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Related Concept Videos

IR Spectrometers01:25

IR Spectrometers

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...
Spectrophotometry: Introduction01:16

Spectrophotometry: Introduction

Spectrophotometry is the quantitative measurement of the absorption, reflection, diffraction, or transmission of electromagnetic radiation through a material as a function of the intensity and wavelength of the radiation. A spectrophotometer is a device used to measure the change in the radiation intensity caused by its interaction with the material.
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IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

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 C=O, C=N, and C=C occur between 1600–1850 cm−1.
The...
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.
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Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

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.
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Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation01:26

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation

Inductively coupled plasma (ICP) is the common plasma source used in atomic emission spectroscopy (AES), a technique that detects and analyzes various elements in a sample. This method is often called inductively coupled plasma atomic emission spectroscopy (ICP-AES).
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A Multimodal Wide-Field Fourier-Transform Raman Microscope
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Rapid spectral analysis for spectral imaging.

Steven L Jacques, Ravikant Samatham, Niloy Choudhury

    Biomedical Optics Express
    |January 25, 2011
    PubMed
    Summary
    This summary is machine-generated.

    A new spectral imaging algorithm rapidly analyzes tissue absorption spectra using iterative matrix inversions. This method, validated on portwine stain lesions, significantly accelerates spectral analysis for biomedical applications.

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    Area of Science:

    • Biomedical Optics
    • Medical Imaging
    • Spectroscopy

    Background:

    • Spectral imaging necessitates swift analysis of spectral data for each pixel.
    • Accurate tissue optical property determination is crucial for diagnostic and therapeutic applications.

    Purpose of the Study:

    • To develop a rapid algorithm for analyzing tissue absorption spectra in spectral imaging.
    • To improve the speed and efficiency of spectral data processing for biomedical applications.

    Main Methods:

    • Developed a novel algorithm employing iterative matrix inversions to compute absorption spectra.
    • Utilized a lookup table for photon pathlength derived from numerical simulations.
    • Incorporated tissue water content as an internal standard to quantify optical scattering.

    Main Results:

    • The algorithm demonstrated significantly faster performance, approximately 100-fold increase compared to fminsearch when implemented in MATLAB.
    • Successfully applied the method to experimental spectral data from portwine stain lesions.
    • Validated the accuracy of derived absorption spectra and scattering parameters.

    Conclusions:

    • The developed iterative matrix inversion algorithm offers a rapid and efficient solution for spectral imaging analysis.
    • This advancement has the potential to enhance real-time diagnostic capabilities in spectral imaging of tissues.
    • The method's speed and accuracy make it suitable for clinical applications, including the characterization of vascular lesions.