Reconstructive spectrometers: hardware miniaturization and computational reconstruction

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 adv...

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Vydáno v:eLight Ročník 5; číslo 1; s. 23 - 24
Hlavní autoři: Zhang, Yiru, Yang, Enbo, Yoon, Hoon Hahn, Cheng, Qixiang, Sun, Zhipei, Hasan, Tawfique, Cai, Weiwei
Médium: Journal Article
Jazyk:angličtina
Vydáno: Singapore Springer Nature Singapore 08.09.2025
Springer Nature B.V
SpringerOpen
Témata:
Accuracy
Algorithms
Decoding algorithms
Deep learning
Design
Fourier transforms
Inverse design
Joint optimization
Lasers
Light
Machine learning
Manufacturing
Mathematical models
Miniaturization
Optical Devices
Optics
Photonics
Physics
Physics and Astronomy
Reconstructive spectrometers
Review
Sensors
Sparsity
Reconstructive spectrometers
Miniaturization
Joint optimization
Inverse design
Decoding algorithms
ISSN:2097-1710, 2662-8643
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Popis
Shrnutí: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.
Bibliografie:ObjectType-Article-1
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ISSN:2097-1710
2662-8643
DOI:10.1186/s43593-025-00101-0