Evidence map›Paper›PMID 38448627›Full record

ReviewCommunications biology2024

Dynamic contrast optical coherence tomography (DyC-OCT) for label-free live cell imaging.

Chao Ren, Senyue Hao, Fei Wang, Abigail Matt, Marcello Magri Amaral, Daniel Yang, Leyao Wang, Chao Zhou

Abstract readReview
In one paragraph

Review in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Virtual histology imaging of lymph nodesCancer biology & medicine · 2026
    Observational
  10. Article
  11. Article
  12. Biomedical optics express · 2026
    Article
  13. Article
  14. Article
  15. Label-free viability assessment ofBiomedical optics express · 2026
    Article
  16. Article
  17. Article
  18. Guide to dynamic OCT data analysis.Biomedical optics express · 2025
    Article
  19. Article
  20. 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

8 authors.

Chao RenDepartment of Biomedical Engineering, Washington University in St Louis, St. Louis, MO, USA.ORCID 0000-0002-1325-3192
Senyue HaoDepartment of Electrical & Systems Engineering, Washington University in St Louis, St. Louis, MO, USA.ORCID 0009-0005-0860-7629
Fei WangDepartment of Biomedical Engineering, Washington University in St Louis, St. Louis, MO, USA.ORCID 0000-0002-0890-4595
Abigail MattDepartment of Biomedical Engineering, Washington University in St Louis, St. Louis, MO, USA.
Marcello Magri AmaralDepartment of Biomedical Engineering, Washington University in St Louis, St. Louis, MO, USA.ORCID 0000-0002-9962-5646
Daniel YangDivision of Allergy and Immunology, Washington University School of Medicine, St. Louis, MO, USA.
Leyao WangDivision of Allergy and Immunology, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0001-5165-4838
Chao ZhouDepartment of Biomedical Engineering, Washington University in St Louis, St. Louis, MO, USA. chaozhou@wustl.edu.ORCID 0000-0002-8679-3413

Funding

High-throughput integrated live imaging and optogenetic pacing platform to assess hypoxia responsiveness in the fly heartR01HL156265 · NHLBI · WASHINGTON UNIVERSITY · PI ZHOU, CHAO · 2021 to 2024
$2.1M
High throughput optical coherence tomography (OCT)-based imaging platform for label-free, non-invasive characterization of 3D tumor spheroids.R01EB025209 · NIBIB · WASHINGTON UNIVERSITY · PI ZHOU, CHAO · 2017 to 2021
$1.4M
Expansion Optical Coherence Microscopy (ExOCM)R21EB032684 · NIBIB · WASHINGTON UNIVERSITY · PI ZHOU, CHAO · 2022 to 2023
$431k
NHLBI NIH HHS R01 HL156265NIBIB NIH HHS R01 EB025209NIBIB NIH HHS R21 EB032684
6 · The paper itself

Abstract

Dynamic contrast optical coherence tomography (DyC-OCT), an emerging imaging method, utilizes fluctuation patterns in OCT signals to enhance contrast, thereby enabling non-invasive label-free volumetric live cell imaging. In this mini review, we explain the core concepts behind DyC-OCT image formation and its system configurations, serving as practical guidance for future DyC-OCT users. Subsequently, we explore its applications in delivering high-quality, contrast-enhanced images of cellular morphology, as well as in monitoring changes in cellular activity/viability assay experiments.

Indexed as

Tomography, Optical CoherenceCell Survival

Identifiers

PMID38448627
PMCPMC10918170

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.