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Towards an Automated MEMS-based Characterization of Benign and Cancerous Breast Tissue using Bioimpedance Measurements.
Pandya, Hardik J; Kim, Hyun Tae; Roy, Rajarshi; Chen, Wenjin; Cong, Lei; Zhong, Hua; Foran, David J; Desai, Jaydev P.
Afiliação
  • Pandya HJ; Department of Mechanical Engineering, Maryland Robotics Center, Institute for Systems Research, University of Maryland, College Park, Maryland 20742, USA.
  • Kim HT; Department of Mechanical Engineering, Maryland Robotics Center, Institute for Systems Research, University of Maryland, College Park, Maryland 20742, USA.
  • Roy R; Department of Mechanical Engineering, Maryland Robotics Center, Institute for Systems Research, University of Maryland, College Park, Maryland 20742, USA.
  • Chen W; Center for Biomedical Imaging and Informatics, Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ-08901, USA.
  • Cong L; Center for Biomedical Imaging and Informatics, Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ-08901, USA.
  • Zhong H; Department of Pathology and Laboratory Medicine Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ-08903, USA.
  • Foran DJ; Center for Biomedical Imaging and Informatics, Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ-08901, USA.
  • Desai JP; Department of Mechanical Engineering, Maryland Robotics Center, Institute for Systems Research, University of Maryland, College Park, Maryland 20742, USA.
Sens Actuators B Chem ; 199: 259-268, 2014 Aug 01.
Article em En | MEDLINE | ID: mdl-25013305
ABSTRACT
Micro-Electro-Mechanical-Systems (MEMS) are desirable for use within medical diagnostics because of their capacity to manipulate and analyze biological materials at the microscale. Biosensors can be incorporated into portable lab-on-a-chip devices to quickly and reliably perform diagnostics procedure on laboratory and clinical samples. In this paper, electrical impedance-based measurements were used to distinguish between benign and cancerous breast tissues using microchips in a real-time and label-free manner. Two different microchips having inter-digited electrodes (10 µm width with 10 µm spacing and 10 µm width with 30 µm spacing) were used for measuring the impedance of breast tissues. The system employs Agilent E4980A precision impedance analyzer. The impedance magnitude and phase were collected over a frequency range of 100 Hz to 2 MHz. The benign group and cancer group showed clearly distinguishable impedance properties. At 200 kHz, the difference in impedance of benign and cancerous breast tissue was significantly higher (3110 Ω) in the case of microchips having 10 µm spacing compared to microchip having 30 µm spacing (568 Ω).
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2014 Tipo de documento: Article