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Related Experiment Video

Updated: May 12, 2026

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

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

Published on: July 11, 2025

iMole, a web based image retrieval system from biomedical literature.

Manuela Giordano¹, Massimo Natale, Moreno Cornaz

¹BioDigitalValley S.r.l, Pont Saint Martin, Italy.

Electrophoresis

|April 18, 2013

Summary

iMole automatically extracts and tags biomedical images from literature using text-mining. Researchers can build custom biomedical image databases with extracted, web-found, and uploaded images.

Keywords:

2D electrophoresis Image database Meta-analysis Text mining Web application

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Rapid Setup of Tissue Microarray and Tiled Area Imaging on the Multiplexed Ion Beam Imaging Microscope Using the Tile/SED/Array Interface

Published on: September 15, 2023

Area of Science:

Biomedical Informatics
Data Science
Proteomics

Background:

Biomedical research generates vast amounts of image data.
Efficiently organizing and accessing these images is challenging.
Existing tools lack comprehensive image extraction and annotation capabilities.

Purpose of the Study:

To introduce iMole, a novel platform for automated biomedical image extraction and annotation.
To enable researchers to create and manage custom biomedical image databases.
To demonstrate the platform's utility by building a searchable 2DE gel image database.

Main Methods:

Automated extraction of images and captions from biomedical literature using text-mining.
Automatic image tagging with terms from figure captions.
User-friendly interface for uploading and manually tagging custom images.
Development of a searchable 2DE gel database from proteomic publications.

Main Results:

iMole successfully extracted over 16,500 images from 16,608 proteomic publications.
A functional 2DE gel image database was created and made accessible via a web interface.
The platform supports both automated and manual image annotation and database expansion.

Conclusions:

iMole provides an effective solution for managing biomedical image data.
The platform facilitates the creation of specialized, searchable image repositories.
iMole empowers researchers to build comprehensive biomedical image collections for diverse research needs.