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Chapter 19 - Oocyte Grading by Morphological Evaluation

from Section 3 - Gametes

Published online by Cambridge University Press:  07 August 2023

By
Başak Balaban  and
İpek Keleş
Edited by
Markus H. M. Montag  and
Dean E. Morbeck
Markus H. M. Montag
Affiliation:
ilabcomm GmbH, St Augustin, Germany
Dean E. Morbeck
Affiliation:
Kindbody Inc, New York City
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Summary

This chapter describes a simple and reproducible procedure for oocyte retrieval, revealing the method to employ and important points to keep in mind to provide optimal conditions in oocytes care.

Keywords

oocyteoocyte qualitymorphology
Type
Chapter
Information
Principles of IVF Laboratory Practice
Laboratory Set-Up, Training and Daily Operation
 , pp. 144 - 150
Publisher: Cambridge University Press
Print publication year: 2023

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References

Alpha Scientists in Reproductive Medicine and ESHRE Special Interest Group of Embryology. The Istanbul consensus workshop on embryo assessment: proceedings of an expert meeting. Hum Reprod 2011; 26:1270–83.Google Scholar
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Rienzi, L., Balaban, B., Ebner, T. and Mandelbaum, J. The oocyte. Hum Reprod 2012; 27:2–21.CrossRefGoogle ScholarPubMed
Balaban, B. and Urman, B. Effect of oocyte morphology on embryo development and implantation. Reprod Biomed Online 2006; 12:608–15.CrossRefGoogle ScholarPubMed
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Stigliani, S., Moretti, S., Casciano, I., et al. Presence of aggregates of smooth endoplasmic reticulum in MII oocytes affects oocyte competence: molecular-based evidence. Mol Hum Reprod 2018; 24(6):310–17.CrossRefGoogle ScholarPubMed
Ferreux, L., Sallem, A., Chargui, A., et al. Is it time to reconsider how to manage oocytes affected by smooth endoplasmic reticulum aggregates? Hum Reprod 2019; 34(4):591–600.Google Scholar
Ferrarini Zanetti, B., Paes de Almeida Ferreira Braga, D., Souza Setti, A., et al. Is perivitelline space morphology of the oocyte associated with pregnancy outcome in intracytoplasmic sperm injection cycles. Eur J Obstet Gynecol Reprod Biol 2018; 231:225–9.CrossRefGoogle ScholarPubMed
Rienzi, L., Vajta, G. and Ubaldi, F. Predictive value of oocyte morphology in human IVF: a systematic review of the literature. Hum Reprod Update 2011; 17(1):34–45.Google Scholar
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Firuzinia, S., Afzali, S. M., Ghasemian, F. and Mirroshandel, S. A. A robust deep learning-based multiclass segmentation method for analyzing human metaphase II oocyte images. Comput Methods Programs Biomed 2021; 201:105946.Google Scholar

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