Phasor and neural network approaches for rapid fluorophore fraction analysis in temporal–spectral multiplexed data
Both methods demonstrate substantial advantages over common fitting, offering a faster and more accurate determination of fluorophore fractions. These advancements make temporal-spectral multiplexed data more accessible and practical, particularly for high-speed applications.
Authors
- Alexander Netaev (ORCID: https://orcid.org/0000-0002-6957-5270)
- Karsten Seidl (ORCID: https://orcid.org/0000-0001-6197-5037)
- Nicolas Schierbaum
- Manuel Ligges (ORCID: https://orcid.org/0000-0001-8172-0568)
- Jonas Rottmann (ORCID: https://orcid.org/0000-0002-9746-6194)
Institutions
- Fraunhofer Institute for Microelectronic Circuits and Systems (DE)
- University of Duisburg-Essen (DE)
Publication Details
- Journal
- Journal of Biomedical Optics
- Published
- 2025-09-08
- DOI
- https://doi.org/10.1117/1.jbo.30.9.095001
- Primary Topic
- Optical Imaging and Spectroscopy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00