TY - GEN
T1 - Field evaluation of automatic new diagnostic CellCheck® in comparison to standard microscopy for detection of malaria from clinical suspected cases in Lampung Province, Indonesia
AU - Sutanto, Inge
PY - 2022
Y1 - 2022
N2 - Introduction Direct visual finding of malarial parasites in the blood remains the most relevant detection method. However, microscopic examination with Giemsa staining is subjective and requires relatively long roundabout time. Digitalization of the parasite image or byproduct is developed to overcome this issue. CellsCheck® (Biosynex, France) deploys fluorescence-based principle for automated identification of parasites. It developed plastic cartridge and patented sample preparation to create homogenous “thin blood smear.” Cutting-edge computer vision technology algorithm system is utilized for detection, speciation, and quantification of the malaria parasites. This study aims to compare this novel technology with standard microscopy.
AB - Introduction Direct visual finding of malarial parasites in the blood remains the most relevant detection method. However, microscopic examination with Giemsa staining is subjective and requires relatively long roundabout time. Digitalization of the parasite image or byproduct is developed to overcome this issue. CellsCheck® (Biosynex, France) deploys fluorescence-based principle for automated identification of parasites. It developed plastic cartridge and patented sample preparation to create homogenous “thin blood smear.” Cutting-edge computer vision technology algorithm system is utilized for detection, speciation, and quantification of the malaria parasites. This study aims to compare this novel technology with standard microscopy.
UR - http://repository.lppm.unila.ac.id/31414/
M3 - Conference contribution
BT - Joint International Tropical Medicine Meeting 2021
ER -
