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Updated: Sep 25, 2025

Digital Analysis of Immunostaining of ZW10 Interacting Protein in Human Lung Tissues

Digital Analysis of Immunostaining of ZW10 Interacting Protein in Human Lung Tissues

Published on: May 1, 2019

Developing image analysis methods for digital pathology.

Peter Bankhead^1,2,3

¹Edinburgh Pathology, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.

The Journal of Pathology

|April 28, 2022

Summary

This summary is machine-generated.

Digital pathology

Keywords:

computational pathology digital pathology image analysis image processing open science software

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Area of Science:

Pathology
Computational pathology
Medical image analysis

Background:

Quantitative image analysis and artificial intelligence (AI) are key drivers in digital pathology.
Many novel image analysis methods are published but rarely adopted due to lack of accessible software.
A gap exists between published potential and practical application in digital pathology.

Purpose of the Study:

To review current approaches in pathology image analysis.
To examine challenges in translating algorithms from proof-of-concept to practical use.
To highlight the need for improved openness, implementation, and usability in digital pathology research.

Main Methods:

Literature review of quantitative image analysis and AI in digital pathology.
Analysis of practical challenges for algorithm development and user adoption.
Discussion on multidisciplinary collaboration and bioimage analysis community interaction.

Main Results:

Software unavailability and complexity hinder the adoption of digital pathology algorithms.
A significant disconnect exists between published research and real-world applicability.
User and developer perspectives reveal practical barriers to widespread implementation.

Conclusions:

Openness, implementation, and usability are crucial for advancing digital pathology.
Collaborative, multidisciplinary approaches are needed for algorithm validation.
Learning from the broader bioimage analysis community can enhance data, software, and idea sharing.