Unverified paper record
High-resolution imaging of plant delayed luminescence.
Journal of Photochemistry and Photobiology B Biology · 21 Aug 2025 · 10.1016/j.jphotobiol.2025.113231
Abstract
Delayed luminescence (DL) is a quantized signal that is characteristic of photoexcited molecules entering a relaxed state. Studying DL provides critical insight into photophysical mechanisms through the analysis of specific spatiotemporal dynamics. In this study, we developed a high-sensitivity DL imaging system using a quantitative scientific complementary metal-oxide-semiconductor (qCMOS) camera and a single-photon counting resolution. By optimizing the optical architecture and signal processing algorithms together, we achieved full-field spatiotemporal DL imaging at megapixel resolution (i.e., 2304 × 4096 pixels). Key findings include the following: (1) we observed spatial heterogeneity in DL intensity across the leaves of Arabidopsis thaliana, with stronger signals detected in veins and at sites of mechanical injury; (2) species-specific DL responses occur in response to oxidative stress, with Hydrocotyle vulgaris and Ginkgo biloba showing enhanced central DL activity; (3) excitation using white light induced maximum DL intensity, while red and blue light differentially modulated decay kinetics. Finally, we develop a two-level quantum model that links DL dynamics to the populations of excited-state electrons, thereby developing a theoretical framework for future photophysical research. Collectively, this work establishes a theoretical and technological framework for advancing plant phenotyping under stress conditions and optimizing light environments.
Plant phenotyping relevance
植物の遅延発光を定量化する高感度イメージングシステムと信号処理を開発し、ストレス下の植物表現型計測への応用を実証しており、計測法が中心的です。
abstractwe developed a high-sensitivity DL imaging system using a quantitative scientific complementary metal-oxide-semiconductor (qCMOS) camera and a single-photon counting resolution.
abstractCollectively, this work establishes a theoretical and technological framework for advancing plant phenotyping under stress conditions and optimizing light environments.
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