Reconstructive spectrometers: hardware miniaturization and computational reconstruction

Yiru Zhang; Enbo Yang; Hoon Hahn Yoon; Qixiang Cheng; Zhipei Sun; Tawfique Hasan; Weiwei Cai

doi:10.1186/s43593-025-00101-0

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Reconstructive spectrometers: hardware miniaturization and computational reconstruction

eLight 2025年5卷

Review | Updated：2025-12-17

- Reconstructive spectrometers: hardware miniaturization and computational reconstruction
- Reconstructive spectrometers: hardware miniaturization and computational reconstruction
- Affiliations：
- Author bio：
- Funds：
  
  Scientific Research Innovation Capability Support Project for Young Faculty;National Research Foundation of Korea (NRF);Industrial Strategic Technology Development Program
- DOI：10.1186/s43593-025-00101-0
  中图分类号：
- 收稿：2025-04-29，
  
  修回：2025-08-06，
  
  录用：2025-08-08，
  
  网络出版：2025-09-08，
  
  纸质出版：2025-12
- Accepted：
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Yiru Zhang, Enbo Yang, Hoon Hahn Yoon, 等. Reconstructive spectrometers: hardware miniaturization and computational reconstruction[J]. eLight, 2025,5.

Yiru Zhang, Enbo Yang, Hoon Hahn Yoon, et al. Reconstructive spectrometers: hardware miniaturization and computational reconstruction[J]. eLight, 2025, 5.
Yiru Zhang, Enbo Yang, Hoon Hahn Yoon, 等. Reconstructive spectrometers: hardware miniaturization and computational reconstruction[J]. eLight, 2025,5. DOI： 10.1186/s43593-025-00101-0.

Yiru Zhang, Enbo Yang, Hoon Hahn Yoon, et al. Reconstructive spectrometers: hardware miniaturization and computational reconstruction[J]. eLight, 2025, 5. DOI： 10.1186/s43593-025-00101-0.

摘要

Abstract

Spectrometers serve as indispensable analytical tools across chemistry

materials science

environmental monitoring

medical diagnostics

and beyond. The emergence of reconstructive spectrometers represents a transformative leap in spectral analysis

combining miniaturized encoding hardware with advanced computational algorithms to revolutionize conventional approaches. These devices encode unknown spectral data into measurable signals

for which sophisticated algorithms then decode to reconstruct the original spectrum with high fidelity—all achieved within an ultra-compact footprint. In this review

we first establish the mathematical foundations governing spectral encoding and decoding. We then provide a detailed analysis of encoding strategy and state-of-the-art decoding techniques

followed by recent breakthroughs in hardware design for optimized spectral reconstruction systems. Finally

we address key challenges and future opportunities

offering insights into how reconstructive spectrometers may redefine spectroscopy beyond traditional laboratory settings.

关键词

Keywords

references

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