Dielectrophoresis-based microfluidic platforms for cancer diagnostics

Chan, Jun Yuan; Kayani, Aminuddin Bin Ahmad; Ali, Mohd Alaudin Mohd; Kok, Chee Kuang; Majlis, Burhanuddin Yeop; Hoe, Susan; Marzuki, Marini; Khoo, Alan Soo‐Beng; Ostrikov, Kostya Ken; Rahman, Ataur; Sriram, Sharath

doi:10.1063/1.5010158

Cited by 53 publications

(43 citation statements)

References 124 publications

(141 reference statements)

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“…If the cells are more polarizable then the medium, they will move to the regions with the highest electric field strength (positive DEP-pDEP) and vice versa, in case the cells are less polarizable, they will move to the regions with the lowest electric field strength (negative DEP-nDEP). Finally, the application of the non-uniform electric field causes the movement of cells due to their polarization (Figure 11), which is called dielectrophoresis (DEP) [191]. If the cells are more polarizable then the medium, they will move to the regions with the highest electric field strength (positive DEP-pDEP) and vice versa, in case the cells are less polarizable, they will move to the regions with the lowest electric field strength (negative DEP-nDEP).…”

Section: Electrokinetic Cell Separationmentioning

confidence: 99%

Section: Electrokinetic Cell Separationmentioning

confidence: 99%

“…However, the necessity to form water droplets is the significant drawback of conventional FACS systems that was successfully overcome by the introduction of microfluidic devices. [191]. Copyright 2018, AIP Publishing.…”

Section: Electrokinetic Cell Separationmentioning

confidence: 99%

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Detection of Rare Objects by Flow Cytometry: Imaging, Cell Sorting, and Deep Learning Approaches

Voronin

Kozlova

Verkhovskii

et al. 2020

IJMS

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Flow cytometry nowadays is among the main working instruments in modern biology paving the way for clinics to provide early, quick, and reliable diagnostics of many blood-related diseases. The major problem for clinical applications is the detection of rare pathogenic objects in patient blood. These objects can be circulating tumor cells, very rare during the early stages of cancer development, various microorganisms and parasites in the blood during acute blood infections. All of these rare diagnostic objects can be detected and identified very rapidly to save a patient’s life. This review outlines the main techniques of visualization of rare objects in the blood flow, methods for extraction of such objects from the blood flow for further investigations and new approaches to identify the objects automatically with the modern deep learning methods.

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Section: Electrokinetic Cell Separationmentioning

confidence: 99%

Section: Electrokinetic Cell Separationmentioning

confidence: 99%

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Detection of Rare Objects by Flow Cytometry: Imaging, Cell Sorting, and Deep Learning Approaches

Voronin

Kozlova

Verkhovskii

et al. 2020

IJMS

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“…Chan et al. focused on the microfluidic DEP devices applied for cancer diagnostic. Li and Anand discussed both “on‐chip” and “off‐chip” single‐cell dielectrophoretic analysis with special concentration on eukaryotic cells.…”

Section: Introductionmentioning

confidence: 99%

Recent advances in dielectrophoresis‐based cell viability assessment

et al. 2020

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Recent advances in dielectrophoresis-based cell viability assessmentDielectrophoresis (DEP) is a non-destructive, accurate, and label-free cell manipulating technique and DEP applications have been found in various fields. Assessment of cell viability is one of the important applications and many investigations have been reported. In this paper, cell polarization and its modeling, some key parameters employed for living/dead cell separation, as well as electrode configurations are reviewed. Focus is given to the latest development of DEP devices employed for the assessment of cell viability. Experimentally determined factors for separating living/dead cells, such as the conductivity of suspending medium and the frequency of applied electric field, are summarized. The future directions and potential challenges in this field are also outlined. Theory of cell DEPThe fundamentals of DEP were systematically reviewed in the past [35,36]. In this section, we only focus on the theory concerning cellular DEP. Based on the spherical particle model, single-shell model and multi-shell model of biological cells are extended. Color online: See the article online to view Figs. 1-7 in color. J. Zhang et al. Electrophoresis 2020, 41, 917-932

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“…The ability to manipulate biological particles (cells, viruses, proteins, DNA molecules) is important for biomedicine , biotechnology , and other fields related to biological micro‐ and nanoobjects.…”

Section: Introductionmentioning

confidence: 99%

Barrier contactless dielectrophoresis: A new approach to particle separation

Podoynitsyn

Sorokina

Klimov

et al. 2019

Separation Science Plus

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Barrier contactless dielectrophoresis is proposed as a method for microbiological particle separation. Design of a separation device for barrier contactless dielectrophoresis is discussed. The principle of separation device is based on formation of barriers of gradient fields in the volume of separation chamber by electrodes with passivation dielectric coating of silicon carbide. A feature of the method is absence of contact between separated samples and conductive elements of electrode structure. The proposed method is highly efficient and easy to use in comparison with dielectrophoresis on isolated structures and conventional planar systems. Computer simulation of electric field distribution over dielectrophoretic barriers is carried out, and effect of the thickness of the passivation coating on dielectrophoretic properties of barriers is shown. Forces acting on a particle (a yeast cell with a diameter of 7 μm) in separation chamber are evaluated using computer simulation data. Ability of the cell to be captured by the method of contactless barrier dielectrophoresis is theoretically predicted and confirmed experimentally, using yeast cells. The yeast cells subjected to positive dielectrophoresis can be effectively captured (up to 90%) by the separation device at the applied voltage of 20 V and 100 kHz and at flow rate of 20 mL/h.

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Dielectrophoresis-based microfluidic platforms for cancer diagnostics

Cited by 53 publications

References 124 publications

Detection of Rare Objects by Flow Cytometry: Imaging, Cell Sorting, and Deep Learning Approaches

Detection of Rare Objects by Flow Cytometry: Imaging, Cell Sorting, and Deep Learning Approaches

Recent advances in dielectrophoresis‐based cell viability assessment

Barrier contactless dielectrophoresis: A new approach to particle separation

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