Optimizing morphology through blood cell image analysis

A. Merino, L. Puigví, L. Boldú, S. Alférez, J. Rodellar

Research output: Contribution to journalReview articlepeer-review

17 Scopus citations

Abstract

Introduction: Morphological review of the peripheral blood smear is still a crucial diagnostic aid as it provides relevant information related to the diagnosis and is important for selection of additional techniques. Nevertheless, the distinctive cytological characteristics of the blood cells are subjective and influenced by the reviewer's interpretation and, because of that, translating subjective morphological examination into objective parameters is a challenge. Methods: The use of digital microscopy systems has been extended in the clinical laboratories. As automatic analyzers have some limitations for abnormal or neoplastic cell detection, it is interesting to identify quantitative features through digital image analysis for morphological characteristics of different cells. Result: Three main classes of features are used as follows: geometric, color, and texture. Geometric parameters (nucleus/cytoplasmic ratio, cellular area, nucleus perimeter, cytoplasmic profile, RBC proximity, and others) are familiar to pathologists, as they are related to the visual cell patterns. Different color spaces can be used to investigate the rich amount of information that color may offer to describe abnormal lymphoid or blast cells. Texture is related to spatial patterns of color or intensities, which can be visually detected and quantitatively represented using statistical tools. Conclusion: This study reviews current and new quantitative features, which can contribute to optimize morphology through blood cell digital image processing techniques.

Original languageEnglish (US)
Pages (from-to)54-61
Number of pages8
JournalInternational Journal of Laboratory Hematology
Volume40
DOIs
StatePublished - May 2018
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Hematology
  • Clinical Biochemistry
  • Biochemistry, medical

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