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相关概念视频

Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

450
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...
450
Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

443
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...
443
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

566
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
566
IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration01:16

IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration

1.4K
A covalently bonded heteronuclear diatomic molecule can be modeled as two vibrating masses connected by a spring. The vibrational frequency of the bond can be expressed using an equation derived from Hooke's law, which describes how the force applied to stretch or compress a spring is proportional to the displacement of the spring. In this case, the atoms behave like masses, and the bond acts like a spring.
According to Hooke's law, the vibrational frequency is directly proportional to...
1.4K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

79
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
79
Compacting Factor test01:22

Compacting Factor test

185
The compacting factor test is a method used to assess the workability of concrete. It is  especially suitable for concrete mixes containing aggregates up to one and a half inches in size. This test involves specialized equipment consisting of two truncated cone-shaped hoppers and a cylinder, all with polished interior surfaces to minimize friction.
The procedure begins by placing concrete into the upper hopper without any compaction. Once filled, the bottom door of this hopper is opened,...
185

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相关实验视频

Updated: Jul 16, 2025

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach
09:32

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach

Published on: September 26, 2019

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拉曼CMP:一种基于轻量级模型和模型压缩技术的拉曼光谱分类加速方法.

Zengyun Gong1, Chen Chen2, Cheng Chen1

  • 1College of Software, Xinjiang University, Urumqi, 830046, Xinjiang, China.

Analytica chimica acta
|September 14, 2023
PubMed
概括

这项研究优化了使用轻量级架构和压缩进行拉曼光谱的深度学习模型,显著提高了矿物识别的分类速度和准确性. 拉曼契约 (RamanCMP) 框架提高了效率,而不会牺牲性能.

关键词:
轻量级的模型轻量级的模型模型的压缩压缩.拉曼光谱法 拉曼光谱法 拉曼光谱法拉曼 拉曼CMP 拉曼CMP 拉曼

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Combining Raman Imaging and Multivariate Analysis to Visualize Lignin, Cellulose, and Hemicellulose in the Plant Cell Wall
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Ultrafast Time-resolved Near-IR Stimulated Raman Measurements of Functional π-conjugate Systems
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Ultrafast Time-resolved Near-IR Stimulated Raman Measurements of Functional π-conjugate Systems

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相关实验视频

Last Updated: Jul 16, 2025

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach
09:32

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach

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

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Ultrafast Time-resolved Near-IR Stimulated Raman Measurements of Functional π-conjugate Systems
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Ultrafast Time-resolved Near-IR Stimulated Raman Measurements of Functional π-conjugate Systems

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科学领域:

  • 频谱学是一种光谱学.
  • 机器学习 机器学习
  • 矿物学是什么?矿物学是什么?

背景情况:

  • 拉曼光谱越来越多地用于医学,化学和地质领域.
  • 为了有效处理拉曼光谱数据,需要优化深度学习技术和模型压缩.

研究的目的:

  • 为拉曼光谱学优化深度学习模型,使用时间,精度,灵敏度,特异性和FLOP等指标.
  • 开发一个名为RamanCompact (RamanCMP) 的框架,用于高效的拉曼光谱数据分析.

主要方法:

  • 拟议的1D-EfficientNet和1D-DRSN模型适用于光谱数据.
  • 实施了三种模型压缩方法:知识蒸,通道转换和用线性差异分析 (LDA) 进行特征提取.
  • 使用RRUFF公共数据集,包括来自10种矿物质类别的723个拉曼光谱样本.

主要成果:

  • 与传统的LDA和CNN模型相比,1D-EfficientNet和1D-DRSN模型的准确性提高了20%以上.
  • 知识蒸将模型时间减少了9680.9s,精度损失为2.07%,精度比CNN学生模型提高了20%.
  • 优化道转换的1D-DRSN节省了60%的推断时间;特征提取减少了93%的推断时间,同时保持了94.48%的准确性.

结论:

  • 该研究成功地结合了轻量级模型和模型压缩,以提高拉曼光谱的深度学习分类速度.
  • 开发的RamanCompact (RamanCMP) 框架为高效的拉曼光谱分析提供了一个全面的方法.
  • 这项工作为未来的研究奠定了基础,为光谱应用优化深度学习.