CASPI: collaborative photon processing for active single-photon imaging.

Autor: Lee J; Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI, USA. jlee567@wisc.edu., Ingle A; Department of Computer Science, Portland State University, Portland, OR, USA., Chacko JV; Laboratory for Optical and Computational Instrumentation, University of Wisconsin-Madison, Madison, WI, USA.; Center for Quantitative Cell Imaging, University of Wisconsin-Madison, Madison, WI, USA., Eliceiri KW; Laboratory for Optical and Computational Instrumentation, University of Wisconsin-Madison, Madison, WI, USA.; Center for Quantitative Cell Imaging, University of Wisconsin-Madison, Madison, WI, USA.; Morgridge Institute for Research, Madison, WI, USA.; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA.; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA.; McPherson Eye Research Institute, Madison, WI, USA., Gupta M; Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI, USA.; McPherson Eye Research Institute, Madison, WI, USA.
Jazyk: angličtina
Zdroj: Nature communications [Nat Commun] 2023 May 31; Vol. 14 (1), pp. 3158. Date of Electronic Publication: 2023 May 31.
DOI: 10.1038/s41467-023-38893-9
Abstrakt: Image sensors capable of capturing individual photons have made tremendous progress in recent years. However, this technology faces a major limitation. Because they capture scene information at the individual photon level, the raw data is sparse and noisy. Here we propose CASPI: Collaborative Photon Processing for Active Single-Photon Imaging, a technology-agnostic, application-agnostic, and training-free photon processing pipeline for emerging high-resolution single-photon cameras. By collaboratively exploiting both local and non-local correlations in the spatio-temporal photon data cubes, CASPI estimates scene properties reliably even under very challenging lighting conditions. We demonstrate the versatility of CASPI with two applications: LiDAR imaging over a wide range of photon flux levels, from a sub-photon to high ambient regimes, and live-cell autofluorescence FLIM in low photon count regimes. We envision CASPI as a basic building block of general-purpose photon processing units that will be implemented on-chip in future single-photon cameras.
(© 2023. The Author(s).)
Databáze: MEDLINE
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