Evidence map›Paper›PMID 42770012›Full record

ArticleBiomedical optics express2026

Automated processing pipeline for functional imaging of human cardiac organoids using optical coherence tomography.

Kechao Lu, Erin C O'Kane, Wan Wang, Lauren E Parker, Ravi Karra, David A Miller, Adam Wax

Abstract read
In one paragraph

Article in Biomedical optics express, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kechao LuDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.ORCID https://orcid.org/0000-0003-4875-6379
Erin C O'KaneDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.ORCID https://orcid.org/0009-0007-6186-4688
Wan WangDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Lauren E ParkerDepartment of Medicine, Duke University, Durham, NC 27708, USA.
Ravi KarraDepartment of Medicine, Duke University, Durham, NC 27708, USA.
David A MillerDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.ORCID https://orcid.org/0000-0002-1630-1233
Adam WaxDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.ORCID https://orcid.org/0000-0002-1827-5112

Funding

Myovascular Mechanisms of Cardiac Growth and RegenerationR01HL157277 · NHLBI · DUKE UNIVERSITY · PI RAVI KARRA · 2022 to 2026
$2.6M
Retinal Light Scattering Measurements as a Clinical Biomarker of Alzheimer's DiseaseR01AG072732 · NIA · DUKE UNIVERSITY · PI Adam Wax · 2022 to 2026
$2.4M
NHLBI NIH HHS R01 HL157277NIA NIH HHS R01 AG072732
6 · The paper itself

Abstract

Structural and functional assessment of human cardiac organoids (hCOs) is essential for pharmaceutical drug screening and disease modeling. Existing evaluation approaches have provided valuable insights, but many rely on invasive sensors that may influence contractility, or on 2D imaging approaches that are constrained by geometric assumptions and restrict field of view. To address these challenges, we present a non-invasive imaging approach using 4D optical coherence tomography (4D-OCT) to reconstruct a synchronized, volumetric video of beating hCOs by denoising, segmenting, and synchronizing adjacent time-series B-scan stacks. We used 4D-OCT to visualize the morphological deformation of beating hCOs, enabling quantification of chamber deformation ratio (CDR) and deformation fraction (DF). Ultimately, our 4D-OCT pipeline measured an 8-fold higher DF in the vascular endothelial growth factor-treated hCO compared to the control hCO for proof of concept. These findings demonstrate the feasibility of performing non-invasive functional assessment, paving the way for advanced cardiac disease modeling and drug screening in hCOs using 4D-OCT.

Identifiers

PMID42770012
PMCPMC13592243

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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.