Label-free 3D subcellular phenotyping of mouse embryos by holotomography enables early prediction of blastocyst formation
lee, c.; kim, g.; Shin, T.; Lee, S.; Kim, J. Y.; Choi, K. H.; Do, J.; Park, J.; Do, J.; Kim, J. H.; Park, Y.
Show abstract
Accurate embryo quality assessment is central to improving outcomes in in vitro fertilization (IVF), yet current practice relies mainly on subjective two-dimensional (2D) morphology. Here we present a label-free framework for quantitative three-dimensional (3D) embryo phenotyping using low-coherence holotomography (HT). Time-lapse HT enabled volumetric imaging of mouse embryos from the 2-cell stage to the blastocyst without affecting developmental competence, capturing subcellular features at high resolution. Quantitative analysis revealed that matured embryos exhibited higher blastomere counts, greater spatial variability, and tighter nuclear packing, whereas arrested embryos showed enlarged blastomeres, elevated cytoplasmic heterogeneity, and fewer, larger nuclei. Machine learning models trained on these features achieved robust prediction of blastocyst formation (AUC up to 0.958). Together, these findings demonstrate that HT provides objective and interpretable 3D biomarkers that could augment and transform embryo selection in IVF.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Using unlabeled information of embryo siblings from the same cohort cycle to enhance in vitro fertilization implantation prediction 95%
- Self-organization of Tissue Growth by Interfacial Mechanical Interactions in Multi-layered Systems 93%
- Information-Distilled Generative Label-Free Morphological Profiling Encodes Cellular Heterogeneity 92%
Similar papers in this journal
- WaveletSEG: Automatic wavelet-based 3D nuclei segmentation and analysis for multicellular embryo quantification 94%
- Remote-refocusing light-sheet fluorescence microscopy enables 3D imaging of electromechanical coupling of hiPSC-derived and adult cardiomyocytes in co-culture 93%
- Computational 4D-OCM for label-free imaging of collective cell invasion and force-mediated deformations in collagen 93%
Similar papers in this journal
- OpenEMMU: a versatile, open-source EdU multiplexing methodology for studying DNA replication and cell cycle dynamics 94%
- Three-dimensional understanding of the morphological complexity of the human uterine endometrium 94%
- Label-free Cell Tracking Enables Collective Motion Phenotyping in Epithelial Monolayers 92%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.