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

Photoluminescence: Applications01:14

Photoluminescence: Applications

379
Photoluminescence offers a wide range of applications due to its inherent sensitivity and selectivity. This technique allows for both direct and indirect analyses of the analyte. Direct quantitative analysis is possible when the analyte exhibits a favorable quantum yield for fluorescence or phosphorescence. However, an indirect analysis may be feasible if the analyte is not fluorescent or phosphorescent, or if the quantum yield is unfavorable. Indirect methods include reacting the analyte with...
379
Fluorescence and Phosphorescence: Instrumentation01:25

Fluorescence and Phosphorescence: Instrumentation

544
Fluorometers and spectrofluorometers are two types of instruments used for measuring molecular fluorescence. These instruments differ in how they select excitation and emission wavelengths and the type of light sources they utilize. Fluorometers use absorption interference filters to choose excitation and emission wavelengths. The excitation source in a fluorometer is typically a low-pressure mercury vapor lamp that emits intense lines distributed throughout the ultraviolet and visible regions.
544
Photoluminescence: Fluorescence and Phosphorescence01:23

Photoluminescence: Fluorescence and Phosphorescence

1.6K
Photoluminescence is a process where a molecule absorbs light energy and re-emits it in the form of light. This phenomenon occurs when a substance absorbs photons, promoting its electrons to higher energy level excited states, followed by a relaxation process in which the electrons return to their original ground state energy levels and emit light. Photoluminescence is widely observed in various materials, including semiconductors, and organic and inorganic compounds.
A pair of electrons in a...
1.6K
Variables Affecting Phosphorescence and Fluorescence01:26

Variables Affecting Phosphorescence and Fluorescence

489
Fluorescence and phosphorescence are essential phenomena in fields like analytical chemistry, biological imaging, and materials science, where they detect molecular properties and visualize cellular structures. Understanding the variables that influence these luminescent behaviors is crucial for maximizing accuracy and efficiency in their applications. These variables can broadly be grouped into chemical structure, solvent properties, and external conditions, each playing a distinct role in...
489

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

Transcriptomic analysis of tissue-resident memory T cells of the fallopian tube reveals a precursor immune surveillance network for ovarian cancer prevention.

Nature communications·2026
Same author

Modulation of the optical properties of thiazolinochlorin compounds by the regioselective introduction of aryl(ethynyl) substituents.

Organic & biomolecular chemistry·2026
Same author

Feasibility and Short-Term Outcomes of an endoCUT-Based Non-Ligation Cervical Conization Strategy: A Single-Center Retrospective Study.

The journal of obstetrics and gynaecology research·2026
Same author

Essential Kampo Formulas for General Clinicians Managing Female-Specific Conditions: A Nationwide Survey of Obstetricians and Gynecologists in Japan.

The journal of obstetrics and gynaecology research·2026
Same author

Blue-Green Emitting Phosphor Ba<sub>2</sub>LiAlSi<sub>2</sub>O<sub>8</sub>:Eu<sup>2<b>+</b></sup> for Phosphor-Converted Light-Emitting Diodes via Single-Particle Diagnosis in a Quasi-Quaternary System.

ACS applied materials & interfaces·2026
Same author

[A Case of Epithelioid-Type Small Intestinal Gastrointestinal Stromal Tumor with Positive PDGFRA Discovered Because of Small Intestinal Intussusception].

Gan to kagaku ryoho. Cancer & chemotherapy·2026

相关实验视频

Updated: Jun 7, 2025

Low-energy Cathodoluminescence for OxyNitride Phosphors
07:03

Low-energy Cathodoluminescence for OxyNitride Phosphors

Published on: November 15, 2016

10.6K

通过将实验与机器学习相结合,探索新的有用.

Takashi Takeda1, Yukinori Koyama2, Hidekazu Ikeno3

  • 1Research Center for Electronic and Optical Materials, National Institute for Materials Science (NIMS), Tsukuba, Japan.

Science and technology of advanced materials
|November 11, 2024
PubMed
概括

通过将计算科学与机器学习相结合,加速了用于照明和显示的新光的开发. 这种方法加快了发现具有所需发光性质的新型材料的速度.

关键词:
酸是一种.欧洲联盟 (europium) 是一个欧洲联盟.高通量实验的高通量实验地方结构 地方结构.机器学习是机器学习.

更多相关视频

An Optimized Single-Molecule Pull-Down Assay for Quantification of Protein Phosphorylation
07:45

An Optimized Single-Molecule Pull-Down Assay for Quantification of Protein Phosphorylation

Published on: June 6, 2022

2.8K
High Resolution Phonon-assisted Quasi-resonance Fluorescence Spectroscopy
10:40

High Resolution Phonon-assisted Quasi-resonance Fluorescence Spectroscopy

Published on: June 28, 2016

7.5K

相关实验视频

Last Updated: Jun 7, 2025

Low-energy Cathodoluminescence for OxyNitride Phosphors
07:03

Low-energy Cathodoluminescence for OxyNitride Phosphors

Published on: November 15, 2016

10.6K
An Optimized Single-Molecule Pull-Down Assay for Quantification of Protein Phosphorylation
07:45

An Optimized Single-Molecule Pull-Down Assay for Quantification of Protein Phosphorylation

Published on: June 6, 2022

2.8K
High Resolution Phonon-assisted Quasi-resonance Fluorescence Spectroscopy
10:40

High Resolution Phonon-assisted Quasi-resonance Fluorescence Spectroscopy

Published on: June 28, 2016

7.5K

科学领域:

  • 材料科学 材料科学 材料科学
  • 固态物理 固态物理
  • 计算化学计算化学

背景情况:

  • 固态照明和显示器的进步需要不断开发新的光剂.
  • 发现新的传统方法依赖于耗时的试错实验.
  • 计算方法可以显著加快识别有前途的候选物.

研究的目的:

  • 探索一种更实用,更有效的方法来开发具有有针对性的发光性质的新光体.
  • 为了研究计算科学和机器学习在发现中的整合.
  • 识别具有理想光学特性的新化合物和晶体结构.

主要方法:

  • 结合实验调查与机器学习算法.
  • 专注于关键的发光特性:发射波长,半最大时全宽度 (FWHM) 和热火.
  • 利用高通量实验来快速选潜在的候选人.
  • 探索宿主的新化学成分和晶体结构.

主要成果:

  • 机器学习模型可以预测的特性,减少实验时间.
  • 计算和实验方法的整合使得能够更快地发现新的.
  • 识别具有量身定制的排放特征的潜在新候选物.

结论:

  • 结合计算科学和机器学习,可以更快地开发新的.
  • 这种综合方法可以导致发现意想不到和被忽视的化合物.
  • 该方法对推进固态照明和显示技术充满希望.