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受生物启发的、垂直堆叠的、钙钛矿纳米晶体增强的 CMOS 成像传感器,用于解析紫外光谱特征。

Bioinspired, vertically stacked, and perovskite nanocrystal-enhanced CMOS imaging sensors for resolving UV spectral signatures.

机构信息

Department of Engineering and Computer Engineering, University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801, USA.

Department of Bioengineering, University of Illinois at Urbana-Champaign, 1406 W Green St, Urbana, IL 61801, USA.

出版信息

Sci Adv. 2023 Nov 3;9(44):eadk3860. doi: 10.1126/sciadv.adk3860.

Abstract

Imaging and identifying target signatures and biomedical markers in the ultraviolet (UV) spectrum is broadly important to medical imaging, military target tracking, remote sensing, and industrial automation. However, current silicon-based imaging sensors are fundamentally limited because of the rapid absorption and attenuation of UV light, hindering their ability to resolve UV spectral signatures. Here, we present a bioinspired imaging sensor capable of wavelength-resolved imaging in the UV range. Inspired by the UV-sensitive visual system of the butterfly, the sensor monolithically combines vertically stacked photodiodes and perovskite nanocrystals. This imaging design combines two complementary UV detection mechanisms: The nanocrystal layer converts a portion of UV signals into visible fluorescence, detected by the photodiode array, while the remaining UV light is detected by the top photodiode. Our label-free UV fluorescence imaging data from aromatic amino acids and cancer/normal cells enables real-time differentiation of these biomedical materials with 99% confidence.

摘要

在紫外线(UV)光谱中对目标特征和生物医学标记物进行成像和识别对医学成像、军事目标跟踪、遥感和工业自动化具有广泛的重要意义。然而,由于 UV 光的快速吸收和衰减,目前基于硅的成像传感器在根本上受到限制,这阻碍了它们分辨 UV 光谱特征的能力。在这里,我们提出了一种能够在 UV 范围内进行波长分辨成像的仿生成像传感器。受蝴蝶对 UV 敏感的视觉系统的启发,该传感器将垂直堆叠的光电二极管和钙钛矿纳米晶体单片集成。这种成像设计结合了两种互补的 UV 检测机制:纳米晶层将一部分 UV 信号转换为可见荧光,由光电二极管阵列检测,而其余的 UV 光则由顶部光电二极管检测。我们从芳香族氨基酸和癌细胞/正常细胞获得的无标记 UV 荧光成像数据能够实时区分这些生物医学材料,置信度达到 99%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfb1/10624339/9bfc00e5cb82/sciadv.adk3860-f1.jpg

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