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Cleavage and Blastulation

Cleavage and Blastulation

After a large-single-celled zygote is produced via fertilization, the process of cleavage occurs while zygotes travel through the uterine tube. Cleavage is a mitotic cell division that does not result in growth. With each round of successive cell division, daughter cells get increasingly smaller.

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Related Experiment Video

Updated: Apr 25, 2026

Blastomere Explants to Test for Cell Fate Commitment During Embryonic Development

Blastomere Explants to Test for Cell Fate Commitment During Embryonic Development

Published on: January 26, 2013

Automatic blastomere recognition from a single embryo image.

Yun Tian¹, Ya-bo Yin¹, Fu-qing Duan¹

¹College of Information Science and Technology, BNU, Beijing 100875, China.

Computational and Mathematical Methods in Medicine

|August 16, 2014

Summary

This summary is machine-generated.

This study presents a new method for automatically counting blastomeres in human embryos using least square curve fitting (LSCF). The approach accurately identifies blastomere numbers from single images, aiding in embryo viability assessment.

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Area of Science:

Embryology
Medical Imaging
Computer Vision

Background:

Accurate blastomere counting is crucial for human embryo viability assessment.
Challenges exist in automated blastomere recognition due to embryo transparency and blastomere overlap in single images.

Purpose of the Study:

To develop and validate an automated method for blastomere recognition and counting from single human embryo images.
To improve the efficiency and accuracy of embryo viability assessment.

Main Methods:

Image preprocessing involving edge detection, point filtering, dilation, and erosion to isolate blastomere edges.
Least square circle fitting algorithm for automatic blastomere recognition and counting.
Validation on 381 human day 3 embryo images.

Main Results:

The developed method achieved a 0% error rate for 21.59% of embryos.
83.16% of embryos had a false recognition count of 2 or fewer blastomeres.
The method demonstrated efficiency and speed in blastomere counting without requiring 3D reconstruction.

Conclusions:

The proposed least square curve fitting (LSCF) approach offers a simple, efficient, and rapid solution for automatic blastomere counting from single embryo images.
This method can aid in objective and reliable embryo viability assessment.