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Distributed computing in image analysis using open source frameworks and application to image sharpness assessment of
Norman Zerbe1, Peter Hufnagl, Karsten Schlüns
1Institute of Pathology, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany. norman.zerbe@charite.de
Diagnostic Pathology
|April 15, 2011
Summary
This study introduces a new system for analyzing large digital pathology whole slide images (WSIs) efficiently. The developed open-source software enables parallel processing and automated sharpness assessment, improving WSI quality evaluation.
Area of Science:
- Digital Pathology
- Computational Pathology
- Medical Image Analysis
Background:
- Automated image analysis of whole slide images (WSIs) is crucial for digital pathology.
- Processing high-resolution WSIs presents significant computational challenges due to large file sizes.
- Accurate analysis necessitates well-focused images at high magnifications.
Purpose of the Study:
- To develop an efficient system for processing and analyzing large whole slide images (WSIs).
- To address the computational cost and image quality requirements in digital pathology.
- To implement an automated sharpness assessment for WSIs using open-source tools.
Main Methods:
- Integration of virtual microscopy, open-source ImageJ software, and distributed parallel processing with JPPF.
- Development of an ImageJ plug-in for interactive and batch processing of WSIs.
- Application of tile-based processing for calculating edge-based sharpness criteria and generating sharpness maps.
Main Results:
- A system capable of classifying WSIs into sharpness categories (excellent, okay, review, defective).
- Generation of scaled sharpness maps for at-a-glance WSI quality assessment.
- Demonstration of reduced manual effort in tedious assessment tasks.
Conclusions:
- The developed system effectively processes, analyzes, and parallelizes WSI analysis.
- Open-source software is leveraged for efficient and scalable digital pathology workflows.
- Automated sharpness assessment serves as a key application for the system's capabilities.
