ArticleProceedings of the National Academy of Sciences of the United States of America2023
Imaging the subcellular viscoelastic properties of mouse oocytes.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- From Cytoskeletal Remodeling to Oocyte Quality: The Emerging Role of Mechanics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Biophysical, cellular, and mouse model approaches to investigate the mechanical regulation of folliculogenesis.Seminars in cell & developmental biology · 2025Review
- Noninvasive characterization of oocyte deformability in microconstrictions.Science advances · 2025Article
- Rapid Stiffness Mapping in Soft Biologic Tissues With Micrometer Resolution Using Optical Multifrequency Time-Harmonic Elastography.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Long-range repulsion between chromosomes in mammalian oocyte spindles.Science advances · 2024Article
- Viscoelasticity during development: What is it? and why should you care?Seminars in cell & developmental biologyReview
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Authors and funding
5 authors.
Funding
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Abstract
In recent years, cellular biomechanical properties have been investigated as an alternative to morphological assessments for oocyte selection in reproductive science. Despite the high relevance of cell viscoelasticity characterization, the reconstruction of spatially distributed viscoelastic parameter images in such materials remains a major challenge. Here, a framework for mapping viscoelasticity at the subcellular scale is proposed and applied to live mouse oocytes. The strategy relies on the principles of optical microelastography for imaging in combination with the overlapping subzone nonlinear inversion technique for complex-valued shear modulus reconstruction. The three-dimensional nature of the viscoelasticity equations was accommodated by applying an oocyte geometry-based 3D mechanical motion model to the measured wave field. Five domains-nucleolus, nucleus, cytoplasm, perivitelline space, and zona pellucida-could be visually differentiated in both oocyte storage and loss modulus maps, and statistically significant differences were observed between most of these domains in either property reconstruction. The method proposed herein presents excellent potential for biomechanical-based monitoring of oocyte health and complex transformations across lifespan. It also shows appreciable latitude for generalization to cells of arbitrary shape using conventional microscopy equipment.
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