Open AccessClinical Utility of Blood Cell Histogram Interpretation
Author(s) -
E T Arun Thomas,
Seela S Bhagya,
Adil Abbas 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.