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Hyperspectral imaging of the early embryo: can it detect chromosome abnormalities and predict IVF success? (Conference Presentation)
Author(s): Kylie R. Dunning; Carl A. Campugan; Tiffany C. Y. Tan; Saabah B. Mahbub; Ewa M. Goldys; Jeremy G Thompson
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Paper Abstract

Despite its wide-spread use, the success rate of assisted reproductive technologies including IVF is less than 20% in Australia/New Zealand. Most early human embryos are mosaic for chromosome abnormalities, containing a proportion of normal and abnormal cells. The most common chromosomal abnormality is aneuploidy: incorrect number of chromosomes. This form of mosaicism is thought account for early pregnancy loss in IVF. Current single cell biopsies of embryos are not diagnostic for the proportion of cells that are aneuploid (degree of heterogeneity/mosaicism). Thus, development of a non-invasive tool to determine the proportion of aneuploid cells facilitating segregation of embryos with a low percentage of aneuploid cells would likely improve IVF success rates. In other cells, including cancer cells, aneuploidy results in altered cellular metabolism. In this study we utilised hyperspectral imaging as a means of non-invasively measuring cellular metabolism in the early embryo. We utilised a mouse model where we manipulated the ratio of aneuploid:normal cells. Aneuploid embryos were generated by treatment during division from 4 to 8 cells using a reversible spindle assembly check point inhibitor, reversine. Eight-cell aneuploid embryos were dissociated and joined with control/normal cells to generate 1:1 aneuploid:normal chimeras. Hyperspectral imaging of 1:1 chimeric embryos had a distinct spectral profile that varied dramatically from the control/normal embryos. Interestingly, entirely aneuploid embryos showed a spectral profile dissimilar from both normal and chimeric embryos. These data show hyperspectral imaging is capable of distinguishing between embryos with varying degrees of aneuploidy making it a promising tool in assessing embryo health.

Paper Details

Date Published: 4 March 2019
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Proc. SPIE 10890, Label-free Biomedical Imaging and Sensing (LBIS) 2019, 108900I (4 March 2019); doi: 10.1117/12.2510912
Show Author Affiliations
Kylie R. Dunning, ARC Ctr. for Nanoscale BioPhotonics (Australia)
The Univ. of Adelaide (Australia)
Carl A. Campugan, ARC Ctr. for Nanoscale BioPhotonics (Australia)
The Univ. of Adelaide (Australia)
Tiffany C. Y. Tan, ARC Ctr. for Nanoscale BioPhotonics (Australia)
The Univ. of Adelaide (Australia)
Saabah B. Mahbub, ARC Ctr. for Nanoscale BioPhotonics (Australia)
Macquarie Univ. (Australia)
Ewa M. Goldys, ARC Ctr. for Nanoscale BioPhotonics (Australia)
The Univ. of New South Wales (Australia)
Jeremy G Thompson, ARC Ctr. for Nanoscale BioPhotonics (Australia)
The Univ. of Adelaide (Australia)


Published in SPIE Proceedings Vol. 10890:
Label-free Biomedical Imaging and Sensing (LBIS) 2019
Natan T. Shaked; Oliver Hayden, Editor(s)

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