A generalized theoretical model for “continuous particle separation in a microchannel having asymmetrically arranged multiple branches”

Andersen, Karsten Brandt; Levinsen, Simon; Svendsen, Winnie Edith; Okkels, Fridolin

doi:10.1039/b822959g

Cited by 14 publications

(15 citation statements)

References 1 publication

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“…Channel geometry, particle size, fluid transport, and volumetric flow ratio of input‐channel fluids are all known to affect the trajectories of particle motion through the device. Andersen et al recently developed a model based on the laminar velocity profile in a rectangular channel and assuming that particles leave the top corner of the pinch and follow the fluid streamlines into different exit or drain channels depending on particle size. This model provides better agreement with experiments than previous models.…”

Section: Introductionmentioning

confidence: 99%

Hydrodynamic separation of particles using pinched‐flow fractionation

2013

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Rigid particles transported through a pinched-flow fractionation (PFF) device are simulated using boundary-integral methods (BIM). The PFF device separates particles by size using a bifurcated microfluidic channel. The critical flow ratio of the two input channels required to achieve complete separation of large and small particles decreases with increasing diameter of the larger particles relative to the pinch height, and is nearly independent of the smaller particle size. A narrow pinch with a square exit was shown to have the lowest critical flow ratio and was selected as the model device to be fabricated. Experiments conducted using this device confirm that the larger particles exit further from the top wall than do the smaller particles, due to steric exclusion, and the final exit positions are within a few percent of the simulation results. It is shown that BIM is a valuable tool in the design of microfluidic devices.

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Section: Introductionmentioning

confidence: 99%

Hydrodynamic separation of particles using pinched‐flow fractionation

2013

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“…The desire to generate isolation systems that are more readily amenable to diagnostic use has led to a growth in the design of microfluidic, lab-on-a-chip type systems capable of separating and capturing particles of different sizes. Many techniques have been developed using microfluidics to separate microparticles, using methods such as a combination of centrifugal force and graduated mechanical gap (Maruyama et al 2010), flow splitting and recombining (so-called biomimetic devices that rely on size-based variations in particle behavior when in laminar flow) (Takagi et al 2005;Yamada and Seki 2006;Andersen et al 2009); optical fractionation (MacDonald et al 2003;Ladavac et al 2004;Milne et al 2007;Smith et al 2007), or deterministic lateral displacement arrays, which function much like a particle sieve (Huang et al 2004;Mohamed et al 2004;Loutherback et al 2010). Research has also demonstrated that it is possible to isolate shed microvesicles from the cells of origin based on size discrimination using dielectrophoretic sorting.…”

Section: Isolation and Separation Formats For Shed Vesicle Populationsmentioning

confidence: 99%

Tumor-derived microvesicles: shedding light on novel microenvironment modulators and prospective cancer biomarkers

D’Souza‐Schorey¹,

Clancy²

2012

Genes Dev.

469

471

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Recent advances in the study of tumor-derived microvesicles reveal new insights into the cellular basis of disease progression and the potential to translate this knowledge into innovative approaches for cancer diagnostics and personalized therapy. Tumor-derived microvesicles are heterogeneous membrane-bound sacs that are shed from the surfaces of tumor cells into the extracellular environment. They have been thought to deposit paracrine information and create paths of least resistance, as well as be taken up by cells in the tumor microenvironment to modulate the molecular makeup and behavior of recipient cells. The complexity of their bioactive cargo—which includes proteins, RNA, microRNA, and DNA—suggests multipronged mechanisms by which microvesicles can condition the extracellular milieu to facilitate disease progression. The formation of these shed vesicles likely involves both a redistribution of surface lipids and the vertical trafficking of cargo to sites of microvesicle biogenesis at the cell surface. Current research also suggests that molecular profiling of these structures could unleash their potential as circulating biomarkers as well as platforms for personalized medicine. Thus, new and improved strategies for microvesicle identification, isolation, and capture will have marked implications in point-of-care diagnostics for cancer patients.

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“…This modification is capable of separating 1 µm and 2.1 µm particles with an efficiency of 80%. Additionally, the broadening of the pinched segment allows adding downstream collecting channels in the PFF design [337]. Alternatively, the separation resolution was enhanced by a simple geometric modification of the primary PFF design like adding a snakelike part to channel [338].…”

Section: Pinched Flow Fractionationmentioning

confidence: 99%

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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A generalized theoretical model for “continuous particle separation in a microchannel having asymmetrically arranged multiple branches”

Cited by 14 publications

References 1 publication

Hydrodynamic separation of particles using pinched‐flow fractionation

Hydrodynamic separation of particles using pinched‐flow fractionation

Tumor-derived microvesicles: shedding light on novel microenvironment modulators and prospective cancer biomarkers

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

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