Merging holography, fluorescence, and machine learning for in situ continuous characterization and classification of airborne microplastics

Articles | Volume 17, issue 23

https://doi.org/10.5194/amt-17-6945-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-17-6945-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 23

Research article

|

11 Dec 2024

Research article |

| 11 Dec 2024

Nicholas D. Beres, Julia Burkart, Elias Graf, Yanick Zeder, Lea Ann Dailey, and Bernadett Weinzierl

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Short summary

We tested a method to identify airborne microplastics (MPs), merging imaging, fluorescence, and...