Detecting Actin Fibers in Cell Images using Minimal Spanning Trees

Andrew Johnson and Raul Valdes-Perez
tech. report CMU-RI-TR-93-18, Robotics Institute, Carnegie Mellon University, October, 1993


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Abstract
The quantitative description of cell structures in light microscope images is an important task in biological research. The inclusion of digital image processing techniques and fluorescent markers into light microscope imaging has recently made this task feasible. In this paper, we present a method for detection of filamentary structures in cell images that have been highlighted with fluorescent markers. The method has three stages. First, pixels belonging to fiber contours are extracted from the image. Then these pixels are grouped together based on proximity by a minimal spanning tree. Finally, the fiber contours are determined as sub-trees of the minimal spanning tree. Once the pixels belonging to individual fibers contours have been determined, quantitative statistics describing the fibers in the cell can be calculated.

Keywords
Light Microscopy, Actin Fibers, Minimal Spanning Trees, Biological Imaging, Filamentary Structure

Notes
Sponsor: W.M. Keck Foundation.
Grant ID: F33615-90-C-1465
Associated Center(s) / Consortia: Vision and Autonomous Systems Center
Number of pages: 19

Text Reference
Andrew Johnson and Raul Valdes-Perez, "Detecting Actin Fibers in Cell Images using Minimal Spanning Trees," tech. report CMU-RI-TR-93-18, Robotics Institute, Carnegie Mellon University, October, 1993

BibTeX Reference
@techreport{Johnson_1993_308,
   author = "Andrew Johnson and Raul Valdes-Perez",
   title = "Detecting Actin Fibers in Cell Images using Minimal Spanning Trees",
   booktitle = "",
   institution = "Robotics Institute",
   month = "October",
   year = "1993",
   number= "CMU-RI-TR-93-18",
   address= "Pittsburgh, PA",
}