DocumentCode :
1757168
Title :
Design, Calibration, and Testing of an Automated Near-Infrared Liquid-Crystal Polarimetric Imaging System for Discrimination of Lung Cancer Cells
Author :
Shrestha, Suman ; Petermann, Jeff ; Farrahi, Tannaz ; Deshpande, Aditi ; Giakos, George C.
Author_Institution :
Univ. of Akron, Akron, OH, USA
Volume :
64
Issue :
9
fYear :
2015
fDate :
Sept. 2015
Firstpage :
2453
Lastpage :
2467
Abstract :
A newly developed tissue diagnostic method, based on label-free near-infrared (NIR) polarimetric reflectance imaging for the classification of histopathological samples of lung cancer cells, is presented. The design, calibration, and testing of an automated NIR polarimetric imaging system, with emphasis on lung cancer detection, are put forward in detail. The described electro-optical imaging polarimeter system exhibits high degree of accuracy and repeatability. The outcome of this paper indicates that the operational design principles of the NIR polarimetric system may be proved extremely useful in discrimination of label-free normal and lung cancer cell samples as well as differentiation of different lung cancer cells and stages in vitro.
Keywords :
biological tissues; biomedical optical imaging; calibration; cancer; electro-optical devices; image classification; infrared imaging; liquid crystals; lung; medical image processing; optical design techniques; optical testing; polarimeters; polarimetry; automated near infrared liquid crystal polarimetric imaging system; calibration; electrooptical imaging polarimeter system; histopathological samples classification; label free near-infrared polarimetric reflectance imaging; lung cancer cell discrimination; lung cancer cell sample; lung cancer detection; operational design principles; tissue diagnostic method; Biomedical optical imaging; Calibration; Cancer; Generators; Lungs; Optical imaging; Adenocarcinoma; Mueller matrix; NIR label-free cell differentiation; automated near-infrared (NIR) reflectance polarimeter; calibration; clinical applications; design; high specificity; normal lung cancer cells; squamous carcinoma; testing; testing.;
fLanguage :
English
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9456
Type :
jour
DOI :
10.1109/TIM.2015.2415013
Filename :
7119584
Link To Document :
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