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Plasmonic Sensors Based on Doubly-Deposited Tapered Optical Fibers
Sensors 2014, 14(3), 4948-4959; doi:10.3390/s140304948

Surface Plasmon Resonance for Cell-Based Clinical Diagnosis

1 Department of Dermatology, Division of Molecular Medical Science, Graduate School of Biomedical Science, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima 734-8551, Japan 2 Center for Microelectronic systems, Kyushu Institute of Technology, 680-4, Kawazu, Iizuka, Fukuoka, 820-8502, Japan
* Author to whom correspondence should be addressed.
Received: 24 December 2013 / Revised: 26 February 2014 / Accepted: 27 February 2014 / Published: 11 March 2014
(This article belongs to the Special Issue Plasmonics and Nanoplasmonics Biosensors)
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Non-invasive real-time observations and the evaluation of living cell conditions and functions are increasingly demanded in life sciences. Surface plasmon resonance (SPR) sensors detect the refractive index (RI) changes on the surface of sensor chips in label-free and on a real-time basis. Using SPR sensors, we and other groups have developed techniques to evaluate living cells’ reactions in response to stimuli without any labeling in a real-time manner. The SPR imaging (SPRI) system for living cells may visualize single cell reactions and has the potential to expand application of SPR cell sensing for clinical diagnosis, such as multi-array cell diagnostic systems and detection of malignant cells among normal cells in combination with rapid cell isolation techniques.
Keywords: surface plasmon resonance (SPR); SPR imaging (SPRI); biosensor; clinical diagnosis; diagnosis of allergy; diagnosis of cancer; optic fiber SPR surface plasmon resonance (SPR); SPR imaging (SPRI); biosensor; clinical diagnosis; diagnosis of allergy; diagnosis of cancer; optic fiber SPR
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Yanase, Y.; Hiragun, T.; Ishii, K.; Kawaguchi, T.; Yanase, T.; Kawai, M.; Sakamoto, K.; Hide, M. Surface Plasmon Resonance for Cell-Based Clinical Diagnosis. Sensors 2014, 14, 4948-4959.

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