Paper
21 May 2014 Integrated quantitative fractal polarimetric analysis of monolayer lung cancer cells
Suman Shrestha, Lin Zhang, Tri Quang, Tannaz Farrahi, Chaya Narayan, Aditi Deshpande, Ying Na, Adam Blinzler, Junyu Ma, Bo Liu, George C. Giakos
Author Affiliations +
Abstract
Digital diagnostic pathology has become one of the most valuable and convenient advancements in technology over the past years. It allows us to acquire, store and analyze pathological information from the images of histological and immunohistochemical glass slides which are scanned to create digital slides. In this study, efficient fractal, wavelet-based polarimetric techniques for histological analysis of monolayer lung cancer cells will be introduced and different monolayer cancer lines will be studied. The outcome of this study indicates that application of fractal, wavelet polarimetric principles towards the analysis of squamous carcinoma and adenocarcinoma cancer cell lines may be proved extremely useful in discriminating among healthy and lung cancer cells as well as differentiating among different lung cancer cells.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Suman Shrestha, Lin Zhang, Tri Quang, Tannaz Farrahi, Chaya Narayan, Aditi Deshpande, Ying Na, Adam Blinzler, Junyu Ma, Bo Liu, and George C. Giakos "Integrated quantitative fractal polarimetric analysis of monolayer lung cancer cells", Proc. SPIE 9099, Polarization: Measurement, Analysis, and Remote Sensing XI, 90990T (21 May 2014); https://doi.org/10.1117/12.2053596
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Cited by 3 scholarly publications.
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KEYWORDS
Fractal analysis

Lung cancer

Cancer

Polarimetry

Lung

Polarization

Tissue optics

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