Optical Convolutional Spectrometer
Chunhui Yao, Jie Ma, Ningning Wang, Peng Bao, Wei Zhuo, Tao Zhang,, Wanlu Zhang, Kangning Xu, Ting Yan, Liang Ming, Yuxiao Ye, Tawfique Hasan,, Ian White, Richard Penty, and Qixiang Cheng

TL;DR
This paper introduces a novel, compact optical spectrometer based on convolution theorem, achieving high precision, low cost, and fast processing, suitable for diverse applications including industrial, healthcare, and environmental monitoring.
Contribution
The work presents a new convolutional spectrometer design that is miniaturized, simple, and high-performing, surpassing traditional spectrometers in size, cost, and speed.
Findings
Classifies solid samples with 100% success rate
Quantifies solution concentrations with superior accuracy
Non-invasively detects human biomarkers with low error
Abstract
Optical spectrometers are fundamental across numerous disciplines in science and technology. However, miniaturized versions, while essential for in situ measurements, are often restricted to coarse identification of signature peaks and inadequate for metrological purposes. Here, we introduce a new class of spectrometer, leveraging the convolution theorem as its mathematical foundation. Our convolutional spectrometer offers unmatched performance for miniaturized systems and distinct structural and computational simplicity, featuring a centimeter-scale footprint for the fully packaged unit, low cost (~$10) and a 2400 cm-1 (approximately 500 nm) bandwidth. We achieve excellent precision in resolving complex spectra with sub-second sampling and processing time, demonstrating a wide range of applications from industrial and agricultural analysis to healthcare monitoring. Specifically, our…
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Taxonomy
TopicsAdvanced MEMS and NEMS Technologies · Sensor Technology and Measurement Systems
