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

245
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...
245
Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview01:02

Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview

2.4K
Ultraviolet–visible (UV–visible or UV–Vis) spectroscopy is an analytical technique that investigates the interaction between matter and UV–Vis light within the electromagnetic spectrum. This method is widely used for its versatility, simplicity, and relatively quick data acquisition, making it valuable for both qualitative and quantitative analysis. When UV–Vis radiation passes through a material,  molecules absorb light depending on the energy required for...
2.4K
Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

266
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...
266
Spectrophotometry: Introduction01:16

Spectrophotometry: Introduction

2.8K
Spectrophotometry is the quantitative measurement of the absorption, reflection, diffraction, or transmission of electromagnetic radiation through a material as a function of the intensity and wavelength of the radiation. A spectrophotometer is a device used to measure the change in the radiation intensity caused by its interaction with the material.
The essential components of a spectrophotometer include a source of electromagnetic radiation, a slot for placing a material to be analyzed, and a...
2.8K
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

926
Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
926
NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

592
When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
592

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

Maternal experience alters brain-wide representation of infant cries.

bioRxiv : the preprint server for biology·2026
Same author

Dissecting the Strain and Sex Specific Connectome Signatures of Unanesthetized C57BL/6J and DBA/2J Mice Using Magnetic Resonance Imaging.

Genes, brain, and behavior·2026
Same author

ReflectoRNN: AI-Enabled In-Operando Optical Reflectometry for Evolving Materials Using a Recurrent Neural Network.

ACS nano·2026
Same author

RIPK 1 in Alzheimer's Disease: Research Progress Integrating Pathogenesis on Necroptosis-Related Neuroinflammation, and Potential Therapeutic Strategies.

Biomedicines·2026
Same author

Synthesis and Evaluation of a PET Radiotracer [<sup>18</sup>F]LY3000328 Selectively Targeting the Cysteine Protease Cathepsin S.

ACS chemical neuroscience·2026
Same author

Intracellular protein GBF1 displays significant associations with amyloid pathology in Alzheimer's disease.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026

相关实验视频

Updated: May 13, 2025

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
06:50

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression

Published on: November 8, 2019

6.5K

机器学习解释光学光谱学使用高峰敏感物流回归.

Ziyang Wang1, Jeewan C Ranasinghe1, Wenjing Wu1,2

  • 1Department of Electrical and Computer Engineering, Rice University, Houston, Texas 77005, United States.

ACS nano
|April 15, 2025
PubMed
概括

一个新的机器学习算法,PSE-LR,通过提供清晰的特征重要性地图来增强光学光谱分析,用于材料和生物样本识别. 这种方法提高了复杂光谱数据的准确性和可解释性.

关键词:
生物医学传感传感器重要的特征 重要的特征 重要的特征机器学习是机器学习.纳米材料的使用方法光学光谱学是指光学光谱学.频谱可解释性 频谱可解释性

更多相关视频

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
07:11

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

Published on: August 19, 2021

2.3K
Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
10:25

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements

Published on: June 28, 2016

10.5K

相关实验视频

Last Updated: May 13, 2025

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
06:50

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression

Published on: November 8, 2019

6.5K
ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
07:11

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

Published on: August 19, 2021

2.3K
Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
10:25

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements

Published on: June 28, 2016

10.5K

科学领域:

  • 光谱学和光谱仪学
  • 机器学习应用 机器学习应用
  • 材料科学 材料科学 材料科学

背景情况:

  • 光学光谱学为材料和生物样本分析提供了丰富的数据,但面临着解释挑战.
  • 机器学习 (ML) 有助于光谱分析,但往往缺乏明确的特征重要性地图.
  • 现有的ML方法与光谱噪声,模型复杂性和光谱学特定优化作斗争.

研究的目的:

  • 引入一种新的ML算法,即逻辑回归与峰值敏感弹性网规范化 (PSE-LR),用于增强的光谱分析.
  • 提高光学光谱学中的分类准确性和可解释性.
  • 开发一种方法,为光谱数据生成高峰敏感特征重要性图.

主要方法:

  • 开发了PSE-LR,这是一个逻辑回归模型,具有峰值敏感弹性网规范化.
  • 应用了PSE-LR来分析拉曼和光发光 (PL) 光谱.
  • 与KNN,E-LR,SVM,PCA-LDA,XGBoost和NN相比,PSE-LR的性能进行了比较.

主要成果:

  • 通过PSE-LR获得F1得分为0.93和特征灵敏度为1.0.
  • 在超低度下成功检测到SARS-CoV-2尖端蛋白的RBD.
  • 在大脑样本中识别了神经保护溶液 (NPS) 和特征的WS2/WSe2异构结构.
  • 分析了阿尔茨海默病 (AD) 的大脑,并确定了潜在的生物标志物.

结论:

  • PSE-LR有效地检测到微妙的光谱特征,并生成可解释的重要性图.
  • 该算法对使用光谱学进行材料,分子和生物样本表征是有益的.
  • PSE-LR促进了先进的纳米设备的开发,如纳米传感器和微型光谱仪.