Articles | Volume 11, issue 1
J. Sens. Sens. Syst., 11, 129–136, 2022

Special issue: Sensors and Measurement Science International SMSI 2021

J. Sens. Sens. Syst., 11, 129–136, 2022
Regular research article
03 May 2022
Regular research article | 03 May 2022

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

Nina Leiter et al.

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Cited articles

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Hasan, R., Solo-Gabriele, H., and Townsend, T.: Online sorting of recovered wood waste by automated XRF-technology, part 2 sorting efficiencies, Waste Manage., 31, 695–704,, 2011.  
Leiter, N., Wohlschläger, M., Auer, V., Versen, M., and Laforsch, C.: A novel approach to identify wood species optically using fluorescence lifetime imaging microscopy, in: SMSI 2021 Conference – Sensor and Measurement Science International, 3–6 May 2021, Digital Conference, 169–170,, 2021. 
Short summary
In this contribution the frequency domain fluorescence lifetime imaging microscopy (FD-FLIM) technique is evaluated for post-consumer wood sorting. The measured data were processed using algorithmic decision trees to identify the wood species and post-consumer wood category. The experimental results revealed the high potential of the FD-FLIM technique for automated post-consumer wood sorting.