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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).
There are three main types of inductively coupled plasma atomic emission spectroscopy  (ICP-AES) instruments: sequential, simultaneous multichannel, and Fourier transform instruments, with the latter being less commonly used.

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Related Experiment Video

Updated: Jul 6, 2026

High Speed Sub-GHz Spectrometer for Brillouin Scattering Analysis
13:31

High Speed Sub-GHz Spectrometer for Brillouin Scattering Analysis

Published on: December 22, 2015

Single disperser design for coded aperture snapshot spectral imaging.

Ashwin Wagadarikar1, Renu John, Rebecca Willett

  • 1Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina 27708, USA.

Applied Optics
|April 3, 2008
PubMed
Summary

This study introduces a novel spectral imager using compressed sensing for snapshot spectral imaging. The system accurately captures and reconstructs spatiospectral data, achieving high spectral resolution.

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Area of Science:

  • Optics and Photonics
  • Computational Imaging
  • Spectroscopy

Background:

  • Traditional spectral imaging techniques are often slow and complex.
  • Compressed sensing offers a promising approach to accelerate data acquisition.
  • Developing snapshot spectral imagers is crucial for dynamic scene analysis.

Purpose of the Study:

  • To present a single disperser spectral imager leveraging compressed sensing.
  • To demonstrate snapshot spectral imaging capabilities.
  • To validate the instrument's accuracy and spectral resolution.

Main Methods:

  • Utilized a single disperser spectral imager prototype.
  • Employed compressed sensing principles for data acquisition.
  • Applied an iterative algorithm for data cube reconstruction.
  • Captured spatiospectral information of a scene with two balls under different illumination.

Main Results:

  • Successfully achieved snapshot spectral imaging.
  • Reconstructed the spatiospectral data cube.
  • Attained an average spectral resolution of 3.6 nm per channel.
  • Demonstrated instrument accuracy through comparison with a reference spectrometer.

Conclusions:

  • The developed spectral imager effectively captures spatiospectral information in a single shot.
  • Compressed sensing enables efficient snapshot spectral data acquisition.
  • The system shows high accuracy and spectral resolution, suitable for various applications.