Cargando…

Time-lapse technology for embryo culture and selection

Culturing of human embryos in optimal conditions is crucial for a successful in vitro fertilisation (IVF) programme. In addition, the capacity to assess and rank embryos correctly for quality will allow for transfer of the potentially ‘best’ embryo first, thereby shortening the time to pregnancy, al...

Descripción completa

Detalles Bibliográficos
Autores principales: Lundin, Kersti, Park, Hannah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7720962/
https://www.ncbi.nlm.nih.gov/pubmed/32096675
http://dx.doi.org/10.1080/03009734.2020.1728444
_version_ 1783619944068415488
author Lundin, Kersti
Park, Hannah
author_facet Lundin, Kersti
Park, Hannah
author_sort Lundin, Kersti
collection PubMed
description Culturing of human embryos in optimal conditions is crucial for a successful in vitro fertilisation (IVF) programme. In addition, the capacity to assess and rank embryos correctly for quality will allow for transfer of the potentially ‘best’ embryo first, thereby shortening the time to pregnancy, although not improving cumulative pregnancy and live birth rates. It will also encourage and facilitate the implementation of single embryo transfers, thereby increasing safety for mother and offspring. Time-lapse technology introduces the concept of stable culture conditions, in connection with the possibility of continuous viewing and documenting of the embryo throughout development. However, so far, even when embryo quality scoring is based on large datasets, or when using the time-lapse technology, the morphokinetic scores are still mainly based on subjective and intermittent annotations of morphology and timings. Also, the construction of powerful algorithms for widespread use is hampered by large variations in culture conditions between individual IVF laboratories. New methodology, involving machine learning, where every image from the time-lapse documentation is analysed by a computer programme, looking for patterns that link to outcome, may in the future provide a more accurate and non-biased embryo selection.
format Online
Article
Text
id pubmed-7720962
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Taylor & Francis
record_format MEDLINE/PubMed
spelling pubmed-77209622020-12-10 Time-lapse technology for embryo culture and selection Lundin, Kersti Park, Hannah Ups J Med Sci Review Articles Culturing of human embryos in optimal conditions is crucial for a successful in vitro fertilisation (IVF) programme. In addition, the capacity to assess and rank embryos correctly for quality will allow for transfer of the potentially ‘best’ embryo first, thereby shortening the time to pregnancy, although not improving cumulative pregnancy and live birth rates. It will also encourage and facilitate the implementation of single embryo transfers, thereby increasing safety for mother and offspring. Time-lapse technology introduces the concept of stable culture conditions, in connection with the possibility of continuous viewing and documenting of the embryo throughout development. However, so far, even when embryo quality scoring is based on large datasets, or when using the time-lapse technology, the morphokinetic scores are still mainly based on subjective and intermittent annotations of morphology and timings. Also, the construction of powerful algorithms for widespread use is hampered by large variations in culture conditions between individual IVF laboratories. New methodology, involving machine learning, where every image from the time-lapse documentation is analysed by a computer programme, looking for patterns that link to outcome, may in the future provide a more accurate and non-biased embryo selection. Taylor & Francis 2020-02-25 /pmc/articles/PMC7720962/ /pubmed/32096675 http://dx.doi.org/10.1080/03009734.2020.1728444 Text en © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.http://creativecommons.org/licenses/by/4.0/
spellingShingle Review Articles
Lundin, Kersti
Park, Hannah
Time-lapse technology for embryo culture and selection
title Time-lapse technology for embryo culture and selection
title_full Time-lapse technology for embryo culture and selection
title_fullStr Time-lapse technology for embryo culture and selection
title_full_unstemmed Time-lapse technology for embryo culture and selection
title_short Time-lapse technology for embryo culture and selection
title_sort time-lapse technology for embryo culture and selection
topic Review Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7720962/
https://www.ncbi.nlm.nih.gov/pubmed/32096675
http://dx.doi.org/10.1080/03009734.2020.1728444
work_keys_str_mv AT lundinkersti timelapsetechnologyforembryocultureandselection
AT parkhannah timelapsetechnologyforembryocultureandselection