UV-Visible-NIR Image Sensor for Labeled and Label-free Intra-operative Imaging with Human Clinical Validation

We present a single-chip imaging sensor capable of simultaneous ultraviolet (UV), visible (VIS), and near-infrared (NIR) imaging. The system integrates a checkerboard-patterned multispectral pixelated filter array with a three-layer stacked photodiode architecture, achieving six distinct spectral bands. Each photodiode layer is optimized for specific wavelengths, leveraging the wavelength-dependent absorption properties of silicon. With a power consumption of 250 mW and nearly 100% transmission in both UV and NIR spectra, the platform is optimized for intraoperative use without disrupting the surgical workflow. Clinical data from 33 patients with breast cancer demonstrated a positive predictive value of 100% for detecting primary tumors based on UV autofluorescence. These results highlight the platform’s potential for enhancing cancer detection in real-time surgical settings.

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Publication Details

Published
2025-05-25
DOI
https://doi.org/10.1109/iscas56072.2025.11043948
Primary Topic
Nanoplatforms for cancer theranostics
Type
article
Field-Weighted Citation Impact
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UV-Visible-NIR Image Sensor for Labeled and Label-free Intra-operative Imaging with Human Clinical Validation

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Nanoplatforms for cancer theranostics
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UV-Visible-NIR Image Sensor for Labeled and Label-free Intra-operative Imaging with Human Clinical Validation

Zhongmin Zhu, Shuming Nie, Viktor Gruev, Борислав Кондов, Magdalena Bogdanovska Todorovska, Haw‐Ching Yang, Горан Кондов, Yifei Jin, Haoxiang Chang, Brianna Hajek
article en

Abstract

We present a single-chip imaging sensor capable of simultaneous ultraviolet (UV), visible (VIS), and near-infrared (NIR) imaging. The system integrates a checkerboard-patterned multispectral pixelated filter array with a three-layer stacked photodiode architecture, achieving six distinct spectral bands. Each photodiode layer is optimized for specific wavelengths, leveraging the wavelength-dependent absorption properties of silicon. With a power consumption of 250 mW and nearly 100% transmission in both UV and NIR spectra, the platform is optimized for intraoperative use without disrupting the surgical workflow. Clinical data from 33 patients with breast cancer demonstrated a positive predictive value of 100% for detecting primary tumors based on UV autofluorescence. These results highlight the platform’s potential for enhancing cancer detection in real-time surgical settings.

University of Illinois Urbana-Champaign (US), Ss. Cyril and Methodius University in Skopje (MK)
U.S. Air Force, HORIZON EUROPE Health
Openalex Percentile: Top 86%
Nanoplatforms for cancer theranostics
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