Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

241
A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...
241
Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

262
The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
However, a small fraction of the scattered light exhibits a frequency shift due to the exchange of energy between the incident photons and...
262

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

A Review of High-Sensitivity SERS-Active Photonic Crystal Fiber Sensors for Chemical and Biological Detection.

Sensors (Basel, Switzerland)·2025
Same author

Visual detection of microplastics using Raman spectroscopic imaging.

The Analyst·2023
Same author

A highly reproducible SERS sensor based on an Au nanoparticles/graphene oxide hybrid nanocomposite for label-free quantitative detection of antibiotics.

The Analyst·2021
Same author

Detection of ethyl carbamate in liquors using surface-enhanced Raman spectroscopy.

Royal Society open science·2019
Same author

Impact of light irradiation on black tea quality during withering.

Journal of food science and technology·2017
Same author

Significant retrieval of lost evanescent power by tuning modes close-to-cutoff with a gel-coated taper.

Optics letters·2011

相关实验视频

Updated: May 10, 2025

Combining Raman Imaging and Multivariate Analysis to Visualize Lignin, Cellulose, and Hemicellulose in the Plant Cell Wall
07:51

Combining Raman Imaging and Multivariate Analysis to Visualize Lignin, Cellulose, and Hemicellulose in the Plant Cell Wall

Published on: June 10, 2017

11.8K

拉曼成像公司的识别和可视化织纤维.

Kaili Liu1, Huacai Chen1

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

Materials (Basel, Switzerland)
|April 24, 2025
PubMed
概括

拉曼光谱成像可视化了织纤维的分布,有助于法医科学. 这种技术可以准确地识别单一,混合和染色的纤维,增强证据分析.

科学领域:

  • 法医科学 法医科学 法医科学
  • 材料科学 材料科学 材料科学
  • 频谱学是一种光谱学.

背景情况:

  • 织纤维在法医调查中至关重要,因为它们的常用和转移.
  • 对织纤维的准确表征对于法医证据分析至关重要.
  • 现有的方法在区分复杂的纤维成分方面可能面临挑战.

研究的目的:

  • 为了证明拉曼光谱成像用于可视化织纤维的能力.
  • 为了识别单元,多元和染色混合纤维.
  • 探索用于增强纤维特征的先进成像技术.

主要方法:

  • 使用拉曼光谱成像来捕获织纤维的光谱数据.
  • 应用成像技术可视化不同纤维类型的空间分布.
  • 来自非聚焦平面的综合数据,以改善视觉识别.

主要成果:

  • 在一个单一区域内成功可视化了各种织纤维的空间分布.
  • 实现了单元,多元和染色混合纤维的准确识别.
  • 通过合并非聚焦平面的图像来证明增强的识别,帮助分析复杂的纤维形态.

结论:

关键词:
拉曼光谱法 拉曼光谱法 拉曼光谱法织纤维的使用方法

更多相关视频

Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy
13:48

Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy

Published on: May 29, 2012

16.9K
Microfluidic Dry-spinning and Characterization of Regenerated Silk Fibroin Fibers
08:28

Microfluidic Dry-spinning and Characterization of Regenerated Silk Fibroin Fibers

Published on: September 4, 2017

9.7K

相关实验视频

Last Updated: May 10, 2025

Combining Raman Imaging and Multivariate Analysis to Visualize Lignin, Cellulose, and Hemicellulose in the Plant Cell Wall
07:51

Combining Raman Imaging and Multivariate Analysis to Visualize Lignin, Cellulose, and Hemicellulose in the Plant Cell Wall

Published on: June 10, 2017

11.8K
Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy
13:48

Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy

Published on: May 29, 2012

16.9K
Microfluidic Dry-spinning and Characterization of Regenerated Silk Fibroin Fibers
08:28

Microfluidic Dry-spinning and Characterization of Regenerated Silk Fibroin Fibers

Published on: September 4, 2017

9.7K
  • 拉曼光谱成像是可视化和识别各种织纤维的有效工具.
  • 该技术为法医鉴定纤维提供了先进的可能性,包括具有复杂结构的纤维.
  • 这种方法增强了法医科学中用于纤维证据的分析能力.