ArticleNature communications2020
Three-dimensional imaging through scattering media based on confocal diffuse tomography.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed.
- Neuromorphic Optical Tracking and Imaging of Randomly Moving Targets Through Dynamic Dense Scattering Media.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- High-Precision Depth Image Estimation for Array Gm-APD LiDAR Based on Dual-Parameter Model Feature in Dynamic Atmospheric Obscurant Environments.Sensors (Basel, Switzerland) · 2026Article
- Sensing Through Tissues Using Diffuse Optical Imaging and Genetic Programming.Sensors (Basel, Switzerland) · 2026Article
- Propagation of Laguerre-Gaussian beam intensities through optically thick turbid media.Scientific reports · 2025Article
- Influence of Target Surface BRDF on Non-Line-of-Sight Imaging.Journal of imaging · 2024Article
- LiDAR-Based Intensity-Aware Outdoor 3D Object Detection.Sensors (Basel, Switzerland) · 2024Article
- Terahertz bistatic three-dimensional computational imaging of hidden objects through random media.Scientific reports · 2024Article
- Roadmap on computational methods in optical imaging and holography [invited].Applied physics. B, Lasers and optics · 2024Review
- Ultrasonic barrier-through imaging by Fabry-Perot resonance-tailoring panel.Nature communications · 2023Article
- Overlapping speckle correlation algorithm for high-resolution imaging and tracking of objects in unknown scattering media.Nature communications · 2023Article
- Imaging inside highly scattering media using hybrid deep learning and analytical algorithm.Journal of biophotonics · 2023Article
- Confocal LiDAR for remote high-resolution imaging of auto-fluorescence in aquatic media.Scientific reports · 2023Article
- Unrolled-DOT: an interpretable deep network for diffuse optical tomography.Journal of biomedical optics · 2023Article
- Imaging Dynamics Beneath Turbid Media via Parallelized Single-Photon Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- A boundary migration model for imaging within volumetric scattering media.Nature communications · 2022Article
- Imaging through diffuse media using multi-mode vortex beams and deep learning.Scientific reports · 2022Article
- High Resolution, Deep Imaging Using Confocal Time-of-Flight Diffuse Optical Tomography.IEEE transactions on pattern analysis and machine intelligence · 2021Article
- Robust real-time 3D imaging of moving scenes through atmospheric obscurant using single-photon LiDAR.Scientific reports · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Optical imaging techniques, such as light detection and ranging (LiDAR), are essential tools in remote sensing, robotic vision, and autonomous driving. However, the presence of scattering places fundamental limits on our ability to image through fog, rain, dust, or the atmosphere. Conventional approaches for imaging through scattering media operate at microscopic scales or require a priori knowledge of the target location for 3D imaging. We introduce a technique that co-designs single-photon avalanche diodes, ultra-fast pulsed lasers, and a new inverse method to capture 3D shape through scattering media. We demonstrate acquisition of shape and position for objects hidden behind a thick diffuser (≈6 transport mean free paths) at macroscopic scales. Our technique, confocal diffuse tomography, may be of considerable value to the aforementioned applications.
Identifiers
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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.