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Journal article
An alternative reference space for H&E color normalization
PloS one, v 12(3), pp e0174489-e0174489
2017
PMID: 28355298
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Digital imaging of H&E stained slides has enabled the application of image processing to support pathology workflows. Potential applications include computer-aided diagnostics, advanced quantification tools, and innovative visualization platforms. However, the intrinsic variability of biological tissue and the vast differences in tissue preparation protocols often lead to significant image variability that can hamper the effectiveness of these computational tools. We developed an alternative representation for H&E images that operates within a space that is more amenable to many of these image processing tools. The algorithm to derive this representation operates by exploiting the correlation between color and the spatial properties of the biological structures present in most H&E images. In this way, images are transformed into a structure-centric space in which images are segregated into tissue structure channels. We demonstrate that this framework can be extended to achieve color normalization, effectively reducing inter-slide variability.
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Details
- Title
- An alternative reference space for H&E color normalization
- Creators
- Mark D Zarella - Drexel UniversityChan Yeoh - Drexel UniversityDavid E Breen - Drexel UniversityFernando U Garcia - Cancer Treatment Centers of America
- Publication Details
- PloS one, v 12(3), pp e0174489-e0174489
- Publisher
- Public LIbrary of Science (PLOS)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Computer Science; Pathology (and Laboratory Medicine)
- Web of Science ID
- WOS:000399174600055
- Scopus ID
- 2-s2.0-85016439052
- Other Identifier
- 991019168868704721
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- Cell Biology