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Open Access Highly Accessed Research article

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

Minh-Tam Le1, Timo R Bretschneider1*, Claudia Kuss2 and Peter R Preiser2

  • * Corresponding author: Timo R Bretschneider astimo@ntu.edu.sg

  • † Equal contributors

Author Affiliations

1 School of Computer Engineering, Nanyang Technological University, N4-02a-32 Nanyang Avenue, Singapore 639798, Singapore

2 School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, Singapore 637551, Singapore

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BMC Cell Biology 2008, 9:15  doi: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.

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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.

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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.

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