Precise Segmentation of Bone Marrow Cells by Using Multispectral Imaging Analysis Techniques

Counting of different classes of white blood cells in bone marrow smears can provide pathologists with valuable information regarding various hematological disorders. For automatic imaging analysis techniques, precise segmentation of White Blood Cells is quite challenging due to the complex contents in bone marrow smears. Far more different from traditional color imaging analysis method, we introduced multispectral imaging techniques. After an image with high quality was acquired, the spectrum of each pixel was directly fed into a trained Support Vector Machine (SVM) for classification, then morphological binary operations were performed to correct the small error-classified regions. Masses of experiments show that our multispectral imaging method is device-independent to a large extent, and the segmentation results are highly satisfactory and inspiring. It proves that the introduction of multispectral imaging analysis techniques into White Blood Cells detection is a success. Multispectral imaging analysis is a promising technique in biomedicine.