Analysis pipeline to quantify uterine gland structural variations.

Abstract

Background: Technical advances in whole tissue imaging and clearing have allowed 3D reconstruction of exocrine uterine glands deep-seated in the endometrium. However, there are limited gland structure analysis platforms to analyze these imaging data sets. Here, we present a pipeline for segmenting and analyzing uterine gland shape.

Results: Using our segmentation methodology, we derive metrics to describe gland length, shape, and branching patterns. We then quantify gland behavior with respect to organization around the embryo and proximity of each gland to the uterine lumen. We apply this image analysis pipeline to uterine glands at the peri-implantation time points of a mouse pregnancy. Our analysis reveals that at the time of embryo or egg entry into the uterus, glands show changes in length, tortuosity, and proximity to the uterine lumen while gland branch number stays the same. Eventually, these shape changes aid in reorganization of the glands around the embryo implantation site. We further apply our analysis pipeline to human and guinea pig uterine glands, extending feasibility to other mammalian species.

Conclusion: This work serves as a resource for researchers to extract quantitative and reproducible morphological features from three-dimensional uterine gland images to reveal insights about functional and structural patterns.