An algorithmic method for the identification of wood species and the classification of post-consumer wood using fluorescence lifetime imaging microscopy

  • In this contribution the frequency domain fluorescence lifetime imaging microscopy (FD-FLIM) technique is evaluated for post-consumer wood sorting. The fluorescence characteristics of several wood samples were determined, whereby two excitation wavelengths (405 and 488 nm) were used. The measured data were processed using algorithmic methods to identify the wood species and post-consumer wood category. With the excitation wavelength of 405 nm, 16 out of 19 samples could be correctly assigned to the corresponding post-consumer wood category by means of the fluorescence lifetimes. Thus, the experimental results revealed the high potential of the FD-FLIM technique for automated post-consumer wood sorting.

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Author:Nina Leiter, Maximilian Wohlschläger, Martin Versen, Christian Laforsch
DOI:https://doi.org/10.5194/jsss-11-129-2022
Parent Title (English):Journal of Sensors and Sensor Systems
Document Type:Article (peer reviewed)
Language:English
Publication Year:2022
Volume:11
Issue:1
First Page:129
Last Page:136
faculties / departments:Fakultät für Ingenieurwissenschaften