Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Pharmacological intervention of the HMGB1-pCTS-L axis to ameliorate inflammatory diseases.

Frontiers in immunology·2026
Same author

Hepatocyte Circadian Clocks Control Cholesterol Metabolism and Protect From Metabolic Dysfunction-Associated Steatohepatitis.

Cellular and molecular gastroenterology and hepatology·2026
Same author

A longitudinal inquiry into the vicious cycle of social media addiction and self-injury: the moderating role of resilience.

Frontiers in psychiatry·2026
Same author

Commercial AI for CT lung cancer screening: product capabilities, coverage of nodule management tasks and supporting evidence.

European radiology·2026
Same author

Influence of odorants on preterm and term infants during neonatal intensive care: Overview and perspectives.

Zeitschrift fur Geburtshilfe und Neonatologie·2026
Same author

2025 IEEE Scientific Visualization Contest Winner: A Comprehensive Visual Exploration Tool for Multivariate Multi-Objective Optimization of Aluminum Alloy Compositions.

IEEE computer graphics and applications·2026
Same journal

OpenIMC: an open-source platform for analyzing single-cell and spatial proteomics by imaging mass cytometry.

BMC bioinformatics·2026
Same journal

NAP: an open source pipeline for cross-domain microbiome profiling using Nanopore sequencing-derived amplicon data.

BMC bioinformatics·2026
Same journal

SurvGME: an R package for survival analysis with graphical and measurement error models.

BMC bioinformatics·2026
Same journal

SimMapNet: a Bayesian framework for gene regulatory network inference using gene ontology similarities as external hint.

BMC bioinformatics·2026
Same journal

Dual channel drug-drug interactions extraction based on cross attention.

BMC bioinformatics·2026
Same journal

FeSseqdb: a curated sequence-level database and interpretable machine learning framework for identifying iron-sulfur proteins.

BMC bioinformatics·2026
See all related articles

Related Experiment Video

Updated: Jun 15, 2026

Imaging and Quantification of the Hepatic Vasculature of Mice Using Ultrafast Doppler Ultrasound
07:03

Imaging and Quantification of the Hepatic Vasculature of Mice Using Ultrafast Doppler Ultrasound

Published on: July 19, 2024

A fast and robust hepatocyte quantification algorithm including vein processing.

Tetyana Ivanovska1, Andrea Schenk, André Homeyer

  • 1Jacobs University, Bremen, Germany. tetyana.ivanovska@uni-greifswald.de

BMC Bioinformatics
|March 12, 2010
PubMed
Summary
This summary is machine-generated.

An automated method accurately quantifies proliferating hepatocytes in rat liver regeneration studies. This tool analyzes entire histological sections, providing reliable cell counts for research.

More Related Videos

Analysis of Liver Microenvironment During Early Progression of Non-Alcoholic Fatty Liver Disease-Associated Hepatocellular Carcinoma in Zebrafish
09:27

Analysis of Liver Microenvironment During Early Progression of Non-Alcoholic Fatty Liver Disease-Associated Hepatocellular Carcinoma in Zebrafish

Published on: April 1, 2021

A High-Throughput In Situ Method for Estimation of Hepatocyte Nuclear Ploidy in Mice
08:44

A High-Throughput In Situ Method for Estimation of Hepatocyte Nuclear Ploidy in Mice

Published on: April 19, 2020

Related Experiment Videos

Last Updated: Jun 15, 2026

Imaging and Quantification of the Hepatic Vasculature of Mice Using Ultrafast Doppler Ultrasound
07:03

Imaging and Quantification of the Hepatic Vasculature of Mice Using Ultrafast Doppler Ultrasound

Published on: July 19, 2024

Analysis of Liver Microenvironment During Early Progression of Non-Alcoholic Fatty Liver Disease-Associated Hepatocellular Carcinoma in Zebrafish
09:27

Analysis of Liver Microenvironment During Early Progression of Non-Alcoholic Fatty Liver Disease-Associated Hepatocellular Carcinoma in Zebrafish

Published on: April 1, 2021

A High-Throughput In Situ Method for Estimation of Hepatocyte Nuclear Ploidy in Mice
08:44

A High-Throughput In Situ Method for Estimation of Hepatocyte Nuclear Ploidy in Mice

Published on: April 19, 2020

Area of Science:

  • Histopathology
  • Cell Biology
  • Regenerative Medicine

Background:

  • Accurate cell quantification is crucial for histological image analysis.
  • Evaluating liver regeneration post-hepatectomy requires quantifying proliferating hepatocytes.

Purpose of the Study:

  • To develop an automated approach for quantifying proliferating hepatocytes.
  • To assess the ratio of proliferating hepatocyte nuclei to total hepatocyte nuclei.

Main Methods:

  • An automated hepatocyte (HC) quantification tool was developed.
  • The tool processes entire digitized histological sections.
  • Image analysis pipeline requires no additional parameter adjustment.

Main Results:

  • The automated approach successfully quantifies hepatocytes across various image types.
  • Achieved sensitivity above 90% and a false positive fraction below 15% when compared to manual segmentation.
  • The tool computes the ratio of proliferating to total HC-nuclei in a single processing run.

Conclusions:

  • The automated procedure offers high sensitivity and low false positive rates.
  • This method is suitable for analyzing complete stained histological sections.
  • The tool aids in evaluating liver regeneration processes.