Lienig
  • Institute of Electromechanical and Electronic Design, Faculty of Electrical and Computer Engineering, Dresden University of Technology, Helmholtzstr. 10, D-01069 Dresden, Germany
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2018-09-24 | DOI: https://doi.org/10.1515/bmt-2017-0120


Hyperspectral imaging (HSI) has become a sophisticated technique in modern applications such as food analyses, recycling technology, medicine, pharmacy and forensic science. It allows one to analyse both spatial and spectral information from an object. But hyperspectral cameras are still expensive due to their extended wavelength range. The development of new light-emitting diodes (LED) in the recent past enables another approach to HSI using a monochrome camera in combination with a LED-based illumination. However, such a system has a lower spectral resolution. Additionally, the growing supply of LED on the market complicates the selection of LED. In this paper, we propose a new time efficient selection method for the design process of an illumination. It chooses an optimised LED combination from an existing database to match a predefined spectral power distribution. Therefore, an algorithm is used to evaluate various LED combinations. Furthermore, the method considers the spectral behaviour of each LED in dependence of forward current and temperature of the solder point. Our method has already shown promise during the selection process for even spectral distributions which is demonstrated in the study. Additionally, we will show its potential for HSI illuminations.

Keywords: design process; illumination; light-emitting diodes; multiplexed; multispectral


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About the article

Received: 2017-07-19

Accepted: 2018-09-04

Published Online: 2018-09-24

Published in Print: 2018-10-25

Author Statement

Research funding: Authors state no funding involved.

Conflict of interest: Authors state no conflict of interest.

Informed consent: Informed consent is not applicable.

Ethical approval: The conducted research is not related to either human or animals use.

Citation Information: Biomedical Engineering / Biomedizinische Technik, Volume 63, Issue 5, Pages 529–535, ISSN (Online) 1862-278X, ISSN (Print) 0013-5585, DOI: https://doi.org/10.1515/bmt-2017-0120.

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