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Related Experiment Video

Updated: Mar 1, 2026

In Vivo Assessment of Rodent Plasmodium Parasitemia and Merozoite Invasion by Flow Cytometry

In Vivo Assessment of Rodent Plasmodium Parasitemia and Merozoite Invasion by Flow Cytometry

Published on: April 5, 2015

A portable image-based cytometer for rapid malaria detection and quantification.

Dahou Yang¹, Gowtham Subramanian¹, Jinming Duan²

¹Pillar of Engineering Product Development, Singapore University of Technology and Design, Singapore, Singapore.

|June 9, 2017

Summary

This summary is machine-generated.

A new, affordable, portable cytometer accurately detects and counts malaria parasites in blood smears. This tool aids in classifying parasite stages and testing antimalarial drug efficacy, offering a rapid alternative for malaria diagnosis and treatment.

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A Multi-detection Assay for Malaria Transmitting Mosquitoes

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Last Updated: Mar 1, 2026

In Vivo Assessment of Rodent Plasmodium Parasitemia and Merozoite Invasion by Flow Cytometry

In Vivo Assessment of Rodent Plasmodium Parasitemia and Merozoite Invasion by Flow Cytometry

Published on: April 5, 2015

Detection and Quantification of Plasmodium falciparum in Aqueous Red Blood Cells by Attenuated Total Reflection Infrared Spectroscopy and Multivariate Data Analysis

Detection and Quantification of Plasmodium falciparum in Aqueous Red Blood Cells by Attenuated Total Reflection Infrared Spectroscopy and Multivariate Data Analysis

Published on: November 2, 2018

A Multi-detection Assay for Malaria Transmitting Mosquitoes

A Multi-detection Assay for Malaria Transmitting Mosquitoes

Published on: February 28, 2015

Area of Science:

Medical Diagnostics
Parasitology
Biotechnology

Background:

Rising antimalarial drug resistance necessitates rapid detection and classification of malaria parasites.
Challenges in diagnosing malaria include low parasite levels and predominantly early parasitic forms in peripheral blood.

Purpose of the Study:

To develop a simple, inexpensive, and portable image-based cytometer for detecting and quantifying Plasmodium falciparum infected red blood cells (iRBCs).
To classify parasitic subpopulations by quantifying parasite area within iRBCs.
To evaluate the cytometer's performance in antimalarial drug efficacy testing.

Main Methods:

Development of a portable, image-based cytometer utilizing Giemsa-stained blood smears.
Numerical counting and classification of iRBCs based on parasite area quantification.
Comparative analysis of the developed cytometer against a commercial flow cytometer for antimalarial efficacy testing.

Main Results:

The cytometer achieved high specificity, sensitivity, and negligible false positives (~0.0025%) in detecting and counting iRBCs.
Comparable results were obtained between the image-based cytometer and a commercial flow cytometer for antimalarial efficacy testing.
The system can classify parasitic subpopulations by quantifying parasite area within iRBCs.

Conclusions:

The developed image-based cytometer offers a cheap, rapid, and accurate alternative for antimalarial testing.
The cytometer demonstrates potential for field diagnosis of malaria with minimal processing time and high efficiency.
Algorithm filters can exclude leukocytes and reticulocytes, enhancing diagnostic utility.