Evidence map›Paper›PMID 28775997›Full record

ArticleOptica2016

Space- and intensity-constrained reconstruction for compressed ultrafast photography.

Liren Zhu, Yujia Chen, Jinyang Liang, Qiaofeng Xu, Liang Gao, Cheng Ma, Lihong V Wang

Open access · goldAbstract read
In one paragraph

Article in Optica, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
20.5field-weighted citation impact, top 1% of its field
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

13 citing papers in PubMed, 71 citations in OpenAlex.

  1. Article
  2. Article
  3. Tutorial on compressed ultrafast photography.Journal of biomedical optics · 2024
    Review
  4. Article
  5. Article
  6. High-speed compressed-sensing fluorescence lifetime imaging microscopy of live cells.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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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

7 authors at 2 institutions in 1 country.

Liren ZhuOptical Imaging Laboratory, Department of Biomedical Engineering, Washington University in St. Louis, Campus Box 1097, One Brookings Drive, St. Louis, Missouri 63130, USA.
Yujia ChenOptical Imaging Laboratory, Department of Biomedical Engineering, Washington University in St. Louis, Campus Box 1097, One Brookings Drive, St. Louis, Missouri 63130, USA.
Jinyang LiangOptical Imaging Laboratory, Department of Biomedical Engineering, Washington University in St. Louis, Campus Box 1097, One Brookings Drive, St. Louis, Missouri 63130, USA.
Qiaofeng XuOptical Imaging Laboratory, Department of Biomedical Engineering, Washington University in St. Louis, Campus Box 1097, One Brookings Drive, St. Louis, Missouri 63130, USA.
Liang GaoOptical Imaging Laboratory, Department of Biomedical Engineering, Washington University in St. Louis, Campus Box 1097, One Brookings Drive, St. Louis, Missouri 63130, USA.
Cheng MaOptical Imaging Laboratory, Department of Biomedical Engineering, Washington University in St. Louis, Campus Box 1097, One Brookings Drive, St. Louis, Missouri 63130, USA.
Lihong V WangOptical Imaging Laboratory, Department of Biomedical Engineering, Washington University in St. Louis, Campus Box 1097, One Brookings Drive, St. Louis, Missouri 63130, USA.
Optica · USWashington University in St. Louis · US

Funding

PHOTON TUNNELING: SHEDDING NEW LIGHT ON BIOMEDICINEDP1EB016986 · NIBIB · WASHINGTON UNIVERSITY · PI WANG, LIHONG · 2012 to 2016
$3.8M
IN VIVO IMAGING OF SINGLE CIRCULATING CELLSR01CA186567 · NCI · WASHINGTON UNIVERSITY · PI WANG, LIHONG · 2013 to 2017
$3.6M
NCI NIH HHS R01 CA186567NIBIB NIH HHS DP1 EB016986
6 · The paper itself

Abstract

The single-shot compressed ultrafast photography (CUP) camera is the fastest receive-only camera in the world. In this Letter, we introduce an external CCD camera and a space- and intensity-constrained (SIC) reconstruction algorithm to improve the image quality of CUP. The external CCD camera takes a time-unsheared image of the dynamic scene. Unlike the previously used unconstrained algorithm, the proposed algorithm incorporates both spatial and intensity constraints based on the additional prior information provided by the external CCD camera. First, a spatial mask is extracted from the time-unsheared image to define the zone of action. Next, an intensity threshold is determined based on the similarity between the temporally projected image of the reconstructed datacube and the time-unsheared image. Both simulation and experimental studies show that the SIC reconstruction improves the spatial resolution, contrast, and general quality of the reconstructed image.

Identifiers

PMID28775997
PMCPMC5538792
OpenAlexW2467972155

What OpenQuestion holds

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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.