Abstract
Hyperspectral imaging is a new technology that aims to use the spectral information of each pixel in different spectral bands to find, identify and classify objects in an image. The hyperspectral imaging system, which is frequently used in the field of remote sensing, is becoming a new imaging model for medical applications and non-invasive disease diagnosis. In this study, a hyperspectral microscope system capable of capturing images of biological samples at different range of spectral wavelengths was developed. With this system, red blood cells in the blood sample were analyzed at various wavelengths and image classification was performed to determine the locations of red blood cells (erythrocytes). Subsequently, the detection of cytoplasm, cell edge, extracellular fluid, and pale area in the cell center of each erythrocyte was successfully performed.
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