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
Link To Document :
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