Jove
Visualize
联系我们

相关概念视频

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

679
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
679
Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

1.4K
When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
Different compounds display unique properties due to their...
1.4K
IR Spectrum01:19

IR Spectrum

877
When infrared (IR) radiation passes through a molecule, the bonds stretch or bend by absorbing the radiation. This absorption creates the molecule's absorption spectrum, which is the plot of its percentage transmittance versus wavenumber.
Transmittance is defined as the ratio of the radiant power passing through a sample to that from the radiation's source. Multiplying the transmittance by 100 gives the percent transmittance (%T), which varies between 100% (no absorption) and 0%...
877
IR Spectrometers01:25

IR Spectrometers

1.1K
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...
1.1K
Applications of IR Spectroscopy: Overview01:11

Applications of IR Spectroscopy: Overview

442
The non-destructive nature and ability to provide valuable chemical information make IR spectroscopy a versatile technique with broad applications in various scientific and industrial fields. IR spectroscopy is commonly used to identify and characterize organic and inorganic compounds. It provides information about the functional groups present in a molecule and the bonding between atoms. This helps in the structural elucidation of compounds during organic synthesis, pharmaceutical research,...
442
IR and UV–Vis Spectroscopy of Aldehydes and Ketones01:29

IR and UV–Vis Spectroscopy of Aldehydes and Ketones

5.1K
Infrared spectroscopy, also known as vibrational spectroscopy, is mainly used to determine the types of bonds and functional groups in molecules. In aldehydes and ketones, the carbonyl (C=O) bond shows an absorption around 1710 cm-1. The C=O bond vibration of an aldehyde occurs at lower frequencies than that of a ketone. In addition to the C=O absorption in an aldehyde, the aldehydic C–H bond also gives two peaks in the 2700–2800 cm-1 range. This absorption, coupled with the...
5.1K

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

Synthetic blood-based infrared molecular fingerprints: artificial cohorts for methodological research.

Analytical methods : advancing methods and applications·2026
Same author

Correction to "Bridging Spectral Gaps: Cross-Device Model Generalization in Blood-Based Infrared Spectroscopy".

Analytical chemistry·2025
Same author

Bridging Spectral Gaps: Cross-Device Model Generalization in Blood-Based Infrared Spectroscopy.

Analytical chemistry·2025
Same author

Electric-Field Molecular Fingerprinting to Probe Cancer.

ACS central science·2025
Same author

Correction: Assessing lung cancer progression and survival with infrared spectroscopy of blood serum.

BMC medicine·2025
Same author

Assessing lung cancer progression and survival with infrared spectroscopy of blood serum.

BMC medicine·2025
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

相关实验视频

Updated: May 20, 2025

High-definition Fourier Transform Infrared FT-IR Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology
11:05

High-definition Fourier Transform Infrared FT-IR Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology

Published on: January 21, 2015

33.1K

通过无监督深度学习,实现基于血液的红外光谱的信息代表.

Corinna Wegner1, Zita I Zarandy1,2,3, Nico Feiler1,2

  • 1Chair of Experimental Physics-Laser Physics, Ludwig-Maximilians-Universität München (LMU), Garching, Germany.

Journal of biophotonics
|March 25, 2025
PubMed
概括
此摘要是机器生成的。

无监督的深度学习使用无效的自编码器凝结红外血谱. 这种方法通过改善分子数据表示来提高肺癌检测准确度.

关键词:
生物标志物 生物标志物深度学习是一种深度学习.疾病诊断 疾病诊断红外光谱学 红外光谱学液体活检是液体活检.

更多相关视频

Characterization of Biological Absorption Spectra Spanning the Visible to the Short-Wave Infrared
07:38

Characterization of Biological Absorption Spectra Spanning the Visible to the Short-Wave Infrared

Published on: January 10, 2025

968
Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

8.9K

相关实验视频

Last Updated: May 20, 2025

High-definition Fourier Transform Infrared FT-IR Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology
11:05

High-definition Fourier Transform Infrared FT-IR Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology

Published on: January 21, 2015

33.1K
Characterization of Biological Absorption Spectra Spanning the Visible to the Short-Wave Infrared
07:38

Characterization of Biological Absorption Spectra Spanning the Visible to the Short-Wave Infrared

Published on: January 10, 2025

968
Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

8.9K

科学领域:

  • 生物医学工程 生物医学工程
  • 计算生物学 计算生物学
  • 频谱学是一种光谱学.

背景情况:

  • 人类血液的红外分子指纹含有复杂的信息.
  • 从光谱数据中提取有意义的诊断生物标志物是一项挑战.
  • 目前的方法可能会在降噪和数据维度方面遇到困难.

研究的目的:

  • 开发一种深度学习模型,用于红外血谱的低维表示.
  • 为了研究这种表示对于肺癌检测的实用性.
  • 提高光谱数据分析的准确性和可解释性.

主要方法:

  • 采用完全卷积的无色化自编码器用于福里埃变换红外光谱 (FTIR) 数据.
  • 采用瓶架构和定制损失功能来降低噪音和保存信息.
  • 将该方法应用于肺癌检测的病例控制研究.

主要成果:

  • 从复杂的FTIR光谱中成功生成了一个低维的潜空间.
  • 证明有效的降噪,同时保留关键的分子信息.
  • 在肺癌检测准确度方面取得了2.6个百分点的改善.

结论:

  • 无监督深度学习为分析红外分子指纹提供了强大的方法.
  • 开发的自编码器有效地压缩了光谱数据,并识别了与疾病相关的变量.
  • 这种方法对提高医学研究中的诊断能力充满希望.