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Analysis and recognition of touching cell images based on morphological structures

Authors
Journal
Computers in Biology and Medicine
0010-4825
Publisher
Elsevier
Publication Date
Volume
39
Issue
1
Identifiers
DOI: 10.1016/j.compbiomed.2008.10.006
Keywords
  • Cell Screening
  • Touching Cell
  • Morphological Structure
  • Segmentation And Reconstruction
  • Shape Analysis
  • Direct Least Square Fitting

Abstract

Abstract Automated analysis and recognition of cell-nuclear phases using fluorescence microscopy images play an important role for high-content screening. A major task of automated imaging based high-content screening is to segment and reconstruct each cell from the touching cell images. In this paper we present new useful method for recognizing morphological structural models of touching cells, detecting segmentation points, determining the number of segmented cells in touching cell image, finding the related data of segmented cell arcs and reconstructing segmented cells. The conceptual frameworks are based on the morphological structures where a series of structural points and their morphological relationships are established. Experiment results have shown the efficient application of the new method for analysis and recognition of touching cell images of high-content screening.

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