@inproceedings{ThomasSaleemLeiteretal.2023, author = {Thomas, Amal and Saleem, Shaif and Leiter, Nina and Dietlmeier, Maximilian and Wohlschl{\"a}ger, Maximilian and Versen, Martin and Laforsch, Christian and Schwarz, Jonas and Auer, Veronika and Risse, Michael}, title = {Frequency Domain Fluorescence Lifetime Imaging Microscopy (FD-FLIM) analysis of Quercus robur samples for origin differentiation purposes}, series = {Optica Sensing Congress 2023}, booktitle = {Optica Sensing Congress 2023}, year = {2023}, abstract = {The fast classification and identification of plastics presents a significant challenge. The study assesses the suitability of a Multilayer Perceptron to classify and identify commonly found plastic types using Rapid-FLIM, achieving an accuracy of 88.33\%. @inproceedingsSchwarz:23, Increasing demand for wood products requires methods to determine its harvest origin and ensure sustainable and legal sourcing. In 15 out of 21 cases, the origin of Quercus robur was differentiable in FD-FLIM studies.}, language = {en} } @inproceedings{ThomasSaleemLeiteretal.2023, author = {Thomas, Amal and Saleem, Shaif and Leiter, Nina and Dietlmeier, Maximilian and Wohlschl{\"a}ger, Maximilian and Versen, Martin and Laforsch, Christian}, title = {Development of a Neural Network for an Automated Differentiation of Plastics using Rapid-FLIM}, series = {Optica Sensing Congress 2023}, booktitle = {Optica Sensing Congress 2023}, doi = {10.1364/ES.2023.EW4E.5}, year = {2023}, abstract = {The fast classification and identification of plastics presents a significant challenge. The study assesses the suitability of a Multilayer Perceptron to classify and identify commonly found plastic types using Rapid-FLIM, achieving an accuracy of 88.33\%.}, language = {en} }