| Publication type: | Conference paper |
| Type of review: | Peer review (publication) |
| Title: | Deep-learning for multi-parameter luminescence sensing : demonstration of dual sensor |
| Authors: | Venturini, Francesca Michelucci, Umberto Baumgartner, Michael |
| et. al: | No |
| Proceedings: | Proceedings Frontiers in Optics / Laser Science |
| Conference details: | OSA Frontiers in Optics / Laser Science, online, 14-17 September 2020 |
| Issue Date: | 2020 |
| Publisher / Ed. Institution: | OSA Publishing |
| ISBN: | 978-1-943580-80-4 |
| Language: | English |
| Subjects: | Oxygen sensor; Luminescence; Luminescence quenching; Temperature sensor; Artificial intelligence; Dual sensor |
| Subject (DDC): | 006: Special computer methods 600: Technology |
| Abstract: | The determination of multiple parameters via luminescence sensing is of great interest for many applications in different fields, like biosensing and biological imaging, medicine, and diagnostics. The typical approach consists in measuring multiple quantities and in applying complex approximated mathematical models to characterize the sensor response from the relevant parameters. Here a new approach for luminescence sensors is proposed, which allows the determination of multiple physical parameters simultaneously from a single measurement. The new approach is demonstrated by a dual oxygen concentration and temperature sensor. These results are achieved using multi-task deep-learning neural networks. |
| Further description: | From the session : Machine Learning and Tomography (FTu2B), Paper FTu2B.5 |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/21143 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Applied Mathematics and Physics (IAMP) |
| Appears in collections: | Publikationen School of Engineering |
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Venturini, F., Michelucci, U., & Baumgartner, M. (2020). Deep-learning for multi-parameter luminescence sensing : demonstration of dual sensor. Proceedings Frontiers in Optics / Laser Science.
Venturini, F., Michelucci, U. and Baumgartner, M. (2020) ‘Deep-learning for multi-parameter luminescence sensing : demonstration of dual sensor’, in Proceedings Frontiers in Optics / Laser Science. OSA Publishing.
F. Venturini, U. Michelucci, and M. Baumgartner, “Deep-learning for multi-parameter luminescence sensing : demonstration of dual sensor,” in Proceedings Frontiers in Optics / Laser Science, 2020.
VENTURINI, Francesca, Umberto MICHELUCCI und Michael BAUMGARTNER, 2020. Deep-learning for multi-parameter luminescence sensing : demonstration of dual sensor. In: Proceedings Frontiers in Optics / Laser Science. Conference paper. OSA Publishing. 2020. ISBN 978-1-943580-80-4
Venturini, Francesca, Umberto Michelucci, and Michael Baumgartner. 2020. “Deep-Learning for Multi-Parameter Luminescence Sensing : Demonstration of Dual Sensor.” Conference paper. In Proceedings Frontiers in Optics / Laser Science. OSA Publishing.
Venturini, Francesca, et al. “Deep-Learning for Multi-Parameter Luminescence Sensing : Demonstration of Dual Sensor.” Proceedings Frontiers in Optics / Laser Science, OSA Publishing, 2020.
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