Paper
16 February 2017 Evaluation of a novel label-free photonic-crystal biosensor imaging system for the detection of prostate cancer cells
Frank DeLuna, XiaoFie Ding, Lu-Zhe Sun, Jing Yong Ye
Author Affiliations +
Abstract
Biomarker screening for prostate-specific antigen (PSA) is the current clinical standard for detection of prostate cancer. However this method has shown many limitations, mainly in its specificity, which can lead to a high false positive rate. Thus, there is a growing need in developing a more specific detection system for prostate cancer. Using a Photonic- Crystal-based biosensor in a Total-Internal-Reflection (PC-TIR) configuration, we demonstrate the use of refractive index (RI) to accomplish label-free detection of prostate cancer cells against non-cancerous prostate epithelial cells. The PC-TIR biosensor possesses an open microcavity, which in contrast to traditional closed microcavities, allows for easier access of analyte molecules or cells to interact with its sensing surface. In this study, an imaging system was designed using the PC-TIR biosensor to quantify cell RI as the contrast parameter for prostate cancer detection. Non-cancerous BPH-1 prostate epithelial cells and prostate cancer PC-3 cells were placed on a single biosensor and measured concurrently. Recorded image data was then analyzed through a home-built MatLab program. Results demonstrate that RI is a suitable variable for differentiation between prostate cancer cells and non-cancerous prostate epithelial cells. Our study shows clinical potential in utilizing RI test for the detection of prostate cancer.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Frank DeLuna, XiaoFie Ding, Lu-Zhe Sun, and Jing Yong Ye "Evaluation of a novel label-free photonic-crystal biosensor imaging system for the detection of prostate cancer cells", Proc. SPIE 10068, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XV, 100681H (16 February 2017); https://doi.org/10.1117/12.2249630
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Biosensors

Prostate cancer

Prostate

Imaging systems

Sensors

Optical microcavities

Refractive index

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