A Prominent Cell Manipulation Technique in BioMEMS: Dielectrophoresis

Date

2020-11-01

Author

Caglayan, Zeynep
Demircan Yalcin, Yagmur
Külah, Haluk

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

136
views

0
downloads

BioMEMS, the biological and biomedical applications of micro-electro-mechanical systems (MEMS), has attracted considerable attention in recent years and has found widespread applications in disease detection, advanced diagnosis, therapy, drug delivery, implantable devices, and tissue engineering. One of the most essential and leading goals of the BioMEMS and biosensor technologies is to develop point-of-care (POC) testing systems to perform rapid prognostic or diagnostic tests at a patient site with high accuracy. Manipulation of particles in the analyte of interest is a vital task for POC and biosensor platforms. Dielectrophoresis (DEP), the induced movement of particles in a non-uniform electrical field due to polarization effects, is an accurate, fast, low-cost, and marker-free manipulation technique. It has been indicated as a promising method to characterize, isolate, transport, and trap various particles. The aim of this review is to provide fundamental theory and principles of DEP technique, to explain its importance for the BioMEMS and biosensor fields with detailed references to readers, and to identify and exemplify the application areas in biosensors and POC devices. Finally, the challenges faced in DEP-based systems and the future prospects are discussed.

URI

https://hdl.handle.net/11511/69385

Journal

MICROMACHINES

DOI

https://doi.org/10.3390/mi11110990

Collections

Department of Electrical and Electronics Engineering, Article

Suggestions

OpenMETU
Core

Investigation of in vitro cytotoxic effects of heparin coated iron oxide nanoparticles combined with tpp-dca on human hepatocellular carcinoma cell line HEPG2 Saraç, Başak Ezgi; Güray, Nülüfer Tülün; Volkan, Mürvet; Department of Biology (2018) Nanotechnology in medicine involves the applications of nanoparticles and one of the rising field is cancer nanotechnology, which has been increasingly used in cancer diagnostics, imaging, and therapeutic drug delivery. The advantage of the use of the nanoparticles is that, they can be designed to be specific for tumor tissue. This allows increased drug delivery efficiency and reduced off-target toxicities. Iron oxide nanoparticles used in this study are smaller than 100 nm but still it gives an enhanced su...
A novel layered boron-based neutron shield design and results from neutron and gamma irradiation studies Muçogllava, Brunilda; Demirköz, Melahat Bilge; Uzun Duran, Selcen; Department of Micro and Nanotechnology (2022-2-18) Neutron radiation is a widely used tool in medical radiotherapy, non-destructive radiography, material structural studies, and more. However, the absence of electromagnetic charge allows neutrons to easily penetrate materials and skin, causing radioactivation, ionization and displacement damage. For each of the aforementioned applications, shielding against neutrons is of utmost importance. A novel, layered boron-based shield has been designed and tested for shielding in medical applications. The design int...
In vitro microfluidic models of tumor microenvironment to screen transport of drugs and nanoparticles Özçelikkale, Altuğ; Linnes, Michael; Han, Bumsoo (2017-09-01) Advances in nanotechnology have enabled numerous types of nanoparticles (NPs) to improve drug delivery to tumors. While many NP systems have been proposed, their clinical translation has been less than anticipated primarily due to failure of current preclinical evaluation techniques to adequately model the complex interactions between the NP and physiological barriers of tumor microenvironment. This review focuses on microfluidic tumor models for characterization of delivery efficacy and toxicity of cancer ...
An open-source framework of neural networks for diagnosis of coronary artery disease from myocardial perfusion SPECT Guner, Levent A.; Karabacak, Nese Ilgin; Akdemir, Ozgur U.; Karagöz, Pınar; KOCAMAN, SİNAN ALTAN; ÇENGEL, ATİYE; ÜNLÜ, MUSTAFA (2010-06-01) The purpose of this study is to develop and analyze an open-source artificial intelligence program built on artificial neural networks that can participate in and support the decision making of nuclear medicine physicians in detecting coronary artery disease from myocardial perfusion SPECT (MPS).
Improving the sub-cortical gm segmentation using evolutionary hierarchical region merging Çiftçioğlu, Mustafa Ulaş; Gökçay, Didem; Department of Medical Informatics (2011) Segmentation of sub-cortical Gray Matter (GM) structures in magnetic resonance brain images is crucial in clinic and research for many purposes such as early diagnosis of neurological diseases, guidance of surgical operations and longitudinal volumetric studies. Unfortunately, the algorithms that segment the brain into 3 tissues usually suffer from poor performance in the sub-cortical region. In order to increase the detection of sub-cortical GM structures, an evolutionary hierarchical region merging approa...

Citation Formats

Z. Caglayan, Y. Demircan Yalcin, and H. Külah, “A Prominent Cell Manipulation Technique in BioMEMS: Dielectrophoresis,” MICROMACHINES, pp. 0–0, 2020, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/69385.