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