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Related Experiment Video

Updated: Nov 14, 2025

Author Spotlight: Unlocking Insights into the Immune Cell Landscape of Tumors

Author Spotlight: Unlocking Insights into the Immune Cell Landscape of Tumors

Published on: August 18, 2023

QuArray: an application for tissue array whole slide image export and signal analysis.

Callum Arthurs¹, Aamir Ahmed¹

¹Prostate Cancer Research Centre at the Centre for Stem Cells and Regenerative Medicine, King's College London, SE1 9RT London, UK.

Bioinformatics (Oxford, England)

|March 10, 2021

Summary

This summary is machine-generated.

QuArray is a new open-access tool that simplifies quantitative analysis of tissue array whole slide images. It addresses challenges with missing tissue and artifacts, enabling standardized biomarker discovery.

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Area of Science:

Digital pathology
Biomarker discovery
Computational biology

Background:

Tissue array (TA) staining and whole slide imaging (WSI) are crucial for biomarker discovery.
Handling artifacts and missing tissue in TA WSI analysis poses a significant challenge for quantitative downstream applications.

Purpose of the Study:

To develop an open-access, user-friendly application for integrated analysis of WSI generated from TAs.
To overcome limitations in current TA WSI analysis, particularly concerning missing tissue and artifacts.

Main Methods:

Development of QuArray (Quantitative Array Application) for image export and signal analysis of TAs.
Input: WSI and a corresponding TA configuration file.
QuArray identifies and exports core images, analyzes chromogen staining via a graphical user interface, and saves indexed data.

Main Results:

QuArray successfully identifies and exports tissue cores from WSI.
The application provides quantitative analysis of chromogen staining.
Output data is structured for further downstream analysis.

Conclusions:

QuArray offers a user-friendly solution for analyzing TA WSI data.
The tool facilitates standardized quantitative analysis, aiding biomarker discovery in research and clinical settings.
QuArray is available as open-source software.