Optoelectrokinetics-based microfluidic platform for bioapplications: A review of recent advances

Liu, Lianqing; Zhang, Hemin; Wang, Yuechao; Li, Wen J.

doi:10.1063/1.5116737

Cited by 11 publications

(10 citation statements)

References 128 publications

(156 reference statements)

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“…A new technique for manipulating tiny particles based on DEP forces, also known as optically induced dielectrophoresis (ODEP), was first introduced by Ming et al [26]. ODEP can realize label-free and non-invasive manipulation of cells [27,28] and microparticles [29,30] through optically projected patterns serving as virtual electrodes. Hence, fabricated metal electrodes for generating a non-uniform electric field in DEP are not required [31].…”

Section: Introductionmentioning

confidence: 99%

Accurate and Automatic Extraction of Cell Self-Rotation Speed in an ODEP Field Using an Area Change Algorithm

Dang

Yang

et al. 2022

Micromachines

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Cells are complex biological units that can sense physicochemical stimuli from their surroundings and respond positively to them through characterization of the cell behavior. Thus, understanding the motions of cells is important for investigating their intrinsic properties and reflecting their various states. Computer-vision-based methods for elucidating cell behavior offer a novel approach to accurately extract cell motions. Here, we propose an algorithm based on area change to automatically extract the self-rotation of cells in an optically induced dielectrophoresis field. To obtain a clear and complete outline of the cell structure, dark corner removal and contrast stretching techniques are used in the pre-processing stage. The self-rotation speed is calculated by determining the frequency of the cell area changes in all of the captured images. The algorithm is suitable for calculating in-plane and out-of-plane rotations, while addressing the problem of identical images at different rotation angles when dealing with rotations of spherical and flat cells. In addition, the algorithm can be used to determine the motion trajectory of cells. The experimental results show that the algorithm can efficiently and accurately calculate cell rotation speeds of up to ~155 rpm. Potential applications of the proposed algorithm include cell morphology extraction, cell classification, and characterization of the cell mechanical properties. The algorithm can be very helpful for those who are interested in using computer vision and artificial-intelligence-based ideology in single-cell studies, drug treatment, and other bio-related fields.

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Section: Introductionmentioning

confidence: 99%

Accurate and Automatic Extraction of Cell Self-Rotation Speed in an ODEP Field Using an Area Change Algorithm

Dang

Yang

et al. 2022

Micromachines

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“…Here, we introduce optical micromotors that are operated and controlled by optoelectronic tweezers (OET) 42 – 45 . OET is an optical micromanipulation technology that relies on photoconductive substrates that are typically insulating, but become conductive upon illuminating with light.…”

Section: Introductionmentioning

confidence: 99%

“…OET is capable of generation of forces on the order of nanoNetwons (10 −9 N) 53 , which permits the manipulation of objects with sizes >100 μm 54 , 55 . In addition, it is particularly straightforward to use OET for parallel manipulation 41 – 45 , simply by projecting movies of moving shapes into a microscope. Recently, OET was used to control discrete microrobots capable of translating secondary payloads 56 .…”

Section: Introductionmentioning

confidence: 99%

Reconfigurable multi-component micromachines driven by optoelectronic tweezers

et al. 2021

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There is great interest in the development of micromotors which can convert energy to motion in sub-millimeter dimensions. Micromachines take the micromotor concept a step further, comprising complex systems in which multiple components work in concert to effectively realize complex mechanical tasks. Here we introduce light-driven micromotors and micromachines that rely on optoelectronic tweezers (OET). Using a circular micro-gear as a unit component, we demonstrate a range of new functionalities, including a touchless micro-feed-roller that allows the programming of precise three-dimensional particle trajectories, multi-component micro-gear trains that serve as torque- or velocity-amplifiers, and micro-rack-and-pinion systems that serve as microfluidic valves. These sophisticated systems suggest great potential for complex micromachines in the future, for application in microrobotics, micromanipulation, microfluidics, and beyond.

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“…Most importantly, DEP and ROT have a good prospect for use in the extraction of such dielectric properties of cells as membrane capacitance/conductance and cytoplasm conductivity/permittivity and, thereby, in bio-related applications including the identification of target cells and the detection of cell states [47][48][49][50][51][52][53]. Optically-induced dielectrophoreis (ODEP) [54][55][56], another DEP-based mechanism, is also proposed to extract the density and mass [57,58] as well as the electrical [59][60][61] and mechanical properties [62][63][64][65] of cells. With a working principle similar to that of the DEP method, this method also relies on an AC non-uniform electric field to polarize and drive cells.…”

Section: Introductionmentioning

confidence: 99%

Determination of Dielectric Properties of Cells using AC Electrokinetic-based Microfluidic Platform: A Review of Recent Advances

Yang

Wang

et al. 2020

Micromachines

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Cell dielectric properties, a type of intrinsic property of cells, can be used as electrophysiological biomarkers that offer a label-free way to characterize cell phenotypes and states, purify clinical samples, and identify target cancer cells. Here, we present a review of the determination of cell dielectric properties using alternating current (AC) electrokinetic-based microfluidic mechanisms, including electro-rotation (ROT) and dielectrophoresis (DEP). The review covers theoretically how ROT and DEP work to extract cell dielectric properties. We also dive into the details of differently structured ROT chips, followed by a discussion on the determination of cell dielectric properties and the use of these properties in bio-related applications. Additionally, the review offers a look at the future challenges facing the AC electrokinetic-based microfluidic platform in terms of acquiring cell dielectric parameters. Our conclusion is that this platform will bring biomedical and bioengineering sciences to the next level and ultimately achieve the shift from lab-oriented research to real-world applications.

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Optoelectrokinetics-based microfluidic platform for bioapplications: A review of recent advances

Cited by 11 publications

References 128 publications

Accurate and Automatic Extraction of Cell Self-Rotation Speed in an ODEP Field Using an Area Change Algorithm

Accurate and Automatic Extraction of Cell Self-Rotation Speed in an ODEP Field Using an Area Change Algorithm

Reconfigurable multi-component micromachines driven by optoelectronic tweezers

Determination of Dielectric Properties of Cells using AC Electrokinetic-based Microfluidic Platform: A Review of Recent Advances

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