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

IR Spectroscopy: Molecular Vibration Overview01:24

IR Spectroscopy: Molecular Vibration Overview

2.8K
When Infrared (IR) radiation passes through a covalently bonded molecule, the bonds transition from lower to higher vibrational levels. The fundamental vibrational motions that result in infrared absorption can be classified as stretching or bending vibrations.
Stretching vibrations are vibrational motions that occur along the bond line, changing the bond length or distance between two bonded atoms. They are further distinguished as symmetric or asymmetric. In symmetric stretching, the...
2.8K
Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

532
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...
532
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

2.5K
Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
2.5K
Atomic Force Microscopy01:08

Atomic Force Microscopy

3.6K
Atomic force microscopy (AFM) is a type of scanning probe microscopy that can analyze topographic details of various specimens like ceramics, glass, polymers, and biological samples. AFM offers over 1000 times more resolution than the optical imaging system. Images generated from AFM are three-dimensional surface profiles, offering an advantage over the flat, two-dimensional images from other imaging techniques.
The AFM Probe
The probe is regarded as the heart of any AFM setup and comprises the...
3.6K
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

1.2K
Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
1.2K
IR Spectrometers01:25

IR Spectrometers

1.5K
There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
1.5K

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

Evolutionary applications of electrical stimulation in bone repair: bibliometric trends and temporal dynamics.

EFORT open reviews·2026
Same author

Nf2 orchestrates β-arrestin2-biased PTH1R signaling to couple bone mass with skeletal integrity.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Molecular mechanism of aloe emodin in combating nasopharyngeal carcinoma revealed through network pharmacology, molecular docking, and in vitro experiments.

Naunyn-Schmiedeberg's archives of pharmacology·2026
Same author

Roles of Ras Homolog Guanosine Triphosphate Phosphohydrolases in Adipocyte Differentiation, Insulin Signaling, and Lipid Droplet Dynamics.

The Journal of nutrition·2026
Same author

An Association of Elevated Blood Vitamin A Level and Severity of Metabolic Dysfunction-Associated Steatotic Liver Disease in Humans.

The Journal of nutrition·2026
Same author

Corrigendum to "TCF7L2 transcriptionally regulates C1QB to exacerbate synaptic pruning-dependent neuronal injury in the epileptic hippocampus" [Brain Res. Bull. 235 (2026) 111730].

Brain research bulletin·2026
Same journal

Long-term stabilization of intensity-difference squeezing from four-wave mixing in rubidium vapor.

Optics express·2026
Same journal

Robust 3D topography measurement of large-range high-aspect-ratio structures based on dual-domain statistical filtering in SD-OCT.

Optics express·2026
Same journal

Broadband transmissive terahertz metasurface for simultaneous quad-mode OAM multiplexing.

Optics express·2026
Same journal

Leveraging two-dimensional materials for high-sensitivity optical sensors: quasi-bound states in the continuum within hybrid metasurfaces.

Optics express·2026
Same journal

Resolution investigation for dual-spherical-wave optical scanning holographic microscopy: methods and performance.

Optics express·2026
Same journal

Robustness of parallel subnetwork-filtered diffractive deep neural networks.

Optics express·2026
查看所有相关文章

相关实验视频

Updated: Sep 11, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.2K

使用单光子振动计进行材料识别.

Jeevanandha Ramanathan, Malvika Garikapati, Ibsa Jalata

    Optics express
    |August 13, 2025
    PubMed
    概括
    此摘要是机器生成的。

    这项研究引入了一种单光子振动仪,用于使用时隔光子计数和机器学习进行材料识别. 该系统通过分析其独特的振动特征来准确识别材料,即使在具有挑战性的低光条件下也是如此.

    更多相关视频

    Author Spotlight: Unveiling the Potential of VSFG Microscopy in Studying Mesoscopically Heterogeneous Self-Assembled Structures
    08:49

    Author Spotlight: Unveiling the Potential of VSFG Microscopy in Studying Mesoscopically Heterogeneous Self-Assembled Structures

    Published on: December 1, 2023

    1.5K
    High Resolution Phonon-assisted Quasi-resonance Fluorescence Spectroscopy
    10:40

    High Resolution Phonon-assisted Quasi-resonance Fluorescence Spectroscopy

    Published on: June 28, 2016

    7.6K

    相关实验视频

    Last Updated: Sep 11, 2025

    Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
    08:27

    Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

    Published on: January 5, 2024

    1.2K
    Author Spotlight: Unveiling the Potential of VSFG Microscopy in Studying Mesoscopically Heterogeneous Self-Assembled Structures
    08:49

    Author Spotlight: Unveiling the Potential of VSFG Microscopy in Studying Mesoscopically Heterogeneous Self-Assembled Structures

    Published on: December 1, 2023

    1.5K
    High Resolution Phonon-assisted Quasi-resonance Fluorescence Spectroscopy
    10:40

    High Resolution Phonon-assisted Quasi-resonance Fluorescence Spectroscopy

    Published on: June 28, 2016

    7.6K

    科学领域:

    • 光子学和材料科学 材料科学
    • 机器学习应用 机器学习应用

    背景情况:

    • 准确的材料识别对于各种工业应用至关重要.
    • 现有的方法在具有低光或背景噪声的具有挑战性的环境中面临局限性.

    研究的目的:

    • 开发一种新的单光子振动仪,用于强大的材料识别.
    • 为了利用时隔光子计数和机器学习来增强传感能力.

    主要方法:

    • 使用时隔光子计数来测量反射的光子流量.
    • 采用电子扫描的门窗用于时间定位和背景抑制.
    • 在声学激发下分析材料的振动特性.
    • 应用机器学习模型,包括深度学习 (完全连接和卷积神经网络),用于分类.

    主要成果:

    • 在光子饥饿条件下证明了忠实测量.
    • 实现了高分类准确度,用于材料识别.
    • 成功捕获了材料独特的振动特征.

    结论:

    • 单光子振动仪为非破坏性测试提供了一个有前途的新工具.
    • 能够在遥感和结构健康监测中进行强大的材料识别.
    • 提出了一个可行的解决方案,用于在具有挑战性的环境中进行材料识别.