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3D Shape Reconstruction using the Focus Estimator Value from Multi-Focus Cell Images  

Choi, Yea-Jun (Department of Computer Science and Engineering, Sejong University)
Lee, Dong-Woo (Department of Biomedical Engineering, Konyang University)
Kim, Myoung-Hee (Department of Computer Science and Engineering, Ewha Womans University)
Choi, Soo-Mi (Department of Computer Science and Engineering, Sejong University)
Publication Information
Journal of the Korea Computer Graphics Society / v.23, no.4, 2017 , pp. 31-40 More about this Journal
Abstract
As 3D cell culture has recently become possible, it has been able to observe a 3D shape of cell and volume. Generally, 3D information of a cell should be observed with a special microscope such as a confocal microscope or an electron microscope. However, a confocal microscope is more expensive than a conventional microscope and takes longer time to capture images. Therefore, there is a need for a method that can reconstruct the 3D shape of cells using a common microscope. In this paper, we propose a method of reconstructing 3D cells using the focus estimator value from multi-focal fluorescence images of cells. Initially, 3D cultured cells are captured with an optical microscope by changing the focus. Then the approximate position of the cells is assigned as ROI (Region Of Interest) using the circular Hough transform in the images. The MSBF (Modified Sliding Band Filter) is applied to the obtained ROI to extract the outlines of the cell clusters, and the focus estimator values are computed based on the extracted outlines. Using the computed focus estimator values and the numerical aperture (NA) of the microscope, we extract the outline of the cell cluster considering the depth and reconstruct the cells into 3D based on the extracted outline. The reconstruction results are examined by comparing with the combined in-focus portions of the cell images.
Keywords
3D shape reconstruction; cell image; MSBF; depth estimation;
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