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Related Concept Videos

Chromatographic Methods: Classification01:12

Chromatographic Methods: Classification

Chromatographic techniques are classified in three ways: the classification is based on the physical state of the stationary and mobile phases, how the mobile phase and the stationary phase contact each other, or through the chemical or physical processes that isolate the components of the sample. Typically, the mobile phase is either a liquid or gas, while the stationary phase is either a solid or a liquid layer applied to a solid surface.
Chromatographic techniques are typically named by...
Chromatography: Introduction01:10

Chromatography: Introduction

Chromatography is a technique used to separate compounds based on differences of partitioning between two phases, the stationary phase and the mobile phase.
The phase in which the compounds linger or on which the compounds adsorb is called the stationary phase, whereas the mobile phase is the solvent that carries the solutes to be analyzed. In traditional column chromatography, the mixture flows through the stationary phase, and the compounds partition between the stationary and mobile phases...
Chromatographic Methods: Terminology01:18

Chromatographic Methods: Terminology

Chromatography is an analytical technique widely used in fields such as chemistry, biology, environmental science, and pharmaceuticals to separate the components of a mixture and identify substances between them. The process of chromatography is based on the interactions between two distinct phases: the stationary phase and the mobile phase. The stationary phase is fixed in place by a supporting material, while the mobile phase moves over it, carrying the solutes. As the mobile phase travels,...
Ion-Exchange Chromatography01:09

Ion-Exchange Chromatography

Ion-exchange chromatography, or IEC, is a technique for separating ions based on their affinity for the stationary phase. The stationary phase is a cross-linked polymer resin with covalently attached ionic functional groups. The functional groups can be either positively charged (cation exchangers) or negatively charged (anion exchangers). A cation exchanger consists of a polymeric anion and active cations, while an anion exchanger is a polymeric cation with active anions. The choice of...
Principles Of Column Chromatography01:13

Principles Of Column Chromatography

The chromatography technique was first invented in 1901 by Michael S. Tswett, a Russian botanist, to separate plant pigments using organic solvents. Further, in 1941, Archer John Porter Martin and R. L. M. Synge modified the technique by packing silica gel into a column. A mixture of amino acids was then separated on the packed column using chloroform and water mixture as the mobile phase. This was the first report on column chromatography. At present, column chromatography is a widely used...
Chromatographic Resolution01:15

Chromatographic Resolution

In chromatography, a solute moves through a chromatographic column and tends to spread, forming a Gaussian-shaped band. The longer the solute spends in the column, the broader the band becomes. The broadening can lead to overlaps within the column, affecting separation effectiveness.
The effectiveness of separation can be evaluated by determining the level of separation between two neighboring peaks in a chromatogram, which represents the individual components of a sample.
In chromatography,...

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Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
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Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Published on: September 2, 2020

Chromatographic pattern classification.

António V Sousa1, Ana Maria Mendonça, Aurélio Campilho

  • 1Instituto de Engenharia Biomédica (INEB), Porto, Portugal. ats@isep.ipp.pt

IEEE Transactions on Bio-Medical Engineering
|August 22, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces an automated decision tree for classifying thin-layer chromatography images, improving the diagnosis of rare lysosomal diseases by handling imbalanced data effectively.

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Area of Science:

  • Biomedical imaging analysis
  • Chromatography techniques
  • Medical diagnostics

Background:

  • Thin-layer chromatography (TLC) is crucial for sample analysis.
  • Lysosomal diseases are rare, leading to data imbalance in diagnostic studies.
  • Accurate classification of TLC images is essential for diagnosing these disorders.

Purpose of the Study:

  • To develop and evaluate methodologies for classifying thin-layer chromatography images.
  • To improve the diagnostic accuracy for lysosomal diseases using TLC data.
  • To address the challenge of imbalanced datasets in medical image classification.

Main Methods:

  • Image processing techniques including noise filtering and background correction.
  • Fitting a mixture of Gaussians to estimate intensity profiles.
  • Feature extraction from intensity profiles for classification.
  • Development of a novel hierarchical classification solution using an automatically generated decision tree.

Main Results:

  • The proposed automated decision tree significantly outperforms conventional classification methods.
  • The decision tree effectively handles the inherent data imbalance caused by the rarity of lysosomal disorders.
  • Robust estimation of intensity profiles was achieved through advanced image processing.

Conclusions:

  • Automated decision trees offer a superior approach for classifying TLC images compared to traditional methods.
  • This methodology enhances the diagnostic capability for rare lysosomal diseases by managing data scarcity.
  • The study highlights the potential of advanced image analysis in rare disease diagnostics.