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Proceedings Paper

Segmentation based microscope autofocusing for blood smears
Author(s): Vishnu V. Makkapati
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Paper Abstract

Focusing is a critical step in microscope observation of slides. Autoscanning microscopes have to perform autofocus function accurately to record high quality images that may be later analyzed using sophisticated algorithms. Video based autofocus has become a viable option due to the availability of high computing power and cameras that provide high resolution images. A focus function which obtains a peak value when an image in focus has been encountered is used by these methods. In this paper a novel focus function based on the shape of the objects being observed is proposed. A segmentation based approach to autofocus blood smears where the primary objects being observed, the red blood cells (RBC), are circular is presented. The scheme first segments the RBCs and then determines the valid RBCs by using area criterion. The average form factor and eccentricity values of the valid RBCs in a given frame are computed. A plot of these parameters vs. the frame number will result in a peak and trough respectively for the in focus image. Results presented for various data sets show that form factor is a suitable autofocus function.

Paper Details

Date Published: 27 February 2009
PDF: 8 pages
Proc. SPIE 7260, Medical Imaging 2009: Computer-Aided Diagnosis, 72603D (27 February 2009); doi: 10.1117/12.811466
Show Author Affiliations
Vishnu V. Makkapati, Philips Electronics India Ltd. (India)

Published in SPIE Proceedings Vol. 7260:
Medical Imaging 2009: Computer-Aided Diagnosis
Nico Karssemeijer; Maryellen L. Giger, Editor(s)

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