基于镧系元素传感器的多波长压缩成像和三维重建技术

IF 17.3 1区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Matter Pub Date : 2024-07-03 DOI:10.1016/j.matt.2024.04.034

Shiqi Yu , Datao Tu , Xueyuan Chen

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引用次数: 0

摘要

多波长、多通道和多深度成像技术对于研究目标物体的三维重建和综合信息表示至关重要。然而，传统技术通常受限于昂贵而笨重的组件组合。在本预览中，我们将重点介绍一种名为 "随机光致发光和压缩编码"（SPACE）的优秀成像技术。通过将四个随机排列的镧系元素换能器作为光子编码器与压缩传感重建算法相结合，该技术可实现高效的超宽带、多波长压缩成像和信息重建。

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Multi-wavelength compression imaging and 3D reconstruction based on lanthanide transducers

Multi-wavelength, multi-channel, and multi-depth imaging techniques are essential in the research of three-dimensional reconstruction and comprehensive information representation of target objects. However, traditional techniques are generally limited by cumbersome combinations of costly and bulky components. In this preview, we highlight an excellent imaging technique named “stochastic photoluminescence and compressed encoding” or SPACE. By combining four randomly arrayed lanthanide transducers as photonic encoders with a compressed sensing reconstruction algorithm, the proposed technology enables efficient ultra-broadband, multi-wavelength compression imaging and information reconstruction.

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来源期刊

Matter MATERIALS SCIENCE, MULTIDISCIPLINARY-

CiteScore

26.30

自引率

2.60%

发文量

367

期刊介绍： Matter, a monthly journal affiliated with Cell, spans the broad field of materials science from nano to macro levels,covering fundamentals to applications. Embracing groundbreaking technologies,it includes full-length research articles,reviews, perspectives,previews, opinions, personnel stories, and general editorial content. Matter aims to be the primary resource for researchers in academia and industry, inspiring the next generation of materials scientists.