TITLE:
A New Electronic Instrumentation Approach for the Acquisition of Microscopic Blood Smear Images for the Automatic Diagnosis of Anemia
AUTHORS:
Jerome Nango Alico, Sié Ouattara, Alain Clement
KEYWORDS:
Anemia, Instrumentation, Acquisition, Automated, Blood Smears, Red Blood Cells, Morphological Descriptors, Colorimetric Descriptors, Image Processing, Diagnosis
JOURNAL NAME:
Advances in Bioscience and Biotechnology,
Vol.11 No.6,
June
3,
2020
ABSTRACT: Anemia is a blood abnormality that affects the
quantity and quality of red blood cells in the human body. This sometimes banal
sign spares no continent and no social stratum. This anomaly is generally
appreciated through biological analyzes of patients’ blood. These analyzes, which boil down to the
knowledge of hemato-metric constants, cannot by themselves allow the
characterization of certain forms of anemia in the sense that most anemia are
related to the morphology and color of red blood cells. Our work in this paper
is to perform blood smears on patients and perform a morphological and
colorimetric analysis of red blood cells on these smears. This approach allowed
us to highlight on each erythrocyte morphological and colorimetric descriptors
to accurately identify the types of anemia by image processing methods. This
identification is performed in an automated environment to allow pathologists
to respond quickly to anemia-related emergencies and also improve the treatment
to be conducted. This automation required the implementation of a new approach
to electronic instrumentation and the acquisition of microscopic blood smear images
for the automatic and rapid diagnosis of anemia.