Evidence map›Paper›PMID 41249434›Full record

ArticleNPJ digital medicine2025

Timelapse-based 3D reconstruction of blastocysts reveals 3D morphologies of human blastocysts.

Bo Huang, Keyi Si, Yaxian Guo, Xuefeng Wang, Wenjing Zhou, Bingxin Ma, Xinling Ren, Li Wu, Jing Yue, Jinzhong Wang and 2 more

Abstract read
In one paragraph

Article in NPJ digital medicine, 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. 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

12 authors.

Bo Huang *Reproductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. hb@tjh.tjmu.edu.cn.
Keyi Si *Reproductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yaxian GuoHariomed Innovation Research Center, Guangzhou, Guangdong, China.
Xuefeng WangHariomed Innovation Research Center, Guangzhou, Guangdong, China.
Wenjing ZhouHariomed Innovation Research Center, Guangzhou, Guangdong, China.
Bingxin MaReproductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xinling RenReproductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Li WuReproductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jing YueReproductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jinzhong WangHariomed Innovation Research Center, Guangzhou, Guangdong, China.
Zhenzhi ShiThe Research Insititute of Advanced Technologies, NingBo University, Ningbo, China. shizhenzhi@nbu.edu.cn.
Lei JinReproductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. ljin@tjh.tjmu.edu.cn.

Funding

National Key Research and Development Program of China 2021YFC2700603
6 · The paper itself

Abstract

Assessing blastocysts from a three-dimensional (3D) perspective introduces a novel approach to clinical embryo evaluation. Currently, assisted reproduction laboratories lack clinically compatible methods to reconstruct 3D blastocyst structures without interfering with embryo culture. To address this, we developed an interference-free and non-invasive method that uses widely adopted time-lapse (TL) imaging systems to reconstruct 3D blastocyst structures directly from multi-focal images and quantitatively calculate various 3D morphological parameters, without requiring embryologist intervention. In this study, we reconstructed 3D structures for 2025 blastocysts using 22,275 TL images and analyzed the association between 20 3D morphological features and embryo transfer outcomes. Several parameters were significantly associated with clinical pregnancy and live birth (P < 0.05). This method is fully compatible with current clinical workflows, providing objective and comprehensive 3D data for blastocyst assessment. It holds strong potential for future implementation in standardized and automated embryo selection based on quantitative morphological criteria.

Identifiers

PMID41249434
PMCPMC12623974

What OpenQuestion holds

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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.