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    Home > Biochemistry News > Biotechnology News > Using Raman spectroscopy to detect D3 embryo culture fluid can predict embryo cyst formation rate

    Using Raman spectroscopy to detect D3 embryo culture fluid can predict embryo cyst formation rate

    • Last Update: 2021-12-01
    • Source: Internet
    • Author: User
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    A latest study from the CITIC Xiangya Hospital team shows that using Raman spectroscopy and deep learning classification models can detect D3 embryo culture and predict the development potential of D3 embryos from cleavage stage to blastocyst stage, with an overall accuracy rate of 73.


    Relevant research results were published on "Frontiers in Physiology" entitled "Non-invasive Metabolomic Profiling of Embryo Culture Medium Using Raman Spectroscopy With Deep Learning Model Predicts the Blastocyst Development Potential of Embryos"


    This research is based on Raman spectroscopy technology to achieve non-invasive prediction of embryonic development potential, using Raman spectroscopy to characterize the metabolic spectrum of embryo culture fluid on day 3 (D3), and establish a classification model based on deep learning to distinguish whether it can develop to An embryo sample at the blastocyst stage


    In addition, this study combines Raman spectroscopy and deep learning classification models.


    In the study, the research team collected the Raman spectrum data of 80 blastocysts and 48 non-blastocyst samples from 34 patients.


    First, the researchers applied Raman spectroscopy to detect the discarded culture medium of embryos cultured in vitro to the third day (D3), and used the relevant Raman data after learning and processing of the deep learning model to predict the cyst formation rate of the embryo


    Raman spectroscopy, unsupervised clustering and principal component analysis

    In this study, the sensitivity of the deep learning model is 77.


    Deep learning model results

    Secondly, this study discovered for the first time the biomarkers related to D3 embryo cyst formation


    Raman shift based on linear discriminant analysis (LDA)

    In addition to the above research, the researchers found that Raman can also be used for the detection of new coronavirus and cancer


    In summary, research shows that Raman spectroscopy has great potential in non-invasive embryo detection, providing a low-cost, high-quality third-day embryo detection method


    We have reason to believe that the potential of Raman spectroscopy in the future is huge


    references:

    Zheng,W.


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