A novel semi-automatic image processing approach to determine Plasmodium falciparum parasitemia in Giemsa-stained thin blood smears1School of Computer Engineering, Nanyang Technological University, N4-02a-32 Nanyang Avenue, Singapore 639798, Singapore 2School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, Singapore 637551, Singapore
BMC Cell Biology 2008, 9:15doi:10.1186/1471-2121-9-15
Additional filesAdditional file 1: Discussion of implementation details with case study. The text illustrates the required processing steps for the semi-automatic approach and provides details based on selected case studies. Format: DOC Size: 55KB Download file This file can be viewed with: Microsoft Word Viewer Additional file 2: Detection of nucleated components. The illustration depicts the process of detecting nucleated components which comprises the comparison of the different color channels with consecutive thresholding. Format: DOC Size: 1.8MB Download file This file can be viewed with: Microsoft Word Viewer Additional file 3: Image decomposition. The illustration addresses the image decomposition in background and solid matter based on the compensation of illumination differences and repetitive thresholding. Format: DOC Size: 389KB Download file This file can be viewed with: Microsoft Word Viewer Additional file 4: Segmentation process. The illustration visually describes the segmentation of clusters of erythrocytes into individual erythrocytes. Format: DOC Size: 2.2MB Download file This file can be viewed with: Microsoft Word Viewer Additional file 5: Assignment of parasites to erythrocytes. The illustration provides examples for infections in detected erythrocyte clusters and addresses the association of a parasite to the correct host cell. Format: DOC Size: 73KB Download file This file can be viewed with: Microsoft Word Viewer |



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