Research on Image Mapping Spectrometer Based on Ultra-Thin Glass Layered Mapping

Author:

Zhou Pengwei1,Lv Yangfan1,Zhou Jiamin1,Zheng Yuqi1

Affiliation:

1. College of Optical and Electronic Technology, China Jiliang University, Hangzhou 310018, China

Abstract

The imaging quality of the Mapping Imaging Spectrometer (IMS) is crucial for spectral identification and detection performance. In IMS, the image mapper significantly influences the imaging quality. Traditional image mappers utilize a single-point diamond machining process. This process leads to inevitable edge eating phenomena that further results in noticeable deficiencies in imaging, impacting spectral detection performance. Therefore, we propose a manufacturing process for the image mapper based on ultra-thin layered glass. This process involves precision polishing of ultra-thin glass with two-dimensional angles, systematically assembling it into an image mapper. The surface roughness after coating is generally superior to 10 nm, with a maximum angle deviation of less than 3′. This results in high mapping quality. Subsequently, a principle verification experimental system was established to conduct imaging tests on real targets. The reconstructed spectrum demonstrates excellent alignment with the results obtained from the Computed Tomography Imaging Spectrometer (CTIS). We thereby validate that this approach effectively resolves the issues associated with edge eating (caused by traditional single-point diamond machining), and leads to improved imaging quality. Also when compared to other techniques (like two-photon polymerization (2PP)), this process demonstrates notable advantages such as simplicity, efficiency, low processing costs, high fault tolerance, and stability, showcasing its potential for practical applications.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Fundamental Research Funds for the Provincial Universities of Zhejiang

Key Laboratory of Marine Environmental Survey Technology and Application, Ministry of Natural Resources

Publisher

MDPI AG

Reference23 articles.

1. Compact snapshot image mapping spectrometer for unmanned aerial vehicle hyperspectral imaging;Dwight;J. Appl. Remote Sens.,2018

2. Multimodal snapshot spectral imaging for oral cancer diagnostics: A pilot study;Bedard;Biomed. Opt. Express,2013

3. Snapshot hyperspectral retinal camera with the Image Mapping Spectrometer (IMS);Gao;Biomed. Opt. Express,2012

4. Kester, R.T., Walker, C., and Hagen, N. (2012). Imaging and Applied Optics Technical Papers, Optica Publishing Group.

5. Jones, J.C., Hagen, N., Henderson, J., Kudenov, M., and Rowlands, A. (2015). Snapshot Spectral Imaging Technologies for On-Site Inspection, Sandia National Lab. Technical Report.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3