Related Experiment Video
Updated: Aug 14, 2026

Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin
Published on: March 14, 2018
A Java application for tissue section image analysis
R Kamalov1, M Guillaud, D Haskins
1Department of Cancer Imaging, BC Cancer Agency, Vancouver, BC, Canada.
Abstract:
The medical industry has taken advantage of Java and Java technologies over the past few years, in large part due to the language's platform-independence and object-oriented structure. As such, Java provides powerful and effective tools for developing tissue section analysis software. The background and execution of this development are discussed in this publication. Object-oriented structure allows for the creation of "Slide", "Unit", and "Cell" objects to simulate the corresponding real-world objects. Different functions may then be created to perform various tasks on these objects, thus facilitating the development of the software package as a whole. At the current time, substantial parts of the initially planned functionality have been implemented. Getafics 1.0 is fully operational and currently supports a variety of research projects; however, there are certain features of the software that currently introduce unnecessary complexity and inefficiency. In the future, we hope to include features that obviate these problems.
More Related Videos
11:00Establishment and Analysis of Tumor Slice Explants As a Prerequisite for Diagnostic Testing
Published on: November 29, 2018
14:28Substructure Analyzer: A User-Friendly Workflow for Rapid Exploration and Accurate Analysis of Cellular Bodies in Fluorescence Microscopy Images
Published on: July 15, 2020