Evidence map›Paper›PMID 39711807›Full record

ArticlePhotoniX2024

Deep learning enhanced quantum holography with undetected photons.

Weiru Fan, Gewei Qian, Yutong Wang, Chen-Ran Xu, Ziyang Chen, Xun Liu, Wei Li, Xu Liu, Feng Liu, Xingqi Xu and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PhotoniX, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Intelligent Laser Micro/Nano Processing: Research and Advances.Nanomaterials (Basel, Switzerland) · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Weiru Fan *Zhejiang Province Key Laboratory of Quantum Technology and Device, School of Physics, and State Key Laboratory for Extreme Photonics and Instrumentation, Zhejiang University, Hangzhou, 310027 Zhejiang Province China.
Gewei Qian *Zhejiang Province Key Laboratory of Quantum Technology and Device, School of Physics, and State Key Laboratory for Extreme Photonics and Instrumentation, Zhejiang University, Hangzhou, 310027 Zhejiang Province China.
Yutong WangCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027 Zhejiang Province China.
Chen-Ran XuZhejiang Province Key Laboratory of Quantum Technology and Device, School of Physics, and State Key Laboratory for Extreme Photonics and Instrumentation, Zhejiang University, Hangzhou, 310027 Zhejiang Province China.
Ziyang ChenCollege of Information Science and Engineering, Fujian Key Laboratory of Light Propagation and Transformation, Huaqiao University, Xiamen, 361021 Fujian Province China.
Xun LiuBeijing Institute of Space and Electricity, China Academy of Space Technology, Beijing, 100094 China.
Wei LiBeijing Institute of Space and Electricity, China Academy of Space Technology, Beijing, 100094 China.
Xu LiuCollege of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027 Zhejiang Province China.
Feng LiuCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027 Zhejiang Province China.
Xingqi XuZhejiang Province Key Laboratory of Quantum Technology and Device, School of Physics, and State Key Laboratory for Extreme Photonics and Instrumentation, Zhejiang University, Hangzhou, 310027 Zhejiang Province China.
Da-Wei WangZhejiang Province Key Laboratory of Quantum Technology and Device, School of Physics, and State Key Laboratory for Extreme Photonics and Instrumentation, Zhejiang University, Hangzhou, 310027 Zhejiang Province China.
Vladislav V YakovlevDepartment of Biomedical Engineering, Texas A&M University, College Station, 77843 TX USA.ORCID 0000-0002-4557-1013

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Holography is an essential technique of generating three-dimensional images. Recently, quantum holography with undetected photons (QHUP) has emerged as a groundbreaking method capable of capturing complex amplitude images. Despite its potential, the practical application of QHUP has been limited by susceptibility to phase disturbances, low interference visibility, and limited spatial resolution. Deep learning, recognized for its ability in processing complex data, holds significant promise in addressing these challenges. In this report, we present an ample advancement in QHUP achieved by harnessing the power of deep learning to extract images from single-shot holograms, resulting in vastly reduced noise and distortion, alongside a notable enhancement in spatial resolution. The proposed and demonstrated deep learning QHUP (DL-QHUP) methodology offers a transformative solution by delivering high-speed imaging, improved spatial resolution, and superior noise resilience, making it suitable for diverse applications across an array of research fields stretching from biomedical imaging to remote sensing. DL-QHUP signifies a crucial leap forward in the realm of holography, demonstrating its immense potential to revolutionize imaging capabilities and pave the way for advancements in various scientific disciplines. The integration of DL-QHUP promises to unlock new possibilities in imaging applications, transcending existing limitations and offering unparalleled performance in challenging environments. Supplementary Information: The online version contains supplementary material available at 10.1186/s43074-024-00155-2.

Indexed as

Computational imagingDeep learningQuantum holographyUndetected photons

Identifiers

PMID39711807
PMCPMC11655614

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.