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Related Experiment Video

Updated: Aug 4, 2025

A Multi-detection Assay for Malaria Transmitting Mosquitoes
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CMOS Spectrophotometric Microsystem for Malaria Detection.

Gabriel M Ferreira, Vitoria Baptista, Vitor Silva

    IEEE Transactions on Bio-Medical Engineering
    |April 6, 2023
    PubMed
    Summary
    This summary is machine-generated.

    A new CMOS microelectronic system automatically quantifies malaria parasites in blood samples. This optical spectrophotometry approach offers a sensitive and potentially field-deployable diagnostic tool for Plasmodium falciparum malaria.

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    Area of Science:

    • Biomedical Engineering
    • Optical Sensing
    • Malaria Diagnostics

    Background:

    • Current malaria diagnostic methods face limitations in detecting low parasitemia.
    • Optical spectrophotometry offers a promising alternative for sensitive malaria parasite quantification.
    • Developing automated detection systems is crucial for effective malaria control.

    Purpose of the Study:

    • To design, simulate, and fabricate a CMOS microelectronic detection system for automatic quantification of malaria parasites.
    • To evaluate the system's performance in detecting Plasmodium falciparum at low parasitemia levels.
    • To assess the potential of the developed microsystem for field-based malaria diagnosis.

    Main Methods:

    • The system utilizes an array of silicon junction photodiodes and current-to-frequency converters.
    • Simulations were performed using Cadence Tools with UMC 1180 MM/RF technology.
    • Fabricated photodiodes and converters were characterized, and the microsystem was validated with infected red blood cells.

    Main Results:

    • The current-to-frequency converter demonstrated high linearity (up to 1800 nA) and sensitivity (4430 Hz/nA).
    • Photodiodes exhibited a responsivity peak of 120 mA/W at 570 nm and low dark current (7.15 pA).
    • The microsystem successfully distinguished between healthy and infected red blood cells with a sensitivity of 4.5 Hz/parasites.μL⁻¹.

    Conclusions:

    • The developed CMOS microelectronic system can automatically quantify malaria parasites.
    • The system demonstrates high sensitivity and linearity, suitable for detecting low parasitemia.
    • This technology holds significant potential for improving malaria diagnosis in field settings.