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

Author:

Chen Cheng1ORCID,Wang Ziwen2,Wu Jiajing34,Deng Zhengtao3ORCID,Zhang Tao3ORCID,Zhu Zhongmin1ORCID,Jin Yifei1,Lew Benjamin1ORCID,Srivastava Indrajit1ORCID,Liang Zuodong1ORCID,Nie Shuming125ORCID,Gruev Viktor1256ORCID

Affiliation:

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

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

3. College of Engineering and Applied Sciences, Nanjing University, 163 XianLin Ave, Nanjing, Jiangsu 210023, China.

4. School of Chemistry and Chemical Engineering, Yangzhou University, 180 Siwangting Road, Yangzhou, Jiangsu 250002, China.

5. Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N Mathews Ave, Urbana, IL 61801, USA.

6. Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, 506 South Mathews Ave, Urbana, IL 61801, USA.

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 Papilio xuthus 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.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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