About: Methods for counting particles in microfluidic applications

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Methods for counting particles in microfluidic applications
Creator	Chan, A Li, Dongqing Zhang, Hongpeng Ae, Pan Chon, Hee Xinxiang, A
Source	PMC
abstract	Microfluidic particle counters are important tools in biomedical diagnostic applications such as flow cytometry analysis. Major methods of counting particles in microfluidic devices are reviewed in this paper. The microfluidic resistive pulse sensor advances in sensitivity over the traditional Coulter counter by improving signal amplification and noise reduction techniques. Nanopore-based methods are used for single DNA molecule analysis and the capacitance counter is useful in liquids of low electrical conductivity and in sensing the changes of cell contents. Light-scattering and light-blocking counters are better for detecting larger particles or concentrated particles. Methods of using fluorescence detection have the capability for differentiating particles of similar sizes but different types that are labeled with different fluorescent dyes. The micro particle image velocimetry method has also been used for detecting and analyzing particles in a flow field. The general limitation of microfluidic particle counters is the low throughput which needs to be improved in the future. The integration of two or more existing microfluidic particle counting techniques is required for many practical on-chip applications.
has issue date	2009-08-20(xsd:dateTime)
bibo:doi	10.1007/s10404-009-0493-7
bibo:pmid	32214956
has license	no-cc
sha1sum (hex)	c54cb52eaf7d6bdbffd36f0e47b43d5841c2b8c7
schema:url	https://doi.org/10.1007/s10404-009-0493-7
resource representing a document's title	Methods for counting particles in microfluidic applications
has PubMed Central identifier	PMC7088397
has PubMed identifier	32214956
schema:publication	Microfluid Nanofluidics
resource representing a document's body	covid:c54cb52eaf7d6bdbffd36f0e47b43d5841c2b8c7#body_text
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