| CPC G16B 20/00 (2019.02) [G06T 7/0012 (2013.01); G06T 11/00 (2013.01); G16B 40/20 (2019.02); G06T 2200/24 (2013.01); G06T 2207/10056 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30004 (2013.01)] | 20 Claims |
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1. A method comprising:
obtaining, by a user computing entity, respective specimen data comprising imaging data, the imaging data comprising at least one of respective Raman micro-spectroscopy data or respective quantitative phase imaging (QPI) data for each individual specimen of one or more specimen, the imaging data for each individual specimen of the one or more specimen captured via non-invasive imaging of the individual specimen, wherein the imaging data is captured of the one or more specimen with the one or more specimen contained within a slide that spatially isolates individual specimen of the one or more specimen, and wherein the respective specimen data is associated with sample data that provides at least one of demographic information or medical history information of a source of the individual specimen;
generating, by the user computing entity, a specimen scoring request comprising at least a portion of the respective specimen data;
providing, by the user computing entity, the specimen scoring request for receipt by at least one network computing entity;
receiving, by the user computing entity, a specimen response comprising a respective specimen score for each of the one or more specimen, the respective specimen score for each of the one or more specimen generated by a machine-learning trained specimen analysis model executed by the at least one network computing entity and trained to receive a representation of the imaging data comprising the at least one of respective Raman micro-spectroscopy data or respective QPI data and a representation of the sample data as input and, as output, provide a prediction of a fertilization event outcome for the individual specimen, the prediction determined based at least in part on DNA characteristics of the individual specimen ascertained from at least one the representation of the imaging data or the representation of the sample data, the specimen response provided by the at least one network computing entity;
processing, by the user computing entity, the respective specimen score for at least one of the one or more specimen to generate a graphical representation of the respective specimen score; and
causing, by the user computing entity, display of the graphical representation of the respective specimen score.
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