Energy Migration Control of Multimodal Emissions in an Er3+ -Doped Nanostructure for Information Encryption and Deep-Learning Decoding.
Yapai SongMengyang LuGabrielle A MandlYao XieGuotao SunJiabo ChenXin LiuJohn A CapobiancoLining SunPublished in: Angewandte Chemie (International ed. in English) (2021)
Modulating the emission wavelengths of materials has always been a primary focus of fluorescence technology. Nanocrystals (NCs) doped with lanthanide ions with rich energy levels can produce a variety of emissions at different excitation wavelengths. However, the control of multimodal emissions of these ions has remained a challenge. Herein, we present a new composition of Er3+ -based lanthanide NCs with color-switchable output under irradiation with 980, 808, or 1535 nm light for information security. The variation of excitation wavelengths changes the intensity ratio of visible (Vis)/near-infrared (NIR-II) emissions. Taking advantage of the Vis/NIR-II multimodal emissions of NCs and deep learning, we successfully demonstrated the storage and decoding of visible light information in pork tissue.
Keyphrases
- energy transfer
- quantum dots
- deep learning
- visible light
- municipal solid waste
- photodynamic therapy
- life cycle
- single molecule
- pain management
- health information
- artificial intelligence
- estrogen receptor
- convolutional neural network
- drug release
- radiation therapy
- fluorescent probe
- endoplasmic reticulum
- risk assessment
- breast cancer cells
- aqueous solution
- high intensity
- global health
- chronic pain
- ionic liquid