ArticleNature biotechnology2026
Live imaging of late-stage preimplantation human embryos reveals de novo mitotic errors.
Article in Nature biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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.
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Who cites it
7 citing papers in PubMed.
- From Static to Dynamic: Fluorescence Imaging Technology Advances Precise Embryo Evaluation.Small methods · 2026Review
- Metabolic imaging for gamete and embryo assessment through advanced microscopy technologies: a novel avenue for artificial intelligence?Human reproduction (Oxford, England) · 2026Review
- Live imaging of late-stage preimplantation human embryos reveals de novo mitotic errors.Nature biotechnology · 2026Article
- Asymmetric attrition and secondary chromosome destabilization after double-strand breaks in human embryonic development.Nature communications · 2026Article
- Review
- Multinucleation in the Human Embryo's First Mitosis: Linking Spindle Geometry Defects, SAC Tolerance, Chromosome Segregation, and Nuclear Envelope Reassembly.Reproductive medicine and biologyReview
- Epigenetic Reprogramming and Zygotic Genome Activation in Human Preimplantation Development: Mechanisms, Models, and Translational Prospects.Reproductive medicine and biologyReview
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Existing methods to image chromosome segregation errors are not suitable for studying human embryos at advanced preimplantation stages. As chromosomal errors are a leading cause of miscarriage and infertility, it remains unclear whether missegregation arises postfertilization. Here we optimize nuclear DNA labeling via messenger RNA electroporation and apply light-sheet live imaging to reveal chromosome segregation errors immediately before implantation. We show that embryos at advanced preimplantation stages display missegregation, including multipolar spindle formation, lagging chromosomes, misalignment and mitotic slippage. Most lagging chromosomes are passively inherited rather than reincorporated. To trace individual nuclei, we developed an open-source, semi-automated segmentation method using a customized deep learning model optimized for variability in embryo size, shape and signal. With this approach, we find most labeled cells remain externally positioned, consistent with placental rather than inner cell mass fate. Our findings raise questions about clinical uses of preimplantation genetic testing for aneuploidy, while providing broadly applicable imaging and segmentation methods for studying diverse cellular structures in human embryos.
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Registered trials
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