Literature DB >> 30810735

Time-lapse imaging: the state of the art†.

Raquel Del Gallego1, José Remohí1, Marcos Meseguer1.   

Abstract

The introduction of time-lapse imaging to clinical in vitro fertilization practice enabled the undisturbed monitoring of embryos throughout the entire culture period. Initially, the main objective was to achieve a better embryo development. However, this technology also provided an insight into the novel concept of morphokinetics, parameters regarding embryo cell dynamics. The vast amount of data obtained defined the optimal ranges in the cell-cycle lengths at different stages of embryo development. This added valuable information to embryo assessment prior to transfer. Kinetic markers became part of embryo evaluation strategies with the potential to increase the chances of clinical success. However, none of them has been established as an international standard. The present work aims at describing new approaches into time-lapse: progress to date, challenges, and possible future directions.
© The Author(s) 2019. Published by Oxford University Press on behalf of Society for the Study of Reproduction. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  clinical outcome; embryo selection algorithm; implantation potential; in vitro fertilization (IVF); morphokinetics; time-lapse

Year:  2019        PMID: 30810735     DOI: 10.1093/biolre/ioz035

Source DB:  PubMed          Journal:  Biol Reprod        ISSN: 0006-3363            Impact factor:   4.285


  6 in total

Review 1.  The efficacy of add-ons: selected IVF "add-on" procedures and future directions.

Authors:  Haley N Glatthorn; Alan Decherney
Journal:  J Assist Reprod Genet       Date:  2022-01-23       Impact factor: 3.412

2.  Digital PCR Detection of mtDNA/gDNA Ratio in Embryo Culture Medium for Prediction of Embryo Development Potential.

Authors:  Qing Zhang; Hong Ji; Jian Shi; Longmei Wang; Lu Ding; Yufei Jiang; Xianjing Huang; Pingping Qiu; Ping Li
Journal:  Pharmgenomics Pers Med       Date:  2021-04-30

3.  Using deep learning to predict the outcome of live birth from more than 10,000 embryo data.

Authors:  Bo Huang; Shunyuan Zheng; Bingxin Ma; Yongle Yang; Shengping Zhang; Lei Jin
Journal:  BMC Pregnancy Childbirth       Date:  2022-01-16       Impact factor: 3.007

4.  Does conventional morphological evaluation still play a role in predicting blastocyst formation?

Authors:  Xiaoming Jiang; Jiali Cai; Lanlan Liu; Zhenfang Liu; Wenjie Wang; Jinhua Chen; Chao Yang; Jie Geng; Caihui Ma; Jianzhi Ren
Journal:  Reprod Biol Endocrinol       Date:  2022-04-19       Impact factor: 4.982

5.  Faster Fertilization and Cleavage Kinetics Reflect Competence to Achieve a Live Birth: Data from Single-Embryo Transfer Cycles.

Authors:  Yongle Yang; Xiyuan Dong; Jian Bai; Lei Jin; Bo Huang
Journal:  Biomed Res Int       Date:  2022-07-15       Impact factor: 3.246

6.  Increased blastomere number is associated with higher live birth rate in day 3 embryo transfer.

Authors:  Lifeng Tian; Leizhen Xia; Hongbo Liu; Yan Kou; Zhihui Huang; Xingwu Wu; Lu Fan; Jialyu Huang; Qiongfang Wu
Journal:  BMC Pregnancy Childbirth       Date:  2022-03-11       Impact factor: 3.007

  6 in total

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