Prediction of DNA Integrity from Morphological Parameters Using a Single-Sperm DNA Fragmentation Index Assay.
DNA integrity
hyaluronic acid
machine learning
single cell
sperm morphology
Journal
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
ISSN: 2198-3844
Titre abrégé: Adv Sci (Weinh)
Pays: Germany
ID NLM: 101664569
Informations de publication
Date de publication:
07 Aug 2019
07 Aug 2019
Historique:
received:
27
03
2019
entrez:
14
8
2019
pubmed:
14
8
2019
medline:
14
8
2019
Statut:
epublish
Résumé
Intracytoplasmic sperm injection is a popular form of in vitro fertilization, where single sperm are selected by a clinician and injected into an egg. Whereas clinicians employ general morphology-based guidelines to select the healthiest-looking sperm, it remains unclear to what extent an individual sperm's physical parameters correlate with the quality of internal DNA cargo-a measurement that cannot be obtained without first damaging the sperm. Herein, a single-cell DNA fragmentation index (DFI) assay is demonstrated, which combines the single-cell nature of the acridine orange test with the quantitative aspect of the sperm chromatin structure assay, to create a database of DFI-scored brightfield images. Two regression predictive models, linear and nonlinear regression, are used to quantify the correlations between individual sperm morphological parameters and DFI score (with model test
Identifiants
pubmed: 31406675
doi: 10.1002/advs.201900712
pii: ADVS1143
pmc: PMC6685501
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1900712Déclaration de conflit d'intérêts
The authors declare no conflict of interest.
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