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Proceedings Paper

Extracting actin fibers in 3D cell fluorescence microscope images
Author(s): Ping Fu; Steven A. Shafer; Raul E. Valdes-Perez
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Paper Abstract

Extracting 3-D position of actin fibers is an important task in bio-medical research, since it can lead to a quantitative description of cell structure, motion and development. In this paper, we present a new approach to automatically extract these fibers from a 3-D stack of cell images obtained by three-dimensional fluorescence microscopy. Our algorithm incorporates two stages. First, the computer vision technique of depth-from-focusing is used to construct the 2-D best focused pseudo-image and the depth map from the original images. Second, we track actin fibers using the 2-D pseudo-image and the depth map based on a dense local filtering strategy and continuity constraints. A group of specially designed local line feature filters and continuity constraints are used to guide the tracking. Also we applied a backtracking strategy to refine the fiber searching when ambiguities occur. Finally, the systematic method of searching for all fibers in an image is presented.

Paper Details

Date Published: 12 May 1995
PDF: 12 pages
Proc. SPIE 2434, Medical Imaging 1995: Image Processing, (12 May 1995); doi: 10.1117/12.208747
Show Author Affiliations
Ping Fu, Carnegie Mellon Univ. (United States)
Steven A. Shafer, Carnegie Mellon Univ. (United States)
Raul E. Valdes-Perez, Carnegie Mellon Univ. (United States)

Published in SPIE Proceedings Vol. 2434:
Medical Imaging 1995: Image Processing
Murray H. Loew, Editor(s)

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