Paper
12 May 1995 Extracting actin fibers in 3D cell fluorescence microscope images
Ping Fu, Steven A. Shafer, Raul E. Valdes-Perez
Author Affiliations +
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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ping Fu, Steven A. Shafer, and Raul E. Valdes-Perez "Extracting actin fibers in 3D cell fluorescence microscope images", Proc. SPIE 2434, Medical Imaging 1995: Image Processing, (12 May 1995); https://doi.org/10.1117/12.208747
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KEYWORDS
Optical filters

Optical fibers

3D image processing

Electronic filtering

Microscopes

Detection and tracking algorithms

Luminescence

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