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Open AccessResearch article

A novel semi-automatic image processing approach to determine Plasmodium falciparum parasitemia in Giemsa-stained thin blood smears

Minh-Tam Le* 1 email, Timo R Bretschneider* 1 email, Claudia Kuss2 email and Peter R Preiser2 email

1School 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

author email corresponding author email* Contributed equally

BMC Cell Biology 2008, 9:15doi:10.1186/1471-2121-9-15

Published: 28 March 2008

Additional files

Additional 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.

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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

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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

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Additional file 4:

Segmentation process. The illustration visually describes the segmentation of clusters of erythrocytes into individual erythrocytes.

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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

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