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Related Experiment Video

Updated: Dec 26, 2025

A Semi-high-throughput Imaging Method and Data Visualization Toolkit to Analyze C. elegans Embryonic Development
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Development of automated annotation software for human embryo morphokinetics.

M Feyeux1,2, A Reignier1,3, M Mocaer1

  • 1Nantes Université, Inserm, Centre de Recherche en Transplantation et immunologie, Unité mixte de recherche 1064, Institut de Transplantatino Urologie Néphrologie, F-44000 Nantes, France.

Human Reproduction (Oxford, England)
|March 13, 2020
PubMed
Summary
This summary is machine-generated.

An automated tool accurately annotates human embryo development using time-lapse imaging, achieving high concordance with expert analysis. This technology enables efficient, large-scale morphokinetic data evaluation for improved embryo quality assessment.

Keywords:
IVFautomationcomputer-assisted diagnosisembryo culture techniquesembryonic developmentmorphokineticstime-lapse imaging

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Area of Science:

  • Reproductive biology
  • Medical imaging analysis
  • Assisted reproductive technology

Background:

  • Morphokinetic parameters from time-lapse imaging are crucial for human embryo quality assessment.
  • Manual annotation of these parameters is time-consuming and subject to operator variability.

Purpose of the Study:

  • To develop and validate an automated software tool for annotating human embryo morphokinetic parameters using image analysis.
  • To assess the concordance of automated annotation with expert manual annotation.

Main Methods:

  • Developed an automated tool based on gray level coefficient of variation and zona pellucida thickness detection.
  • Validated the tool on 701 time-lapse videos of human embryos from fertilization to blastocyst stage.
  • Compared automated event detection with manual annotations by trained clinical experts.

Main Results:

  • The automated tool demonstrated good overall concordance with manual expert annotation (r² = 0.92).
  • While individual embryo differences were noted, the system effectively captured key morphokinetic parameters.
  • The tool's performance is influenced by video duration, with longer videos providing more data.

Conclusions:

  • The developed automated annotation tool shows high accuracy and concordance with expert analysis.
  • This system facilitates high-throughput analysis of morphokinetic data, potentially offering new insights into embryo quality and implantation prediction.
  • Further multicentric external evaluation is recommended to confirm the tool's performance across different settings.