Case Report

Year : 2023 | Volume : 7 | Issue : 1 | Page : 1-7

Successful detection and species differentiation of malarial parasite using an automated hematology analyser: A case series

1 Associate Professor of Pathology, All India Institute of Medical Sciences (AIIMS), Mangalagiri, Andhra Pradesh, India, 2Assistant Professor of Pathology, All India Institute of Medical Sciences (AIIMS), Mangalagiri, Andhra Pradesh, India, 3Additional Professor of Pediatrics, All India Institute of Medical Sciences (AIIMS), Mangalagiri, Andhra Pradesh, India.

Address for correspondence:

Babu T A

Postgraduate, Department of Pathology, Srinivas Institute of Medical Sciences & Research Centre, Mukka, Mangalore, India

E‐mail: babuarun@yahoo.com

Abstract

Malaria is a global burden and requires accurate and early diagnosis. WHO has recommended that all clinically suspected cases should have parasitological confirmation for definitive treatment. There are other many methods which are expensive and require high skills. Hence, incorporation of reliable methods into automated hematology analysers will help identify malarial parasites at the earliest. Here we present three cases in which Plasmodium were identified on autoanalyser.

Keywords:

Malaria, Automated, Hematology analyser, Plasmodium, scatterplot

Conflict of interest:

Nil

Source of funding:

Nil

How to cite this article: Shankaralingappa, A., Poongodi, R., & Arun Babu, T. (2023). Successful detection and species differentiation of malarial parasite using an automated hematology analyser: A case series: Case Report. International Journal of Clinicopathological Correlation, 7(1), 1–7. https://doi.org/10.56501/intjclinicopatholcorrel.v7i1.765