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Analysis pipeline to quantify uterine gland structural variations.

Sameed Khan1,2, May Shen1,2, Aishwarya Bhurke1,2

  • 1Department of Obstetrics, Gynecology and Reproductive Biology, Michigan State University, East Lansing, Michigan, USA.

Developmental Dynamics : an Official Publication of the American Association of Anatomists
|November 15, 2024
PubMed
Summary

We developed a new image analysis pipeline to segment and analyze uterine gland shape in 3D. This tool reveals how uterine glands change during early pregnancy in mice, humans, and guinea pigs.

Keywords:
branching morphogenesisprominencesegmentationspantortuosityuterine glands

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Area of Science:

  • Reproductive biology
  • Biomedical imaging
  • Computational anatomy

Background:

  • Advances in whole tissue imaging and clearing enable 3D reconstruction of deep uterine glands.
  • Limited platforms exist for analyzing these complex 3D gland datasets.
  • A novel pipeline is presented for segmenting and analyzing uterine gland morphology.

Purpose of the Study:

  • To develop and validate a computational pipeline for quantitative analysis of 3D uterine gland structure.
  • To investigate dynamic changes in uterine gland morphology during peri-implantation in a mouse model.
  • To assess the cross-species applicability of the analysis pipeline to human and guinea pig uterine glands.

Main Methods:

  • A computational pipeline was developed for segmenting 3D uterine gland images.
  • Metrics for gland length, shape, and branching were derived.
  • The pipeline was applied to mouse, human, and guinea pig uterine glands at peri-implantation stages.

Main Results:

  • The analysis pipeline successfully segmented uterine glands and extracted morphological features.
  • Uterine glands exhibited significant changes in length, tortuosity, and proximity to the lumen during embryo/egg entry.
  • Gland reorganization around the embryo implantation site was observed, with branch number remaining constant.
  • The pipeline demonstrated feasibility across different mammalian species.

Conclusions:

  • This image analysis pipeline provides a resource for quantitative and reproducible morphological feature extraction from 3D uterine gland images.
  • The findings offer insights into the functional and structural adaptations of uterine glands during early pregnancy.
  • The developed methodology supports comparative studies of uterine gland biology across species.