A low-cost FPGA-based approach for pile-up corrected high-speed in vivo FLIM imaging
We enable high-precision, cost-effective FLIM imaging at acquisition speeds comparable with state-of-the-art commercial systems, facilitating the adoption of FLIM in neuroscience and other fields of research needing robust quantitative live imaging solutions.
Authors
- Matthias T. Wyss (ORCID: https://orcid.org/0000-0002-2037-3424)
- Bruno Weber (ORCID: https://orcid.org/0000-0002-9089-0689)
- Paul Zbinden (ORCID: https://orcid.org/0000-0001-8630-3296)
- Luca Ravotto (ORCID: https://orcid.org/0000-0002-0431-9866)
- Aiman S. Saab (ORCID: https://orcid.org/0000-0003-3886-8369)
- Dorian Amiet (ORCID: https://orcid.org/0000-0002-8427-7511)
- Felipe Velasquez Moros (ORCID: https://orcid.org/0000-0002-7347-2004)
- Alexandra von Faber-Castell (ORCID: https://orcid.org/0000-0002-9035-5694)
- R. Meister
Institutions
- University of Zurich (CH)
- OST - Ostschweizer Fachhochschule (CH)
Publication Details
- Journal
- Neurophotonics
- Published
- 2025-05-05
- DOI
- https://doi.org/10.1117/1.nph.12.2.025009
- Citations
- 2
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.72