In-sensor multispectral perception for near- and mid-infrared discrimination

Multispectral features across visible (Vis), near-infrared (NIR) and mid-infrared (MIR) provide complementary information for intelligent vision in challenging environments. Precise extraction of multispectral features within the sensor level becomes increasingly critical, yet remains elusive for next-generation vision systems. Here we report a multispectral sensor constructed by a MoTe2/BP heterojunction with gate-tunable band alignments between type-Ⅰ and type-Ⅱ, enabling bipolar Vis/NIR (473 ~ 1064 nm) and unipolar MIR (3.7 and 4.6 μm) responses under zero bias for in-sensor Vis/NIR convolution and MIR target recognition. Beyond single-device operation, a 9×1 linear array validates device uniformity and preliminary array-level feasibility. Furthermore, the multispectral sensor extracts crosstalk-free Vis/NIR and MIR features under co-illumination of 980-nm and 3.7-μm light, increasing recognition accuracy from 28% to 84% in reconstructed system-level demonstrations. By fully leveraging the tunable 2D-material band structure, this work demonstrates a universal sensor configuration for multispectral perception with in-sensor processing functions. Achieving precise extraction of multispectral features is a critical bottleneck for next-generation vision systems. Fang et al. report a multispectral sensor that distinguishes input light in the visible/near-infrared ranges from that in the mid-infrared range at the sensor level, enabling in-sensor multispectral processing.

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Publication Details

Journal
Nature Communications
Published
2026-09-01
DOI
https://doi.org/10.1038/s41467-026-77260-2
Primary Topic
2D Materials and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

In-sensor multispectral perception for near- and mid-infrared discrimination

Shi Fang, Qijie Wang, Hui Ma, Jinyang Huang et al.
Nature Communications
2D Materials and Applications
article

In-sensor multispectral perception for near- and mid-infrared discrimination

Shi Fang, Qijie Wang, Hui Ma, Jinyang Huang, Jianbo Yu, Chongwu Wang, Zhenhan Zhang, Fakun Wang, Chao Han, Fengqi Cui, Wenduo Chen
article en

Abstract

Multispectral features across visible (Vis), near-infrared (NIR) and mid-infrared (MIR) provide complementary information for intelligent vision in challenging environments. Precise extraction of multispectral features within the sensor level becomes increasingly critical, yet remains elusive for next-generation vision systems. Here we report a multispectral sensor constructed by a MoTe2/BP heterojunction with gate-tunable band alignments between type-Ⅰ and type-Ⅱ, enabling bipolar Vis/NIR (473 ~ 1064 nm) and unipolar MIR (3.7 and 4.6 μm) responses under zero bias for in-sensor Vis/NIR convolution and MIR target recognition. Beyond single-device operation, a 9×1 linear array validates device uniformity and preliminary array-level feasibility. Furthermore, the multispectral sensor extracts crosstalk-free Vis/NIR and MIR features under co-illumination of 980-nm and 3.7-μm light, increasing recognition accuracy from 28% to 84% in reconstructed system-level demonstrations. By fully leveraging the tunable 2D-material band structure, this work demonstrates a universal sensor configuration for multispectral perception with in-sensor processing functions. Achieving precise extraction of multispectral features is a critical bottleneck for next-generation vision systems. Fang et al. report a multispectral sensor that distinguishes input light in the visible/near-infrared ranges from that in the mid-infrared range at the sensor level, enabling in-sensor multispectral processing.

Nature Communications
University of Science and Technology of China (CN), Hefei University of Technology (CN), Nanyang Technological University (SG), Huazhong University of Science and Technology (CN)
National Research Foundation
Reduced inequalities
Openalex Percentile: Top 24%
2D Materials and Applications
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