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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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Advances in Miniaturized Computational Spectrometers.

Qian Xue1, Yang Yang1, Wenkai Ma1

  • 1School of Integrated Circuits, Huazhong University of Science and Technology (HUST), Wuhan, 430074, P. R. China.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|October 30, 2024
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Summary
This summary is machine-generated.

Miniaturized computational spectrometers leverage computational power to overcome size and performance limitations. This review details spectral encoding and reconstruction algorithms, crucial for advancing these compact devices.

Keywords:
compressive sensingsminiaturized computational spectrometersreconstruction algorithmsspectral encoding

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Area of Science:

  • Optics and Photonics
  • Spectroscopy
  • Computational Imaging

Background:

  • Traditional spectrometers face a trade-off between size and performance.
  • Miniaturized computational spectrometers integrate computational resources to enhance performance in compact devices.
  • These spectrometers utilize diverse materials, optical structures, and photodetectors, coupled with reconstruction algorithms.

Purpose of the Study:

  • To provide a comprehensive review of miniaturized computational spectrometers.
  • To focus on the critical components: spectral encoding and reconstruction algorithms.
  • To analyze the interplay between these components and outline future directions.

Main Methods:

  • Summarized principles, features, and progress of spectral encoding strategies (space-modulated, time-modulated, light-source).
  • Classified and analyzed reconstruction algorithms (traditional and deep learning) based on mathematical models.
  • Examined the cooperation between encoding and reconstruction, figures of merit, and optimization strategies.

Main Results:

  • Detailed review of spectral encoding techniques and reconstruction algorithms.
  • Analysis of the synergy between spectral encoding and reconstruction methods.
  • Highlighting performance metrics and operational considerations for miniaturized computational spectrometers.

Conclusions:

  • Miniaturized computational spectrometers offer a promising path for advanced spectroscopic applications.
  • Further development hinges on optimizing the integration of spectral encoding and reconstruction algorithms.
  • Potential applications include hyperspectral imaging and future innovations in compact spectroscopy.