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相关概念视频

Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

1.9K
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...
1.9K
IR Frequency Region: X–H Stretching01:24

IR Frequency Region: X–H Stretching

1.0K
In IR spectroscopy, signals produced by the X−H bonds (such as C−H, O−H, or N−H) can be observed in the frequency range of  2700–4000 cm–1. The C−H stretching vibration forms sharp bands in the region 2850–3000 cm–1. The presence of the O−H stretching vibration leads to the forming of an absorption band in the frequency range 3650–3200 cm−1. At the same time, N−H stretching can be confirmed by absorption bands in...
1.0K
IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

939
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...
939
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

1.1K
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...
1.1K
Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

418
Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
The ATR process begins by directing a beam...
418
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

6.4K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
6.4K

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相关实验视频

Updated: Jul 19, 2025

Label-Free Imaging of Single Proteins Secreted from Living Cells via iSCAT Microscopy
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一种创新的方法来消除红外图像中的条纹噪声.

Xiaohang Zhao1,2, Mingxuan Li1, Ting Nie1

  • 1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.

Sensors (Basel, Switzerland)
|August 12, 2023
PubMed
概括
此摘要是机器生成的。

一种新的多层次图像分解方法有效地消除了红外图像中的条纹噪声. 这种方法保留了关键的纹理细节,优于传统的无色化技术.

关键词:
乘数器的交替方向方法 (ADMM)红外图像中的红外图像.多层次图像分解方法.多分散约束表示 (MSCR)条纹噪音 条纹噪音

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科学领域:

  • 红外成像技术是红外成像技术.
  • 图像处理和计算机视觉

背景情况:

  • 红外探测器读取回路可能会引起条纹噪声,降低图像质量.
  • 现有的染方法难以保存基本的图像信息.

研究的目的:

  • 开发一种先进的方法来消除红外图像中的条纹噪声.
  • 为了提高在消噪过程中的纹理和边缘信息的保存.

主要方法:

  • 提出了一种基于改进的LatLRR (MIDILatLRR) 的多层次图像分解方法.
  • 利用全球低级属性来实现噪声和信息分解的顺利.
  • 适应性地将纹理信息分解成突出部分的图像.
  • 采用多分散约束表示 (MSCR) 和ADMM用于条纹噪声建模和计算.

主要成果:

  • 该MIDILatLRR方法有效地将条纹噪声和光滑信息分解为低级组件.
  • 与传统方法相比,纹理和边缘信息得到更好的保存.
  • 实验性比较表明在主观和客观评估中表现优越.

结论:

  • 拟议的MIDILatLRR算法在红外图像中消除条纹噪声方面非常有效.
  • 该方法通过保留细节,显著提高图像质量.
  • 在最先进的拒绝算法上表现出优越性.