Acta Scientific Medical Sciences (ASMS)(ISSN: 2582-0931)

Research Article Volume 5 Issue 10

Morphological and Numerical Variations in WBC Distribution Pattern during Differential Count Estimation from Buffy Coat Smears

Tajalmas, Anumon MG, Romi Sleeba and Deepa Revi*

Medical Trust Institute of Medical Sciences, Medical Trust Hospital, Ernakulam, Kerala, India

*Corresponding Author: Deepa Revi, Assistant Professor, Medical Trust Institute of Medical Sciences, Medical Trust Hospital, Ernakulam, Kerala, India.Email:

Received: June 30, 2021; Published: September 22, 2021


  The white layer of nucleated cells that appears between the red sediment layer at the bottom and the plasma at the top after centrifugation of anti-coagulated blood is also called buffy coat. A WBC differential provides information about percentage or absolute value of the different types of white blood cells (Neutrophils, Eosinophils, Basophils, Lymphocytes and Monocytes) and is usually performed in a peripheral blood smear. Differential count can also be performed on buffy coat smears in case of leukopenic patients. The aim of this study is to determine and compare the WBC differential count estimated in smears prepared from peripheral blood and buffy coat from 20 normal healthy individuals. The number of neutrophils and lymphocytes were higher in buffy coat smear compared to peripheral smear. Cells in buffy coat smear showed morphological distortion and clustering in a dirty background with cell debris. The leukocyte distribution and morphological appearance is different in buffy coat smear when compared with traditional peripheral smears.

Keywords: Buffy Coat; Peripheral Smear; WBC Differential Count; Morphology


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Citation: Deepa Revi., et al. “Morphological and Numerical Variations in WBC Distribution Pattern during Differential Count Estimation from Buffy Coat Smears”.Acta Scientific Medical Sciences 5.10 (2021): 110-113.


Copyright: © 2021 Deepa Revi., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


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