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

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.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:9

Enthalten in:

Science advances - 9(2023), 44 vom: 03. Nov., Seite eadk3860

Sprache:

Englisch

Beteiligte Personen:

Chen, Cheng [VerfasserIn]
Wang, Ziwen [VerfasserIn]
Wu, Jiajing [VerfasserIn]
Deng, Zhengtao [VerfasserIn]
Zhang, Tao [VerfasserIn]
Zhu, Zhongmin [VerfasserIn]
Jin, Yifei [VerfasserIn]
Lew, Benjamin [VerfasserIn]
Srivastava, Indrajit [VerfasserIn]
Liang, Zuodong [VerfasserIn]
Nie, Shuming [VerfasserIn]
Gruev, Viktor [VerfasserIn]

Links:

Volltext

Themen:

12194-71-7
Journal Article
Oxides
Perovskite

Anmerkungen:

Date Completed 06.11.2023

Date Revised 10.02.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1126/sciadv.adk3860

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM364142073