Machine learning-powered activatable NIR-II fluorescent nanosensor for in vivo monitoring of plant stress responses

Abstract Real-time monitoring of plant stress signaling molecules is crucial for early disease diagnosis and prevention. However, existing methods are often invasive and lack sensitivity, rendering them inadequate for continuous monitoring of subtle plant stress responses. In this study, we develop...

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Bibliographic Details
Main Authors: Hong Hu, Hao Yuan, Shengchun Sun, Jianxing Feng, Ning Shi, Zexiang Wang, Yan Liang, Yibin Ying, Yixian Wang
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-60182-w
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