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高光谱量子点图像传感器通过在像素可重构的波段对准
作者:小柯机器人 发布时间:2026/3/14 19:00:55

近日,中国民族大学唐鑫团队报道了高光谱量子点图像传感器通过在像素可重构的波段对准。2026年3月12日出版的《自然—光子学》杂志发表了这项成果。

高分辨率短波红外高光谱成像能够实现非破坏性材料识别及穿透散射介质成像,为便携式诊断、精准农业、环境监测和太空探索等变革性应用铺平了道路。然而,传统高光谱成像仪在空间分辨率、光谱分辨率和设备体积之间面临权衡。

研究组报道了一种微型化高光谱图像传感器,通过利用单片集成、偏压可重构的堆叠胶体量子点结和偏压可编程光谱重建算法,缓解了这种权衡。通过施加特定序列的单极性递增偏压,可以调控界面能带排列,从而控制不同带隙胶体量子点层中光生载流子的收集。该成像仪实现了1280×1024的空间分辨率、1纳米的光谱分辨率、0.055纳米的重建精度、超过1013琼斯的峰值探测率以及400–1700纳米的宽谱段覆盖范围,所有这些都集成在15×15微米2的紧凑像素尺寸内。高信噪比和高空间分辨率确保了高光谱图像信息的精确重建,使其能够应用于食品质量监测、化学溶剂鉴别和材料识别等领域。

附:英文原文

Title: Hyperspectral quantum-dot image sensors via in-pixel reconfigurable band-alignment

Author: Mu, Ge, Bi, Cheng, Zou, Jintao, Liu, Yanfei, Hao, Qun, Tang, Xin

Issue&Volume: 2026-03-12

Abstract: High-resolution short-wave infrared hyperspectral imaging enables non-destructive material identification and imaging through scattering media, paving the way for transformative applications in portable diagnostics, precision agriculture, environmental monitoring and space exploration. However, conventional hyperspectral imagers face a compromise between spatial resolution, spectral resolution and device footprint. Here we report a miniaturized hyperspectral image sensor that mitigates this trade-off by leveraging monolithically integrated, bias-reconfigurable stacked colloidal quantum dot junctions and a bias-programmable spectral reconstruction algorithm. By applying a defined sequence of single-polarity increasing bias voltages, the interfacial band alignment can be tuned, thus mediating the collection of photon-generated carriers in colloidal quantum dot layers with different energy gap. Our imager achieves spatial resolution of 1,280×1,024, spectral resolution of 1nm, reconstruction accuracy of 0.055nm, peak detectivity above 1013jones and broadband coverage (400–1,700nm), all within a compact pixel footprint of 15×15μm2. The high signal-to-noise ratio and spatial resolution result in accurate reconstruction of hyperspectral image information, enabling food quality monitoring, chemical solvents discrimination and materials identification.

DOI: 10.1038/s41566-026-01860-z

Source: https://www.nature.com/articles/s41566-026-01860-z

期刊信息
Nature Photonics:《自然—光子学》,创刊于2007年。隶属于施普林格·自然出版集团,最新IF:39.728