Hand Portable Apparatus to Test Blood Cells Under Gold Standard of Microscope
Keywords:Malaria, Diagnosis, Rural Areas, Handheld Device, Deep Learning, Image Processing, Fourth order moment.
Our biggest war was not against COVID-19 but against insufficient testing kits — one of the vital
components to confirm the infection and its spread. While we do not know when the COVID pandemic will end,
and when another one will hit. Timely testing and prevention are the only two key strategies that will save the
day. Taking lessons from COVID-19 which caused widespread loss of lives, we have developed a simple
apparatus that will enable testing of blood samples without dependency on huge diagnostic centers or
experienced senior doctors duringsuch pandemics. We took Malaria as a case study for two reasons – there is a
huge amount of data with respect to people suffering from this disease and blood cell image datasets for
processing and testing our hypothesis on Malaria. Many people die from malaria in rural areas even though they
have many RPD (Rapid Diagnostic Testing), but the gold standard of testing is a microscope which is not easily
available, and therefore we continued to find a more dependable and efficient way of detecting Malaria. The
setup consists of a smart mobile microscope which is a simple equipment that consists of ball lens, polarized
sheets, LED light and a blood sample that works on the principle of standard microscope that will give you
enlarged image of blood cells of parasites and with Deep Learning acting on this data we will get instant results
of classification into parasitized and non-parasitized cells. The mobile phone is trained to read and process blood
samples with the help of Deep Learning and image processing algorithm to give you a quick result of whether
the patient is having malaria or not without any prior knowledge in understanding blood cells. We use the fourth
order moment as an image processing technique to get the segmented images of malarial blood cells.
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