Evidence map›Paper›PMID 37349390›Full record

ArticleNature biomedical engineering2023

Rapid and stain-free quantification of viral plaque via lens-free holography and deep learning.

Tairan Liu, Yuzhu Li, Hatice Ceylan Koydemir, Yijie Zhang, Ethan Yang, Merve Eryilmaz, Hongda Wang, Jingxi Li, Bijie Bai, Guangdong Ma and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature biomedical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. On the use of deep learning for phase recovery.Light, science & applications · 2024
    Review
  19. Review
  20. 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

11 authors.

Tairan Liu *Electrical and Computer Engineering Department, University of California, Los Angeles, CA, USA.
Yuzhu Li *Electrical and Computer Engineering Department, University of California, Los Angeles, CA, USA.
Hatice Ceylan KoydemirElectrical and Computer Engineering Department, University of California, Los Angeles, CA, USA.ORCID 0000-0002-8612-5167
Yijie ZhangElectrical and Computer Engineering Department, University of California, Los Angeles, CA, USA.
Ethan YangElectrical and Computer Engineering Department, University of California, Los Angeles, CA, USA.
Merve EryilmazElectrical and Computer Engineering Department, University of California, Los Angeles, CA, USA.ORCID 0000-0003-3034-7665
Hongda WangElectrical and Computer Engineering Department, University of California, Los Angeles, CA, USA.ORCID 0000-0003-0110-5624
Jingxi LiElectrical and Computer Engineering Department, University of California, Los Angeles, CA, USA.ORCID 0000-0001-6595-8680
Bijie BaiElectrical and Computer Engineering Department, University of California, Los Angeles, CA, USA.
Guangdong MaElectrical and Computer Engineering Department, University of California, Los Angeles, CA, USA.
Aydogan OzcanElectrical and Computer Engineering Department, University of California, Los Angeles, CA, USA. ozcan@ucla.edu.ORCID 0000-0002-0717-683X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A plaque assay-the gold-standard method for measuring the concentration of replication-competent lytic virions-requires staining and usually more than 48 h of runtime. Here we show that lens-free holographic imaging and deep learning can be combined to expedite and automate the assay. The compact imaging device captures phase information label-free at a rate of approximately 0.32 gigapixels per hour per well, covers an area of about 30 × 30 mm

Indexed as

Deep LearningHolographyColoring AgentsViral Plaque AssayVirus ReplicationColoring Agents

Identifiers

PMID37349390
PMCPMC10427422

What OpenQuestion holds

Textmetadata
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.