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

Clinical utility of diagnosing lynch syndrome in gynecologic oncology: a joint statement from four japanese academic societies.

International journal of clinical oncology·2026
Same author

Efficacy, safety and policy implications of anti-amyloid monoclonal antibodies for Alzheimer's disease: protocol for a living systematic review and meta-analysis.

BJPsych open·2026
Same author

Chemical synthesis of Zr-/Ce-/Sm-containing intermetallic compounds catalyzing NaBH<sub>4</sub>-assisted hydrogenation of 4-nitrophenol.

Dalton transactions (Cambridge, England : 2003)·2026
Same author

Hepatic-Differentiated Subpopulation in Clear Cell Renal Cell Carcinoma: A Multi-Omics Analysis of Tumors With Lymphovascular Invasion.

Cancer medicine·2026
Same author

Laparoscopic Diagnosis of an Incarcerated Ileal Conduit in an Inguinal Hernia: A Case Report.

Cureus·2026
Same author

Exploring Ortho-Para Hydrogen Conversion Catalysts Based on Surface Electric Field Gradient.

The journal of physical chemistry letters·2026

Related Experiment Video

Updated: Apr 7, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

1.4K

Support system for pathologists and researchers.

Takumi Ishikawa1, Junko Takahashi1, Mai Kasai1

  • 1Department of Mechanical Engineering, Tokyo University of Science, Tokyo, Japan.

Journal of Pathology Informatics
|July 14, 2015
PubMed
Summary

A new system, Pathologist and Researcher Support System (P-SSD), aids pathologists in cancer diagnosis and researchers in developing image analysis tools. P-SSD improves efficiency and reduces data processing time for virtual pathology slides.

Keywords:
Auto-pathological diagnosisOpenSlide librarymachine learningvirtual slide

More Related Videos

Using Robotic Systems to Process and Embed Colonic Murine Samples for Histological Analyses
05:33

Using Robotic Systems to Process and Embed Colonic Murine Samples for Histological Analyses

Published on: January 7, 2019

6.7K
DIPLOMA Approach for Standardized Pathology Assessment of Distal Pancreatectomy Specimens
10:38

DIPLOMA Approach for Standardized Pathology Assessment of Distal Pancreatectomy Specimens

Published on: February 1, 2020

8.1K

Related Experiment Videos

Last Updated: Apr 7, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

1.4K
Using Robotic Systems to Process and Embed Colonic Murine Samples for Histological Analyses
05:33

Using Robotic Systems to Process and Embed Colonic Murine Samples for Histological Analyses

Published on: January 7, 2019

6.7K
DIPLOMA Approach for Standardized Pathology Assessment of Distal Pancreatectomy Specimens
10:38

DIPLOMA Approach for Standardized Pathology Assessment of Distal Pancreatectomy Specimens

Published on: February 1, 2020

8.1K

Area of Science:

  • Digital pathology
  • Computational pathology
  • Medical image analysis

Background:

  • Cancer is a leading cause of death in Japan, increasing the diagnostic burden on pathologists.
  • Developing automated pathological diagnosis systems is crucial for efficiency.
  • Virtual slides present challenges for researchers due to unique file formats and processing difficulties.

Purpose of the Study:

  • To introduce the Pathologist and Researcher Support System (P-SSD), designed to assist both pathologists and researchers in automated pathological diagnosis.
  • To provide a system that facilitates screening, diagnosis verification, and data management for pathologists.
  • To enable researchers to develop and implement novel image-processing techniques on virtual pathology slides.

Main Methods:

  • The P-SSD system was developed to support automated pathological diagnosis development.
  • Key functions include loading virtual slides, creating supervised databases, learning image features, detecting cancerous areas, and displaying results.
  • The system is designed for ease of use by both pathologists and researchers.

Main Results:

  • P-SSD significantly reduces computer memory (RAM) utilization and processing time for virtual slide segmentation.
  • Observed reductions in memory size reached up to 97%, and processing time reductions reached 99.94%.
  • These efficiency gains streamline the workflow for handling large virtual slide datasets.

Conclusions:

  • P-SSD offers interoperability, handling multiple virtual slide formats, unlike proprietary software.
  • The system effectively supports both pathologists in diagnosis and researchers in developing new tools.
  • P-SSD has broad potential applications in both clinical pathology and biomedical research.