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Related Concept Videos

Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

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...
IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration01:16

IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration

A covalently bonded heteronuclear diatomic molecule can be modeled as two vibrating masses connected by a spring. The vibrational frequency of the bond can be expressed using an equation derived from Hooke's law, which describes how the force applied to stretch or compress a spring is proportional to the displacement of the spring. In this case, the atoms behave like masses, and the bond acts like a spring.
According to Hooke's law, the vibrational frequency is directly proportional to the...
IR Spectroscopy: Molecular Vibration Overview01:24

IR Spectroscopy: Molecular Vibration Overview

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...
Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
However, a small fraction of the scattered light exhibits a frequency shift due to the exchange of energy between the incident photons and the...
Applications of IR Spectroscopy: Overview01:11

Applications of IR Spectroscopy: Overview

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,...
UV–Vis Spectroscopy: Woodward–Fieser Rules01:29

UV–Vis Spectroscopy: Woodward–Fieser Rules

UV–Visible absorption spectra of conjugated dienes arise from the lowest energy π → π* transitions. The light-absorbing part of the molecule is called the chromophore, and the substituents directly attached to the chromophore are called auxochromes. A strong correlation exists between the absorption maxima, λmax, and the structure of a conjugated π system. The Woodward–Fieser rules predict the value of λmax for a given structure by adding the contributions...

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IRootLab: a free and open-source MATLAB toolbox for vibrational biospectroscopy data analysis.

Júlio Trevisan1, Plamen P Angelov, Andrew D Scott

  • 1School of Computing and Communications, Infolab21, Lancaster University, Lancaster, UK. juliotrevisan@gmail.com

Bioinformatics (Oxford, England)
|February 21, 2013
PubMed
Summary

IRootLab is a free, open-source MATLAB toolbox for vibrational biospectroscopy (VBS) data analysis. It provides a class library, GUIs, and automatic code generation for efficient VBS data processing and visualization.

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Area of Science:

  • Biophysics
  • Spectroscopy
  • Computational Biology

Background:

  • Vibrational biospectroscopy (VBS) generates complex datasets.
  • Efficient and user-friendly data analysis tools are crucial for VBS research.
  • Existing tools may lack comprehensive features or ease of use.

Purpose of the Study:

  • To introduce IRootLab, a novel MATLAB toolbox for VBS data analysis.
  • To provide researchers with a versatile and accessible platform for VBS data processing.
  • To streamline the analysis workflow from data import to visualization.

Main Methods:

  • Development of an object-oriented programming class library for VBS analysis.
  • Implementation of graphical user interfaces (GUIs) for intuitive data handling.
  • Inclusion of automatic MATLAB code generation for scripting VBS analysis.
  • Support for popular VBS file formats and data merging capabilities.

Main Results:

  • IRootLab offers a comprehensive suite of methods for VBS data analysis.
  • The toolbox integrates a class library, GUIs, and automatic code generation.
  • It facilitates data merging, visualization, and script development.
  • Extensive documentation, including a manual and tutorials, is provided.

Conclusions:

  • IRootLab is a free and open-source solution for VBS data analysis.
  • Its features enhance the efficiency and accessibility of VBS data processing.
  • The toolbox supports a wide range of VBS file formats.
  • IRootLab is available under the GNU-LGPL license.