Small and simple: next-generation miniaturized diffraction-based spectrometer with computational reconstruction algorithms

Markus Suta

doi:10.1038/s41377-024-01449-7

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Small and simple: next-generation miniaturized diffraction-based spectrometer with computational reconstruction algorithms

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- Small and simple: next-generation miniaturized diffraction-based spectrometer with computational reconstruction algorithms
- Small and simple: next-generation miniaturized diffraction-based spectrometer with computational reconstruction algorithms
- LSA 2024年13卷第6期页码：1008-1011
- Affiliations：
  
  Inorganic Photoactive Materials, Faculty of Mathematics and Natural Sciences, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Author bio：
  
  Markus Suta (markus.suta@hhu.de)
- Funds：
- DOI：10.1038/s41377-024-01449-7
  中图分类号：
- 网络出版：2024-05-07，
  
  纸质出版：2024-06-30
- Accepted：
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Small and simple: next-generation miniaturized diffraction-based spectrometer with computational reconstruction algorithms[J]. LSA, 2024,13(6):1008-1011.

Suta, M. Small and simple: next-generation miniaturized diffraction-based spectrometer with computational reconstruction algorithms. Light: Science & Applications, 13, 1008-1011 (2024).
Small and simple: next-generation miniaturized diffraction-based spectrometer with computational reconstruction algorithms[J]. LSA, 2024,13(6):1008-1011. DOI： 10.1038/s41377-024-01449-7.

Suta, M. Small and simple: next-generation miniaturized diffraction-based spectrometer with computational reconstruction algorithms. Light: Science & Applications, 13, 1008-1011 (2024). DOI： 10.1038/s41377-024-01449-7.

摘要

Abstract

An ultra-simple and miniaturized spectrometer using an arbitrarily shaped pinhole as diffraction element reconstructs a broadband spectrum from the information of diffraction of monochromatic radiation by clever computational reconstruction algorithms. This circumvents complex calibration procedures and paves the way to cost-effective on-chip spectrometers combining fast acquisition without significant loss in spectral resolution.

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Keywords

references

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