ArticleNature communications2024
A compressive hyperspectral video imaging system using a single-pixel detector.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 63 citations in OpenAlex.
- Seeing Beyond RGB Capabilities: Data-Driven and Physics-Guided Broadband Spectral Extrapolation of Plasmonic Nanostructures by Deep Learning.ACS photonics · 2026Article
- High-speed hyperspectral single-pixel microscopy via line-scan detection with data fusion-based enhanced resolution.Communications engineering · 2026Article
- Spaceborne snapshot compressive hyperspectral imaging.Light, science & applications · 2026Article
- Enzymatic colorimetric encoding-based digital medicine for pancreatic cancer diagnosis.Nature communications · 2026Article
- Multichannel multicentroid motion-compensated single pixel imaging of a 2D arbitrarily moving rigid-body target.Communications engineering · 2026Article
- Dark-Field Scattering Imaging and Spectroscopy.ACS applied materials & interfaces · 2025Review
- Article
- In-sensor compressing via programmable optoelectronic sensors based on van der Waals heterostructures for intelligent machine vision.Nature communications · 2025Article
- Physical twinning for joint encoding-decoding optimization in computational optics: a review.Light, science & applications · 2025Review
- High-Speed Hyperspectral Imaging for Near Infrared Fluorescence and Environmental Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Optimizing autofocus under multispectral lighting via enhanced SIFT and Pearson correlation coefficient.PloS one · 2025Article
- SpectraTrack: megapixel, hundred-fps, and thousand-channel hyperspectral imaging.Nature communications · 2024Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
Capturing fine spatial, spectral, and temporal information of the scene is highly desirable in many applications. However, recording data of such high dimensionality requires significant transmission bandwidth. Current computational imaging methods can partially address this challenge but are still limited in reducing input data throughput. In this paper, we report a video-rate hyperspectral imager based on a single-pixel photodetector which can achieve high-throughput hyperspectral video recording at a low bandwidth. We leverage the insight that 4-dimensional (4D) hyperspectral videos are considerably more compressible than 2D grayscale images. We propose a joint spatial-spectral capturing scheme encoding the scene into highly compressed measurements and obtaining temporal correlation at the same time. Furthermore, we propose a reconstruction method relying on a signal sparsity model in 4D space and a deep learning reconstruction approach greatly accelerating reconstruction. We demonstrate reconstruction of 128 × 128 hyperspectral images with 64 spectral bands at more than 4 frames per second offering a 900× data throughput compared to conventional imaging, which we believe is a first-of-its kind of a single-pixel-based hyperspectral imager.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.