• Automating blood smears for easier malar

    From ScienceDaily@1:317/3 to All on Tue Jan 18 21:30:38 2022
    Automating blood smears for easier malaria diagnosis
    Device removes one of the biggest bottlenecks preventing quick, reliable malaria diagnosis

    Date:
    January 18, 2022
    Source:
    American Institute of Physics
    Summary:
    Researchers have developed devices to automate blood smears. Their
    devices, called autohaem smear and smear+, can consistently create
    high- quality smears equivalent to those created by human experts,
    automating the smearing process so every smear is correct and
    consistent. A key goal of the project was to make the devices
    accessible to as many people as possible, so the researchers
    designed their devices to be easy to build, using readily available
    or 3D-printed components.



    FULL STORY ==========================================================================
    One of the key steps in diagnosing or treating many bloodborne diseases
    is to perform a blood smear, where a drop of blood is spread across a microscope slide for analysis. It is critical the technician collecting
    the sample perform this smear correctly and consistently, but mistakes
    at this stage are easy to make and often result in useless samples.


    ========================================================================== InReview of Scientific Instruments, by AIP Publishing, researchers
    from Cambridge University, Bath University, and the Ifakara Health
    Institute developed devices to automate blood smears. Their devices,
    called autohaem smear and smear+, can consistently create high-quality
    smears equivalent to those created by human experts.

    "Creating blood smears is a laborious, repetitive task that requires
    an expert level of skill and manual dexterity," said author Samuel
    McDermott. "By using automated blood smearing machines, such as autohaem devices, technicians will be able to increase their throughput while maintaining a high enough quality for diagnosis." The researchers'
    primary focus is on diagnosis of malaria, a deadly disease that kills
    more than 400,000 people every year. Malaria is best diagnosed by
    analyzing blood smears through a microscope. While performing research
    for a previous study, they noticed many of these testing smears were of
    poor quality.

    "In some countries, up to 81.5% of blood smears are prepared incorrectly,"
    said McDermott. "If a blood smear is prepared incorrectly, when examined
    under a microscope, the technician will struggle to make a correct
    diagnosis. Because these smears are often made in a rural clinic and sent
    to a regional facility for examination, any issues in the smear could
    cause days of delay." Their solution, the autohaem devices, solves this problem by automating the smearing process so every smear is correct
    and consistent. The devices come in two varieties, the autohaem smear
    and the autohaem smear+, the latter of which is fully automated with a motorized smearing mechanism. In tests, inexperienced technicians were
    able to use the device to produce expert-quality smears.

    A key goal of the project was to make the autohaem devices accessible
    to as many people as possible. The researchers designed their
    devices to be easy to build, using readily available or 3D-printed
    components. Furthermore, all software and hardware are open-source and
    freely available.

    The next step for the researchers is to test out their design in
    real-world conditions, thanks to their colleagues at the Ifakara Health Institute in Tanzania.

    "They will be able to manufacture and use the devices as part of
    their research," said McDermott. "We will be able to use their
    feedback to improve the design of the device for rural clinics." ========================================================================== Story Source: Materials provided by American_Institute_of_Physics. Note: Content may be edited for style and length.


    ========================================================================== Journal Reference:
    1. Samuel McDermott, Jaehyeon Kim, Aikaterini Anna Leledaki, Duncan
    Parry,
    Louis Lee, Alexandre Kabla, Catherine Mkindi, Richard Bowman, Pietro
    Cicuta. autohaem: 3D printed devices for automated preparation
    of blood smears. Review of Scientific Instruments, 2022; 93 (1):
    014104 DOI: 10.1063/5.0076901 ==========================================================================

    Link to news story: https://www.sciencedaily.com/releases/2022/01/220118111356.htm

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