Development of a neural network to identify plastics using Fluorescence Lifetime Imaging Microscopy. - Georgekutty Jose Maniyattu; Eldho Geegy; Nina Leiter; Maximilian Wohlschläger; Martin Versen; Christian Laforsch (SAS, 2022)

Comparison of Two Classification Methods Trained with FD-FLIM Data to Identify and Distinguish Plastics from Environmental Materials. - Maximilian Wohlschläger; Nina Leiter; Maximilian Dietlmeier; Martin G. J. Löder; Martin Versen; Christian Laforsch (IJCNN, 2023)

Development of a Neural Network for Automatic Classification of Post-Consumer Wood Using Rapid-FLIM. - Nina Leiter; Maximilian Dietlmeier; Maximilian Wohlschläger; Martin G. J. Löder; Martin Versen; Christian Laforsch (SAS, 2023)

Comparative Analysis of Fluorescence Properties of Post-Consumer Wood Using FD-FLIM. - Nina Leiter; Maximilian Wohlschläger; Maximilian Dietlmeier; Martin Versen; Martin G. J. Löder; Christian Laforsch (SAS, 2023)

Combining BLOB-Detection and MLP to Detect and Identify Plastics in an Environmental Matrix. - Maximilian Wohlschläger; Yamna Khan; Nina Leiter; Martin Versen; Martin G. J. Löder; Christian Laforsch (SAS, 2023)

Identification of Microplastic Contamination in Food using FD-FLIM. - Nina Leiter; Sebastian Heitzmann; Martin Versen; Maximilian Wohlschläger; Martin G. J. Löder; Christian Laforsch (SAS, 2025)