Evidence map›Paper›PMID 33846338›Full record

ArticleNature communications2021

Ultrafast light field tomography for snapshot transient and non-line-of-sight imaging.

Xiaohua Feng, Liang Gao

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
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  5. Light-field tomographic fluorescence lifetime imaging microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Article
  7. Article
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  10. Article
  11. Article
  12. Tunable image projection spectrometry.Biomedical optics express · 2022
    Article
  13. Article
  14. Article
  15. Article
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

2 authors.

Xiaohua FengDepartment of Bioengineering, University of California, Los Angeles, CA, USA.
Liang GaoDepartment of Bioengineering, University of California, Los Angeles, CA, USA. gaol@ucla.edu.ORCID 0000-0002-4296-5586

Funding

Ultrafast BioimagingR35GM128761 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Liang Gao · 2018 to 2026
$3.2M
A Snapshot Adaptive Optics and Hyperspectral Autofluorescence Fundus Camera for Age-Related Macular Degeneration (AMD)R01EY029397 · NEI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BOPPART, STEPHEN A, GAO, LIANG · 2019 to 2023
$1.9M
"FLEXIBLE LIGHT FIELD 3D ENDOSCOPYR21EB028375 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GAO, LIANG · 2020 to 2021
$429k
NEI NIH HHS R01 EY029397NIGMS NIH HHS R35 GM128761
6 · The paper itself

Abstract

Cameras with extreme speeds are enabling technologies in both fundamental and applied sciences. However, existing ultrafast cameras are incapable of coping with extended three-dimensional scenes and fall short for non-line-of-sight imaging, which requires a long sequence of time-resolved two-dimensional data. Current non-line-of-sight imagers, therefore, need to perform extensive scanning in the spatial and/or temporal dimension, restricting their use in imaging only static or slowly moving objects. To address these long-standing challenges, we present here ultrafast light field tomography (LIFT), a transient imaging strategy that offers a temporal sequence of over 1000 and enables highly efficient light field acquisition, allowing snapshot acquisition of the complete four-dimensional space and time. With LIFT, we demonstrated three-dimensional imaging of light in flight phenomena with a <10 picoseconds resolution and non-line-of-sight imaging at a 30 Hz video-rate. Furthermore, we showed how LIFT can benefit from deep learning for an improved and accelerated image formation. LIFT may facilitate broad adoption of time-resolved methods in various disciplines.

Identifiers

PMID33846338
PMCPMC8041853

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Registered trials

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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.