ArticleLaser & photonics reviews2021
GEOMScope: Large Field-of-view 3D Lensless Microscopy with Low Computational Complexity.
Article in Laser & photonics reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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
13 citing papers in PubMed.
- Photonics Breakthroughs 2025: Mask-Based Integrated Miniscope for Large-scale Volumetric Imaging.IEEE photonics journal · 2026Article
- DeepInMiniscope: Deep learning-powered physics-informed integrated miniscope.Science advances · 2025Article
- Lensless camera: Unraveling the breakthroughs and prospects.Fundamental research · 2025Review
- Lensless imaging with a programmable Fresnel zone aperture.Science advances · 2025Article
- DeepDOF-SE: affordable deep-learning microscopy platform for slide-free histology.Nature communications · 2024Article
- Optical imaging for screening and early cancer diagnosis in low-resource settings.Nature reviews bioengineering · 2024Article
- Transient Loss-Induced Non-Hermitian Degeneracies for Ultrafast Terahertz Metadevices.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Pupil engineering for extended depth-of-field imaging in a fluorescence miniscope.Neurophotonics · 2023Article
- Real-time, deep-learning aided lensless microscope.Biomedical optics express · 2023Article
- Article
- Learned lensless 3D camera.Optics express · 2022Article
- Recent Advances in Lensless Imaging.Optica · 2022Article
- Neurophotonic tools for microscopic measurements and manipulation: status report.Neurophotonics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Imaging systems with miniaturized device footprint, real-time processing speed and high resolution three-dimensional (3D) visualization are critical to broad biomedical applications such as endoscopy. Most of existing imaging systems rely on bulky lenses and mechanically refocusing to perform 3D imaging. Here, we demonstrate GEOMScope, a lensless single-shot 3D microscope that forms image through a single layer of thin microlens array and reconstructs objects through an innovative algorithm combining geometrical-optics-based pixel back projection and background suppressions. We verify the effectiveness of GEOMScope on resolution target, fluorescent particles and volumetric objects. Comparing to other widefield lensless imaging devices, we significantly reduce the required computational resource and increase the reconstruction speed by orders of magnitude. This enables us to image and recover large volume 3D object in high resolution with near real-time processing speed. Such a low computational complexity is attributed to the joint design of imaging optics and reconstruction algorithms, and a joint application of geometrical optics and machine learning in the 3D reconstruction. More broadly, the excellent performance of GEOMScope in imaging resolution, volume, and reconstruction speed implicates that geometrical optics could greatly benefit and play an important role in computational imaging.
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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.