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30 December 2019 Hyperspectral imaging of the early embryo: can it detect chromosome abnormalities and predict IVF success?
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Abstract
Despite its wide-spread use, the success rate of assisted reproductive technologies including in vitro fertilization is less than 20%. Most human embryos are mosaic for chromosome abnormalities: containing cells that are euploid (normal) and aneuploid (incorrect number of chromosomes). Currently, a cell biopsy is used in IVF clinics to diagnose aneuploidy in the embryo but this does not provide a diagnosis of how many cells are aneuploid in the entire embryo. Hence, the development of a non-invasive tool to determine the proportion of aneuploid cells would likely improve IVF success. Aneuploidy in human embryos leads to altered metabolism. The co-factors utilized in cellular metabolism are autofluorescent and can be used to predict the metabolic state of cells. Here we used hyperspectral imaging to noninvasively assess intracellular fluorophores and thus metabolism. In this study, we utilized a powerful model of embryo aneuploidy where we generate mouse embryos with differing ratios of euploid:aneuploid cells. We also used primary human fibroblast cells with known aneuploidies to make comparison with euploid cells. Hyperspectral imaging of 1:3 chimeric embryos showed a distinct spectral profile compare to the control/normal embryos. The abundance of FAD in the inner cell mass (cells that form the fetus) of euploid and aneuploid blastocysts was strikingly different. For human cell lines, we were able to clearly distinguish between euploid and aneuploid with different karyotypes. These data show hyperspectral imaging is able to distinguish cells based on their ploidy status making it a promising tool in assessing embryo mosaicism.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tiffany C. Y. Tan, Carl Campugan, Saabah B. Mahbub, Jared M. Campbell, Abbas Habibalahi, Sanam Mustafa, Ewa M. Goldys, Jeremy G. Thompson, and Kylie R. Dunning "Hyperspectral imaging of the early embryo: can it detect chromosome abnormalities and predict IVF success?", Proc. SPIE 11202, Biophotonics Australasia 2019, 112020M (30 December 2019); https://doi.org/10.1117/12.2541282
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