• DocumentCode
    3685159
  • Title

    Epithelial mesenchymal transition in lung cancer cells: A quantitative analysis

  • Author

    Atasi Sarkar;A. Barui;S. Sengupta;J. Chatterjee;S. Ghorai;Anirban Mukherjee

  • Author_Institution
    School of Medical Science and Technology, Indian Institute of Technology Kharagpur, WB, 721302, India
  • fYear
    2015
  • Firstpage
    5372
  • Lastpage
    5375
  • Abstract
    Cellular auto-fluorescence along with morphological and cytoskeletal features were assessed in lung cancer cells undergoing induced epithelial mesenchymal transition (EMT). During EMT progression, significant increase was observed in cellular aspect ratio (AR), filamentous (F)-actin and green auto-fluorescence intensities while blue intensity decreased. These features were provided to a kernel classification framework. The classification accuracy were impressive, thus these features along with the classification technique can be considered as suitable tools for automated grading of lung cancer cells undergoing EMT progression.
  • Keywords
    "Cancer","Lungs","Accuracy","Kernel","Microscopy","Cells (biology)","Testing"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/EMBC.2015.7319605
  • Filename
    7319605