Evidence map›Paper›PMID 41675378›Full record

ArticleQuantitative biology (Beijing, China)2025

An effective method for quantification, visualization, and analysis of 3D cell shape during early embryogenesis.

Zelin Li, Zhaoke Huang, Jianfeng Cao, Guoye Guan, Zhongying Zhao, Hong Yan

Abstract read
In one paragraph

Article in Quantitative biology (Beijing, China), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Zelin LiDepartment of Electrical Engineering City University of Hong Kong Hong Kong China.ORCID https://orcid.org/0000-0002-0985-8420
Zhaoke HuangDepartment of Electrical Engineering City University of Hong Kong Hong Kong China.
Jianfeng CaoDepartment of Electrical Engineering City University of Hong Kong Hong Kong China.ORCID https://orcid.org/0000-0002-7323-8875
Guoye GuanCenter for Quantitative Biology Peking University Beijing Beijing China.
Zhongying ZhaoDepartment of Biology Hong Kong Baptist University Hong Kong China.
Hong YanDepartment of Electrical Engineering City University of Hong Kong Hong Kong China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Embryogenesis is the most basic process in developmental biology. Effectively and simply quantifying cell shape is challenging for the complex and dynamic 3D embryonic cells. Traditional descriptors such as volume, surface area, and mean curvature often fall short, providing only a global view and lacking in local detail and reconstruction capability. Addressing this, we introduce an effective integrated method, 3D Cell Shape Quantification (3DCSQ), for transforming digitized 3D cell shapes into analytical feature vectors, named

Indexed as

Caenorhabditis elegans (C. elegans)cell shape quantificationeigen features (eigengrid, eigenharmonic & eigenspectrum)lineage analysismorphological reproducibilityspherical harmonics (SPHARM)

Identifiers

PMID41675378
PMCPMC12806067

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.