• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

微钙化化学成像中压缩拉曼与高光谱拉曼的评估。

Assessment of Compressive Raman versus Hyperspectral Raman for Microcalcification Chemical Imaging.

机构信息

Aix Marseille Univ , CNRS, Centrale Marseille, Institut Fresnel , Marseille , France.

Département de Physique , Ecole Normale Supérieure/PSL Research University, CNRS , 24 rue Lhomond , 75005 Paris , France.

出版信息

Anal Chem. 2018 Jun 19;90(12):7197-7203. doi: 10.1021/acs.analchem.7b05303. Epub 2018 May 25.

DOI:10.1021/acs.analchem.7b05303
PMID:29761698
Abstract

We experimentally implement a compressive Raman technology (CRT) that incorporates chemometric analysis directly into the spectrometer hardware by means of a digital micromirror device (DMD). The DMD is a programmable optical filter on which optimized binary filters are displayed. The latter are generated with an algorithm based on the Cramer-Rao lower bound. We compared the developed CRT microspectrometer with two conventional state-of-the-art Raman hyperspectral imaging systems on samples mimicking microcalcifications relevant for breast cancer diagnosis. The CRT limit of detection significantly improves, when compared to the CCD based system, and CRT ultimately allows 100× and 10× faster acquisition speeds than the CCD- and EMCCD-based systems, respectively.

摘要

我们通过数字微镜器件(DMD)将化学计量分析直接纳入光谱仪硬件,实验性地实现了压缩拉曼技术(CRT)。DMD 是一种可编程光学滤波器,可在其上显示优化的二进制滤波器。后者是使用基于克拉美罗下限的算法生成的。我们将开发的 CRT 微光谱仪与两个模拟乳腺癌诊断相关的微钙化的常规最先进的拉曼高光谱成像系统进行了比较。与基于 CCD 的系统相比,CRT 的检测限有了显著提高,并且 CRT 最终允许比基于 CCD 和 EMCCD 的系统分别快 100 倍和 10 倍的采集速度。

相似文献

1
Assessment of Compressive Raman versus Hyperspectral Raman for Microcalcification Chemical Imaging.微钙化化学成像中压缩拉曼与高光谱拉曼的评估。
Anal Chem. 2018 Jun 19;90(12):7197-7203. doi: 10.1021/acs.analchem.7b05303. Epub 2018 May 25.
2
Recent Trends in Compressive Raman Spectroscopy Using DMD-Based Binary Detection.基于数字微镜器件(DMD)二元检测的压缩拉曼光谱学的最新趋势
J Imaging. 2018 Dec 21;5(1):1. doi: 10.3390/jimaging5010001.
3
Binary Complementary Filters for Compressive Raman Spectroscopy.二进制互补滤波器在压缩拉曼光谱中的应用。
Appl Spectrosc. 2018 Jan;72(1):69-78. doi: 10.1177/0003702817732324. Epub 2017 Nov 7.
4
Photon level chemical classification using digital compressive detection.基于数字压缩检测的光子层面化学分类。
Anal Chim Acta. 2012 Nov 28;755:17-27. doi: 10.1016/j.aca.2012.10.005. Epub 2012 Oct 12.
5
Microcalcification-Based Tumor Malignancy Evaluation in Fresh Breast Biopsies with Hyperspectral Stimulated Raman Scattering.基于微钙化的新鲜乳腺活检组织中肿瘤恶性程度评估的高光谱受激拉曼散射技术
Anal Chem. 2021 Apr 20;93(15):6223-6231. doi: 10.1021/acs.analchem.1c00522. Epub 2021 Apr 7.
6
Multivariate hyperspectral Raman imaging using compressive detection.基于压缩检测的多元高光谱拉曼成像
Anal Chem. 2011 Jul 1;83(13):5086-92. doi: 10.1021/ac103259v. Epub 2011 Jun 3.
7
Detection of clustered microcalcifications in small field digital mammography.小视野数字乳腺摄影中簇状微钙化的检测
Comput Methods Programs Biomed. 2006 Jan;81(1):56-65. doi: 10.1016/j.cmpb.2005.10.002. Epub 2005 Nov 28.
8
Pursuing shell-isolated nanoparticle-enhanced Raman spectroscopy (SHINERS) for concomitant detection of breast lesions and microcalcifications.采用壳层隔离纳米粒子增强拉曼光谱法(SHINERS)同时检测乳腺病变和微钙化。
Nanoscale. 2015 Oct 28;7(40):16960-8. doi: 10.1039/c5nr05319f.
9
Segmentation for the enhancement of microcalcifications in digital mammograms.用于增强数字乳腺X线摄影中微钙化的分割。
Technol Health Care. 2014;22(5):701-15. doi: 10.3233/THC-140841.
10
A rapidly modulated multifocal detection scheme for parallel acquisition of Raman spectra from a 2-D focal array.一种快速调制的多焦点检测方案,用于从 2-D 焦平面阵列中并行获取拉曼光谱。
Anal Chem. 2014 Jul 1;86(13):6604-9. doi: 10.1021/ac5012188. Epub 2014 Jun 13.

引用本文的文献

1
Computational field-resolved coherent chemical imaging.计算场分辨相干化学成像
Nat Commun. 2025 Aug 11;16(1):7406. doi: 10.1038/s41467-025-62716-8.
2
Concurrent oxygen evolution reaction pathways revealed by high-speed compressive Raman imaging.高速压缩拉曼成像揭示的并行析氧反应途径
Nat Commun. 2024 Sep 27;15(1):8362. doi: 10.1038/s41467-024-52536-7.
3
Neural Network-Based Filter Design for Compressive Raman Classification of Cells.基于神经网络的细胞压缩拉曼分类滤波器设计。
J Chem Inf Model. 2024 Jul 22;64(14):5402-5412. doi: 10.1021/acs.jcim.3c01856. Epub 2024 Jul 3.
4
Fast compressive Raman micro-spectroscopy to image and classify microplastics from natural marine environment.快速压缩拉曼显微光谱法用于对天然海洋环境中的微塑料进行成像和分类。
Environ Technol Innov. 2024 May;34:103622. doi: 10.1016/j.eti.2024.103622.
5
Electronically Preresonant Stimulated Raman Scattering Microscopy of Weakly Fluorescing Chromophores.电子预共振受激拉曼散射显微镜观察弱荧光发色团。
J Phys Chem B. 2023 Jul 13;127(27):6029-6037. doi: 10.1021/acs.jpcb.3c01407. Epub 2023 Jul 5.
6
Unsupervised segmentation of biomedical hyperspectral image data: tackling high dimensionality with convolutional autoencoders.生物医学高光谱图像数据的无监督分割:使用卷积自动编码器解决高维度问题。
Biomed Opt Express. 2022 Nov 10;13(12):6373-6388. doi: 10.1364/BOE.476233. eCollection 2022 Dec 1.
7
Recent Trends in Compressive Raman Spectroscopy Using DMD-Based Binary Detection.基于数字微镜器件(DMD)二元检测的压缩拉曼光谱学的最新趋势
J Imaging. 2018 Dec 21;5(1):1. doi: 10.3390/jimaging5010001.
8
Diagnostic prospects and preclinical development of optical technologies using gold nanostructure contrast agents to boost endogenous tissue contrast.利用金纳米结构造影剂增强内源性组织对比度的光学技术的诊断前景与临床前开发。
Chem Sci. 2020 Jul 14;11(33):8671-8685. doi: 10.1039/d0sc01926g.
9
Imaging and quantifying drug delivery in skin - Part 2: Fluorescence andvibrational spectroscopic imaging methods.在皮肤中成像和定量药物输送 - 第 2 部分:荧光和振动光谱成像方法。
Adv Drug Deliv Rev. 2020 Jan 1;153:147-168. doi: 10.1016/j.addr.2020.03.003. Epub 2020 Mar 23.
10
Spatial light-modulated stimulated Raman scattering (SLM-SRS) microscopy for rapid multiplexed vibrational imaging.基于空间光调制的受激拉曼散射(SLM-SRS)显微镜用于快速多重振动成像。
Theranostics. 2020 Jan 1;10(1):312-322. doi: 10.7150/thno.38551. eCollection 2020.