Integration of Dielectrophoretic Selective Single-Cell Capture at a Wireless Electrode Array with On-Chip Analysis

Author(s):  
Robbyn Anand ◽  
Darshna Pagariya ◽  
Joseph Banovetz ◽  
Han Chen ◽  
Sommer Osman ◽  
...  
2019 ◽  
Vol 10 (5) ◽  
pp. 1506-1513 ◽  
Author(s):  
Min Li ◽  
Robbyn K. Anand

We present integration of selective single-cell capture at an array of wireless electrodes (bipolar electrodes, BPEs) with transfer into chambers, reagent exchange, fluidic isolation and rapid electrical lysis in a single platform, thus minimizing sample loss and manual intervention steps.


2020 ◽  
Vol 14 (2) ◽  
pp. 021502 ◽  
Author(s):  
Cheuk Wang Fung ◽  
Shek Nga Chan ◽  
Angela Ruohao Wu

ACS Sensors ◽  
2020 ◽  
Vol 5 (3) ◽  
pp. 740-745 ◽  
Author(s):  
Kosuke Ino ◽  
Ryosuke Yaegaki ◽  
Kaoru Hiramoto ◽  
Yuji Nashimoto ◽  
Hitoshi Shiku

Biosensors ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 110 ◽  
Author(s):  
Erika Ferrari ◽  
Cecilia Palma ◽  
Simone Vesentini ◽  
Paola Occhetta ◽  
Marco Rasponi

Organs-on-chip (OoC), often referred to as microphysiological systems (MPS), are advanced in vitro tools able to replicate essential functions of human organs. Owing to their unprecedented ability to recapitulate key features of the native cellular environments, they represent promising tools for tissue engineering and drug screening applications. The achievement of proper functionalities within OoC is crucial; to this purpose, several parameters (e.g., chemical, physical) need to be assessed. Currently, most approaches rely on off-chip analysis and imaging techniques. However, the urgent demand for continuous, noninvasive, and real-time monitoring of tissue constructs requires the direct integration of biosensors. In this review, we focus on recent strategies to miniaturize and embed biosensing systems into organs-on-chip platforms. Biosensors for monitoring biological models with metabolic activities, models with tissue barrier functions, as well as models with electromechanical properties will be described and critically evaluated. In addition, multisensor integration within multiorgan platforms will be further reviewed and discussed.


2021 ◽  
Author(s):  
Rongxin Fu ◽  
Ya Su ◽  
Ruliang Wang ◽  
Xue Lin ◽  
Xiangyu Jin ◽  
...  

Author(s):  
T. Ichiki ◽  
T. Ujiie ◽  
T. Hara ◽  
Y. Horiike ◽  
K. Yasuda

2007 ◽  
Vol 46 (9B) ◽  
pp. 6410-6414 ◽  
Author(s):  
Norifumi Ikeda ◽  
Nobuaki Tanaka ◽  
Yasuko Yanagida ◽  
Takeshi Hatsuzawa
Keyword(s):  

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Mathias Girault ◽  
Hyonchol Kim ◽  
Hisayuki Arakawa ◽  
Kenji Matsuura ◽  
Masao Odaka ◽  
...  

2021 ◽  
Author(s):  
Jeff Darabi ◽  
Joseph Schober

Abstract Studies have shown that primary tumor sites begin shedding cancerous cells into peripheral blood at early stages of cancer, and the presence and frequency of circulating tumor cells (CTCs) in blood is directly proportional to disease progression. The challenge is that the concentration of the CTCs in peripheral blood may be extremely low. In the past few years, several microfluidic-based concepts have been investigated to isolate CTCs from whole blood. However, these devices are generally hampered by complex fabrication processes and very low volumetric throughputs, which may not be practical for rapid clinical applications. This paper presents a high-performance yet simple magnetophoretic microfluidic chip for the enrichment and on-chip analysis of rare CTCs from blood. Microscopic and flow cytometric assays developed for selection of cancer cell lines, selection of monoclonal antibodies, and optimization of bead coupling are discussed. Additionally, on-chip characterization of rare cancer cells using high resolution immunofluorescence microscopy and modeling results for prediction of CTC capture length are presented. The device has the ability to interface directly with on-chip pre and post processing modules such as mixing, incubation, and automated image analysis systems. These features will enable us to isolate rare cancer cells from whole blood and detect them on the chip with subcellular resolution.


Oncotarget ◽  
2016 ◽  
Vol 7 (16) ◽  
pp. 22448-22459 ◽  
Author(s):  
I-Hsiao Chung ◽  
Hsuan Liu ◽  
Yang-Hsiang Lin ◽  
Hsiang-Cheng Chi ◽  
Ya-Hui Huang ◽  
...  

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