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Related Experiment Video

Updated: Aug 1, 2025

A High-Throughput In Situ Method for Estimation of Hepatocyte Nuclear Ploidy in Mice
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Deep-Learning-Based Hepatic Ploidy Quantification Using H&E Histopathology Images.

Zhuoyu Wen1, Yu-Hsuan Lin2, Shidan Wang1

  • 1Quantitative Biomedical Research Center, Department of Population and Data Sciences, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.

Genes
|April 28, 2023
PubMed
Summary

This study introduces a new computational method to quantify liver cell polyploidy using routine H&E images. This accessible approach automates ploidy analysis, aiding liver disease research.

Keywords:
deep learninghematoxylin-eosin (H&E) histopathology imagesliverploidy

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Area of Science:

  • Cell Biology
  • Computational Pathology
  • Genomics

Background:

  • Polyploidy, or whole genome duplication, is common in liver cells but difficult to quantify clinically.
  • Current methods like flow cytometry and immunofluorescence are costly and time-consuming.
  • Hematoxylin-eosin (H&E) images are standard in clinical practice but lack automated ploidy analysis.

Purpose of the Study:

  • To develop an accessible computational algorithm for quantifying hepatic polyploidy.
  • To enable ploidy analysis using routine H&E histopathology images.
  • To provide a tool for studying polyploidy's role in liver diseases.

Main Methods:

  • Developed a deep learning algorithm to segment and classify cell nuclei in H&E images.
  • Determined cellular ploidy via nuclear distance analysis.
  • Quantified nuclear ploidy using a Gaussian mixture model.
  • Automated the analysis of total hepatocytes and ploidy in regions of interest.

Main Results:

  • Successfully automated hepatic ploidy quantification from H&E images.
  • The algorithm can determine total hepatocyte counts and detailed ploidy status.
  • This represents the first automated ploidy analysis method for H&E images.

Conclusions:

  • The developed algorithm offers an accessible and automated method for hepatic ploidy analysis.
  • This tool can significantly advance research into polyploidy in human liver disease.
  • The approach enhances the clinical utility of standard histopathology images.