An algorithmic method to identify multiple wood species in a single image by their specific fluorescence lifetimes

Nina Leiter; Maximilian Wohlschläger; Veronika Auer; Martin Versen; Christian Laforsch

doi:10.1364/COSI.2021.CF2B.3

OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)
OSA Technical Digest (Optica Publishing Group, 2021),
paper CF2B.3
•https://doi.org/10.1364/COSI.2021.CF2B.3

An algorithmic method to identify multiple wood species in a single image by their specific fluorescence lifetimes

Nina Leiter, Maximilian Wohlschläger, Veronika Auer, Martin Versen, and Christian Laforsch

Computational Optical Sensing and Imaging 2021

Washington, DC United States
19–23 July 2021
ISBN: 978-1-943580-89-7

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Architectures for Optical Signal Processing (CF2B)

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N. Leiter, M. Wohlschläger, V. Auer, M. Versen, and C. Laforsch, "An algorithmic method to identify multiple wood species in a single image by their specific fluorescence lifetimes," in OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP), H. Hua, B. Javidi, M. Martinez-Corral, O. Matoba, A. Stern, S. Thibault, T. Alieva, J. Ke, F. Willomitzer, F. Okten, P. Silveira, P. Banerjee, E. Stoykova, D. Chu, J. Park, F. Imai, C. Joo, M. Digman, D. Gardner, S. Gladysz, D. LeMaster, S. Basu, and O. Korotkova, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper CF2B.3.

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Abstract

Fluorescence lifetime imaging microscopy (FLIM) combined with an image processing algorithm is successfully used for the optical identification and areal separation of three wood species of maple, larch and nut in a single taken image.

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