Abstract

Background: Over the past five decades, hematology analyzers have evolved from semi-automated to fully automated ones. A histogram is a graphic representationof a collection of data based on cell size and/or cell number depicting variations in the process. Objective: To study hematology histograms in relation with major blood cell components and in cases of acute febrile illness. Methods: It was a cross sectional observational study conducted over 200 consecutively collected samples from adults. Histograms were obtained from 3-part automated hematology analyzer, evaluated in relation to the RBCs, WBCs and platelets with their peripheral blood smear (PBS) picture and with the cases with diagnosis of acute febrile illness. Results: In the present study, maximum number of samples were from 15-25 years of age group with a male preponderance. Out of 200 histograms, 102 had combined abnormality of the all 3 blood cell types in varied combinations. Neutrophilia, microcytosis and thrombocytopenia were the most common findings in the respective individual blood cell histograms. Maximum sensitivity of WBC histogram was for neutrophilia (81.08%), that of RBC histogram was for microcytosis (81.3%) while that of platelet histogram was for thrombocytopenia (97.5%). In cases of acute febrile illness, dengue was the most common diagnosis with thrombocytopenia being most common histogram finding. Conclusion: Histograms provided by the automated hematology analyzers are of great diagnostic and morphologic importance. Histograms obtained from automated analyzers should be complementary to hematological parameters and peripheral blood smear examination.

Highlights

  • Histograms provided by the automated hematology analyzers are of great diagnostic and morphologic importance

  • Histograms obtained from automated analyzers should be complementary to hematological parameters and peripheral blood smear examination

  • Over the past five decades, hematology analyzers have evolved from semi-automated to fully automated ones

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Summary

Introduction

Over the past five decades, hematology analyzers have evolved from semi-automated to fully automated ones. They provide rapid and inexpensive cell counting technique. Cells can be both counted and sized from the electrical impulses that they generate This is the principle of impedance counting, which was devised and developed by Wallace Coulter in the 1940s and 1950s and which ushered in the modern era of automated blood cell counting.[1]. Over the past five decades, hematology analyzers have evolved from semi-automated to fully automated ones.A histogram is a graphic representation of a collection of data based on cell size and/or cell number depicting variations in the process

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