Paper
2 September 2009 Three-dimensional visualization of a cell by using shape from focus method
Author Affiliations +
Abstract
A cell is the structural and functional unit of all known living organisms, and its three-dimensional shape is an interesting research topic and having many applications in biology. Usually, cells are kept surrounded with some liquid materials on glass plates. In obtained image sequence, liquid material causes unwanted background in the images, and some virtual images due to the glass plates occurs, which makes difficulty to recover the three-dimensional shape of the cell. Therefore, conventional optical passive methods for three-dimensional shape recovery do not compute depth map accurately. The purpose of this work is to reconstruct three-dimensional shape of HeLa cell by applying shape from focus (SFF) method. SFF method is one of the optical passive methods to estimate three-dimensional shape by using focal information from image sequence. To overcome problems from transparency and reflection, transparent part is segmented from images by using the fact that background of the cell does not have focal point, and an original image sequence is divided into two image sequences for real and virtual part by finding two focused points in itself. For more accurate segmentation of the background part, the labeling method is used, and for automatically dividing an original image sequence into two image sequences, the iterative threshold selection method is used. The proposed approach is tested by using HeLa cell which is one of the most famous cells in biological research area. The experimental result demonstrates the effectiveness.
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Minji Lee, Ik-Hyun Lee, and Tae-Sun Choi "Three-dimensional visualization of a cell by using shape from focus method", Proc. SPIE 7443, Applications of Digital Image Processing XXXII, 744323 (2 September 2009); https://doi.org/10.1117/12.827255
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KEYWORDS
Image segmentation

3D image processing

3D image reconstruction

Glasses

Image restoration

Liquids

Microscopy

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