ArticleLight, science & applications2024
Ultra-simplified diffraction-based computational spectrometer.
Article in Light, science & applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Electrically Coded Retinomorphic Spectrophotodetector.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Wavelength-scale noise-resistant on-chip spectrometer.Nature communications · 2026Article
- Achieving sub-pm wavelength regression via minimum-phase in a single-stream photonic IC.Nature communications · 2026Article
- Optical convolutional spectrometer.Nature photonics · 2026Article
- High-Density Arrayed Spectrometer with Microlens Array Grating for Multi-Channel Parallel Spectral Analysis.Sensors (Basel, Switzerland) · 2025Article
- Deep learning-based single-shot computational spectrometer using multilayer thin films.Scientific reports · 2025Article
- Single-Pixel Infrared Miniaturized Spectrometer Enabled by Ultra-Broadband Reconfigurable Photodetection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Physical twinning for joint encoding-decoding optimization in computational optics: a review.Light, science & applications · 2025Review
- Lensless imaging with a programmable Fresnel zone aperture.Science advances · 2025Article
- Nonlinear memristive computational spectrometer.Light, science & applications · 2025Article
- Advances in Miniaturized Computational Spectrometers.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Ultra-broadband diffractive imaging with unknown probe spectrum.Light, science & applications · 2024Article
- Compact Numerical Aperture 0.5 Fiber Optic Spectrometer Design Using Active Image Plane Tilt.Sensors (Basel, Switzerland) · 2024Article
- Small and simple: next-generation miniaturized diffraction-based spectrometer with computational reconstruction algorithms.Light, science & applications · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Miniaturizing spectrometers for compact and cost-effective mobile platforms is a major challenge in current spectroscopy research, where conventional spectrometers are impractical due to their bulky footprint. Existing miniaturized designs primarily rely on precalibrated response functions of nanophotonic structures to encode spectral information captured in a snapshot by detector arrays. Accurate spectrum reconstruction is achieved through computational techniques, but this requires precise component design, high-precision fabrication, and calibration. We propose an ultra-simplified computational spectrometer that employs a one-to-broadband diffraction decomposition strategy facilitated by a numerical regularized transform that depends only on the spectrum of the diffracted radiation. The key feature of our design is the use of a simple, arbitrarily shaped pinhole as the partial disperser, eliminating the need for complex encoding designs and full spectrum calibration. Our spectrometer achieves a reconstructed spectral peak location accuracy of better than 1 nm over a 200 nm bandwidth and excellent resolution for peaks separated by 3 nm in a bimodal spectrum, all within a compact footprint of under half an inch. Notably, our approach also reveals a breakthrough in broadband coherent diffractive imaging without requiring any prior knowledge of the broadband illumination spectrum, assumptions of non-dispersive specimens, or correction for detector quantum efficiency.
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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.