Automatic Evaluation of Area-Related Immunogold Particles Density in Transmission Electron Micrographs

  • Bartłomiej Płaczek
  • Rafał J. Bułdak
  • Andrzej Brenk
  • Renata Polaniak
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9012)

Abstract

Immunogold particles are used in electron microscopy to determine sub-cellular location of biological relevant macromolecules, such as proteins, lipids, carbohydrates, and nucleic acids. In this paper an algorithm is proposed which enables automatic evaluation of the immunogold particles density in transmission electron micrographs. The introduced algorithm combines two different feature localization approaches. Coarse locations of the immunogold particles are recognized by image convolution with a Gaussian prototype and a multi-scale filtering is used to refine the locations. This algorithm was evaluated by using micrographs of human colorectal carcinoma cells. A higher accuracy of the immunogold particles detection was achieved in comparison with a state-of-the-art method. The improved detection accuracy enables a more precise evaluation of the area-related immunogold particles density.

Keywords

Image processing Immunogold labeling Electron microscopy 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Bartłomiej Płaczek
    • 1
  • Rafał J. Bułdak
    • 2
    • 3
  • Andrzej Brenk
    • 4
  • Renata Polaniak
    • 3
  1. 1.Institute of Computer ScienceUniversity of SilesiaSosnowiecPoland
  2. 2.Department of Physiology, Faculty of Medicine with the Division of DentistrySilesian Medical UniversityZabrzePoland
  3. 3.Departament of Human Nutrition, Faculty of Public HealthSilesian Medical UniversityZabrzePoland
  4. 4.Department of Genaral Biochemystry, Faculty of Medicine with the Division of DentistrySilesian Medical UniversityZabrzePoland

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