Quantitative morphometrical characterization of human pronuclear zygotes
Author(s) -
A. Beuchat,
P. Thévenaz,
Michaël Unser,
Thomas Ebner,
A. Senn,
F. Urner,
M. Germond,
Carlos Óscar S. Sorzano
Publication year - 2008
Publication title -
human reproduction
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.446
H-Index - 226
eISSN - 1460-2350
pISSN - 0268-1161
DOI - 10.1093/humrep/den206
Subject(s) - zygote , in vitro fertilisation , biology , computer science , embryo , artificial intelligence , pattern recognition (psychology) , microbiology and biotechnology , embryogenesis
Identification of embryos with high implantation potential remains a challenge in in vitro fertilization (IVF). Subjective pronuclear (PN) zygote scoring systems have been developed for that purpose. The aim of this work was to provide a software tool that enables objective measuring of morphological characteristics of the human PN zygote.
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