A high-resolution image of mouse whole-testis cross-section analysis with cellular and tubular labels as defined by STAGETOOL.

Citation Author(s):
Juho-Antti
Mäkelä
University of Turku, Institute of Biomedicine
Submitted by:
Juho-Antti Makela
Last updated:
Thu, 06/02/2022 - 02:38
DOI:
10.21227/em1y-9j15
License:
Creative Commons Attribution
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Categories:
Machine Learning
Biomedical and Health Sciences
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Abstract 

For whole-testis cross-section analysis the output predictions from 1024x1024 images were merged and the whole-testis cross-section image was recompiled, with the annotated cellular and tubular objects, which were derived from cell and tubule models, respectively . This figure provides a high-resolution image of whole-testis cross-section analysis with cellular and tubular labels. 

 

Instructions: 

This figure is produced by STAGETOOL, an automated method for recognition of 9 seminiferous epithelial cell types in the mouse and five developmental stage categories of the epithelial cycle.

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