Microfluidic FACS becoming real

Liu, Chengxun

doi:10.1002/cyto.a.23376

Cited by 6 publications

(7 citation statements)

References 10 publications

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“…The detected signal is then used to identify the cells expressing the marker of interest and sort them into a collection vessel. Modern FACS systems are often built with several lasers and a large number of detectors that make them suitable for the identification and isolation of multiple cell types in parallel or of cells with complex phenotypes . Although the sorting output of FACS is very precise, flow cytometry is expensive and often needs a trained operator .…”

Section: Microfluidic Platforms For Sorting and Classifying Neuronal ...mentioning

confidence: 99%

“…Although the sorting output of FACS is very precise, flow cytometry is expensive and often needs a trained operator . Fortunately, such costs can be sharply reduced by the use of sample pumping, focusing, and sorting, as employed in microfluidic FACS platforms (μFACS; Figure G) . These elements can be additionally integrated with downstream analysis and processing steps in lab-on-a-chip devices .…”

Section: Microfluidic Platforms For Sorting and Classifying Neuronal ...mentioning

confidence: 99%

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Microfluidics for Neuronal Cell and Circuit Engineering

et al. 2022

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The widespread adoption of microfluidic devices among the neuroscience and neurobiology communities has enabled addressing a broad range of questions at the molecular, cellular, circuit, and system levels. Here, we review biomedical engineering approaches that harness the power of microfluidics for bottom-up generation of neuronal cell types and for the assembly and analysis of neural circuits. Microfluidics-based approaches are instrumental to generate the knowledge necessary for the derivation of diverse neuronal cell types from human pluripotent stem cells, as they enable the isolation and subsequent examination of individual neurons of interest. Moreover, microfluidic devices allow to engineer neural circuits with specific orientations and directionality by providing control over neuronal cell polarity and permitting the isolation of axons in individual microchannels. Similarly, the use of microfluidic chips enables the construction not only of 2D but also of 3D brain, retinal, and peripheral nervous system model circuits. Such brain-on-a-chip and organoid-on-a-chip technologies are promising platforms for studying these organs as they closely recapitulate some aspects of in vivo biological processes. Microfluidic 3D neuronal models, together with 2D in vitro systems, are widely used in many applications ranging from drug development and toxicology studies to neurological disease modeling and personalized medicine. Altogether, microfluidics provide researchers with powerful systems that complement and partially replace animal models.

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Section: Microfluidic Platforms For Sorting and Classifying Neuronal ...mentioning

confidence: 99%

Section: Microfluidic Platforms For Sorting and Classifying Neuronal ...mentioning

confidence: 99%

Microfluidics for Neuronal Cell and Circuit Engineering

et al. 2022

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“…Various on-chip sample sorting methods have been employed in MFCM and they can be generally split into active and passive approaches. [118][119][120] Active sorting relies on external forces (enabled by electric, magnetic, optical, acoustic, or piezoelectric actuation), while passive separation utilises the internal dynamics (such as specifically designed geometric microstructures in microchannels). 121,122 In this section, we summarise the main sorting approaches and their characteristics in MFCM.…”

Section: Sorting Systems For Microfluidic Flow Cytometrymentioning

confidence: 99%

Microfluidic flow cytometry for blood-based biomarker analysis

Zhang

Zhao

Cole

et al. 2022

Analyst

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“…In a conventional flow cytometer, the sample sorting is achieved by deflecting the charged droplets under an electric field. For the microfluidic flow cytometry, many different microchip sorting systems have been described . Generally, it can be divided into active and passive methods.…”

Section: Flow Control In Microfluidic Flow Cytometrymentioning

confidence: 99%

New advances in microfluidic flow cytometry

Gong

Fan

et al. 2018

Electrophoresis

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In recent years, researchers are paying the increasing attention to the development of portable microfluidic diagnostic devices including microfluidic flow cytometry for the point‐of‐care testing. Microfluidic flow cytometry, where microfluidics and flow cytometry work together to realize novel functionalities on the microchip, provides a powerful tool for measuring the multiple characteristics of biological samples. The development of a portable, low‐cost, and compact flow cytometer can benefit the health care in underserved areas such as Africa or Asia. In this article, we review recent advancements of microfluidics including sample pumping, focusing and sorting, novel detection approaches, and data analysis in the field of flow cytometry. The challenge of microfluidic flow cytometry is also examined briefly.

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Microfluidic FACS becoming real

Cited by 6 publications

References 10 publications

Microfluidics for Neuronal Cell and Circuit Engineering

Microfluidics for Neuronal Cell and Circuit Engineering

Microfluidic flow cytometry for blood-based biomarker analysis

New advances in microfluidic flow cytometry

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