journal article·2026-03Open access

High‐Resolution Multispectral Photovoltaic Imagers from Visible to Short‐Wave Infrared

Wanqing Li, Cheng Bi, Min He, Xiaolong Zheng, Yuning Luo, Yimei Tan, Chenxi Liu, Salihuojia Talanti, Yanfei Liu, Ge Mu, Qun Hao, Kangkang Weng, Xin Tang

Advanced Science· Volume 13· Issue 18

Abstract

ABSTRACT Visible to short‐wave infrared multispectral imaging is gaining significant attention across various fields, including agriculture, security, and medical diagnostics. Traditional multispectral imaging systems often rely on separate sensors for different spectral bands, leading to complex optical alignment and irreversible resolution loss. Here, we present hardware‐algorithm co‐designed architecture to achieve multispectral super‐resolution imaging. Specifically, we demonstrate a monolithic quad‐spectral photovoltaic imaging platform featuring a resolution of 640 × 512 pixels with <1% dead pixels per channel. The system achieves broadband spectral integration from visible to short‐wave infrared (350–2350 nm) by combining an all‐polymer bulk heterojunction with colloidal quantum dots within a single CMOS‐compatible architecture. The compatibility of all‐polymer bulk heterojunction with direct photopatterning allows for precise patterning and high‐density integration, enabling the devices to operate efficiently in photovoltage mode. To address resolution degradation inherent in planar‐integrated spectral sensing architectures, we applied a super‐resolution reconstruction method, restoring images to a resolution of 640 × 512. The demonstrated capability to simultaneously capture and process multispectral data paves the way for CMOS integration, multispectral Imagers, organic photodetector, super‐resolution reconstruction applications in diverse fields, from precision agriculture to medical diagnostics and beyond.
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Research context

OpenAlex topics: Spectroscopy Techniques in Biomedical and Chemical Research · Nanowire Synthesis and Applications · CCD and CMOS Imaging Sensors

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Optics and Photonics Beijing Institute of Technology Beijing China

Yangtze Delta Region Academy of Beijing Institute of Technology Jiaxing China

XinIR Technology (Beijing) Co., LTD Beijing China

School of Optoelectronic Engineering Changchun University of Science and Technology Jilin China

College of Science Minzu University of China Beijing China

Funding

National Natural Science Foundation of China · National Key Research and Development Program of China

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