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MEMS-Based Cell Counting Methods
Date
2017-01-01
Author
Kangül, Mustafa
Aydın, Eren
Gökce, Furkan
Zorlu, Özge
Özgür, Ebru
Külah, Haluk
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URI
http://onlinelibrary.wiley.com/doi/10.1002/9781119065036.ch7/summary
https://hdl.handle.net/11511/76137
Relation
Biosensors and Nanotechnology: Applications in Health Care Diagnostics
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Department of Electrical and Electronics Engineering, Book / Book chapter
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MEMS Based Cell Counting Methods
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This book utilizes a multidisciplinary approach to provide a wide range of information on biosensors and the impact of nanotechnology on the development of biosensors for health care. It offers a solid background on biosensors, recognition receptors, biomarkers, and disease diagnostics. An overview of biosensor-based health care applications is addressed. Nanomaterial applications in biosensors and diagnostics are included, covering the application of nanoparticles, magnetic nanomaterials, quantum dots, car...
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Fuel cells can be a part of the solution to energy problem in the world. They can supply power in both macro and micro scales. Especially, MEMS based microscale microbial fuel cells (μMFC) may hold the answer to manufacture easy, cheap, fast, and mobile power sources and sensors. μMFCs are electrochemical devices converting chemical energy into electrical energy utilizing microorganisms as biocatalyst, instead of precious metal catalysts used in conventional fuel cells. They can be integrated to power...
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This review presents the current state of the conventional methods, microfluidic based biosensors, and the commercial products used in the detection of methicillin resistant Staphylococcus aureus (MRSA), which is one of the most important threats of nosocomial infections in many parts of the world. The early detection of MRSA in the specimens of the patients is important to enable the appropriate treatment, to decrease morbidity and mortality rates, and to manage control actions in the healthcare units. Thu...
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MEMS BASED MULTI-MODE MULTI-CHANNEL PIEZOELECTRIC SENSOR FOR FULLY IMPLANTABLE COCHLEAR IMPLANTS
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This thesis presents a novel multi-mode, multi-channel piezoelectric sensor with broad bandwidth that is placed on the ossicles via an attachment system. The proposed sensor collects the vibration of the ossicles and mechanically filters the incoming sound. The finite element model of the middle ear is constructed as a starting point to examine the characteristics of the middle ear. The vibration characteristic of the ossicle chain is studied and the most suitable locations for the sensor placement are...
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M. Kangül, E. Aydın, F. Gökce, Ö. Zorlu, E. Özgür, and H. Külah,
MEMS-Based Cell Counting Methods
. 2017, p. 153.