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Computational tools for automated histological image analysis and quantification in cardiac tissue
Daniel Gratz1,2, Alexander J Winkle1,2, Alyssa Dalic1,2
1The Frick Center for Heart Failure and Arrhythmia, Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Methodsx
|January 1, 2020
Summary
We developed two new open-source tools, the Automated Fibrosis Analysis Tool (AFAT) and Macrophage Analysis Tool (MAT), to automate cardiac tissue analysis, improving accuracy and efficiency in biomedical research.
Area of Science:
- Biomedical Research
- Histopathology
- Image Analysis
Background:
- Accurate quantification of histological cardiac tissue is crucial for understanding disease.
- Manual image analysis is time-consuming, prone to bias, and limits research efficiency.
Purpose of the Study:
- To introduce novel, open-source tools for automated analysis of cardiac tissue.
- To address the limitations of manual quantification in terms of time, accuracy, and bias.
Main Methods:
- Development of the Automated Fibrosis Analysis Tool (AFAT) for fibrosis quantification.
- Development of the Macrophage Analysis Tool (MAT) for infiltrating macrophage quantification.
- Utilizing open-source software for public accessibility and reproducibility.
Main Results:
- AFAT enables automated and accurate quantification of cardiac fibrosis.
- MAT facilitates automated and accurate quantification of infiltrating macrophages in cardiac tissue.
- Both tools offer efficient alternatives to manual analysis.
Conclusions:
- AFAT and MAT provide valuable, automated solutions for cardiac tissue analysis.
- These tools enhance research efficiency and reliability in biomedical studies.
- Open-source availability promotes wider adoption and advancement in the field.
Keywords:
Automated histological image analysisFibrosisHeart failureHistologyImage processingMacrophage
