Clinical Utility of Blood Cell Histogram Interpretation | Zendy

E. T. Arun Thomas | Zendy; Sree S Bhagya | Zendy; Abdul Majeed | Zendy

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Clinical Utility of Blood Cell Histogram Interpretation

Author(s) -

E. T. Arun Thomas,

Sree S Bhagya,

Abdul Majeed

Publication year - 2017

Publication title -

journal of clinical and diagnostic research

Language(s) - English

Resource type - Journals

eISSN - 2249-782X

pISSN - 0973-709X

DOI - 10.7860/jcdr/2017/28508.10620

Subject(s) - histogram , white blood cell , interpretation (philosophy) , blood cell , red blood cell , hematology analyzer , analyser , hematology , pattern recognition (psychology) , medicine , mathematics , artificial intelligence , pathology , statistics , computer science , chemistry , chromatography , image (mathematics) , programming language

An automated haematology analyser provides blood cell histograms by plotting the sizes of different blood cells on X-axis and their relative number on Y-axis. Histogram interpretation needs careful analysis of Red Blood Cell (RBC), White Blood Cell (WBC) and platelet distribution curves. Histogram analysis is often a neglected part of the automated haemogram which if interpreted well, has significant potential to provide diagnostically relevant information even before higher level investigations are ordered.

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