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

Authors :
Lee J
Ingle A
Chacko JV
Eliceiri KW
Gupta M
Source :
Nature communications [Nat Commun] 2023 May 31; Vol. 14 (1), pp. 3158. Date of Electronic Publication: 2023 May 31.
Publication Year :
2023

Abstract

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.<br /> (© 2023. The Author(s).)

Details

Language :
English
ISSN :
2041-1723
Volume :
14
Issue :
1
Database :
MEDLINE
Journal :
Nature communications
Publication Type :
Academic Journal
Accession number :
37258509
Full Text :
https://doi.org/10.1038/s41467-023-38893-9