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A review on color normalization and color deconvolution methods in histopathology
Devrim Onder1, Selen Zengin, Sulen Sarioglu
1Department of Pathology, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey.
Summary
Digital color normalization methods enhance histopathology image analysis by addressing staining variations. This review details current techniques for bright field microscopy, aiding accurate tissue and lesion assessment.
Area of Science:
- Digital pathology
- Histopathology image analysis
- Computational pathology
Background:
- Histopathology relies on colored dyes for tissue and lesion analysis.
- Staining processes exhibit variability in concentration, fixation, and time.
- Digital image analysis necessitates robust color normalization methods.
Purpose of the Study:
- To review current digital color normalization algorithms for bright field histopathology.
- To detail methodologies and experimental validation approaches.
- To provide a resource for researchers in digital pathology.
Main Methods:
- Comprehensive literature review of digital color normalization techniques.
- Detailed description of various normalization algorithms.
- Analysis of lesion and tissue types used in experimental validation.
Main Results:
- Identification and categorization of existing color normalization methods.
- Summary of quantitative validation approaches for each method.
- Highlighting the impact of normalization on image analysis accuracy.
Conclusions:
- Digital color normalization is crucial for reproducible histopathology image analysis.
- Advancements in computing power drive the development of sophisticated algorithms.
- Standardized normalization protocols are needed for reliable diagnostic tools.
