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    <title language="eng">Identification of plastics in foodstuff using Rapid-FLIM and neural networks</title>
    <abstract language="eng">The analysis of fluorescence lifetimes has the potential to reliably differentiate plastics from foodstuffs. A setup for use in an industrial process is required to work in real time. The combination of Rapid fluorescence lifetime imaging microscopy (Rapid-FLIM) and neural networks shows significant improvements in capture time compared to other FLIM technologies, while achieving a reliable differentiation of foodstuffs and plastics.</abstract>
    <parentTitle language="eng">SMSI 2025 Conference – Sensor and Measurement Science International</parentTitle>
    <identifier type="doi">10.5162/SMSI2025/P30</identifier>
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    <author>S. Heitzmann</author>
    <author>A. S. Rajan</author>
    <author>M. Versen</author>
    <author>N. Leiter</author>
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