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10 December 2022 Oocyte quality evaluation: a review of engineering approaches toward clinical challenges
Peyman Palay, Davood Fathi, Rouhollah Fathi
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Abstract

Although assisted reproductive technology has been very successful for the treatment of infertility, its steps are still dependent on direct human opinion. An important step of assisted reproductive treatments in lab for women is choosing an oocyte that has a better quality. This step would predict which oocyte has developmental competence leading to healthy baby. Observation of the oocyte morphological quality indicators under microscope by an embryologist is the most common evaluation method of oocyte quality. Such subjective method which relies on embryologist's experience may vary and leads to misdiagnosis. An alternative solution to eliminate human misjudging in traditional methods and overcome the limitations of them is always using engineering-based procedure. In this review article, we deeply study and categorize engineering-based methods applied for the evaluation of oocyte quality. Then, the challenges in laboratories and clinics settings move forward with translational medicine perspective in mind for all those methods which had been studied were discussed. Finally, a standardized process was presented, which may help improving and focusing the research in this field. Moreover, effective suggestion techniques were introduced that are expected they would be complementary methods to accelerate future researches. The aim of this review was to create a new prospect with the engineering approaches to evaluate oocyte quality and we hope this would help infertile couples to get a baby.

Graphical Abstract

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Peyman Palay, Davood Fathi, and Rouhollah Fathi "Oocyte quality evaluation: a review of engineering approaches toward clinical challenges," Biology of Reproduction 108(3), 393-407, (10 December 2022). https://doi.org/10.1093/biolre/ioac219
Received: 10 October 2022; Accepted: 30 November 2022; Published: 10 December 2022
KEYWORDS
assisted reproductive technology
clinical challenge
engineering methods
oocyte evaluation
oocyte quality
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