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In order to address this issue, this study collected inherent bioelectrical parameters from hundreds of thousands of white blood cells based on a home\u2010developed impedance flow cytometry with corresponding 3\u2010part differential of leukocytes realized. More specifically, leukocytes were separated into three major subtypes of granulocytes, monocytes and lymphocytes based on density gradient centrifugation. Then these separated cells were aspirated through a constriction\u2010microchannel based impedance flow cytometry where inherent bioelectrical parameters of D<jats:sub>c<\/jats:sub>, C<jats:sub>sm<\/jats:sub> and \u03c3<jats:sub>cy<\/jats:sub> were quantified as 9.8\u2009\u00b1\u20090.7\u00a0\u03bcm, 2.06\u2009\u00b1\u20090.26\u2009\u03bcF\/cm<jats:sup>2<\/jats:sup>, and 0.34\u2009\u00b1\u20090.05\u2009S\/m for granulocytes (n<jats:sub>cell<\/jats:sub>\u00a0=\u00a0134,829); 10.4\u2009\u00b1\u20091.0\u00a0\u03bcm, 2.45\u2009\u00b1\u20090.48\u2009\u03bcF\/cm<jats:sup>2<\/jats:sup>, and 0.42\u2009\u00b1\u20090.08\u2009S\/m for monocytes (n<jats:sub>cell<\/jats:sub>\u00a0=\u00a040,226); 8.0\u2009\u00b1\u20090.5\u00a0\u03bcm, 2.23\u2009\u00b1\u20090.34\u2009\u03bcF\/cm<jats:sup>2<\/jats:sup>, and 0.35\u2009\u00b1\u20090.08\u2009S\/m for lymphocytes (n<jats:sub>cell<\/jats:sub>\u00a0=\u00a0129,193). Based on these inherent bioelectrical parameters, neural pattern recognition was conducted, producing a high \u201cclassification accuracy\u201d of 93.5% in classifying these three subtypes of leukocytes. These results indicate that as inherent bioelectrical parameters, D<jats:sub>c<\/jats:sub>, C<jats:sub>sm<\/jats:sub>, and \u03c3<jats:sub>cy<\/jats:sub> can be used to electrically phenotype white blood cells in a label\u2010free manner.<\/jats:p>","DOI":"10.1002\/cyto.a.24544","type":"journal-article","created":{"date-parts":[[2022,2,12]],"date-time":"2022-02-12T04:15:07Z","timestamp":1644639307000},"page":"630-638","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Inherent bioelectrical parameters of hundreds of thousands of single leukocytes based on impedance flow cytometry"],"prefix":"10.1002","volume":"101","author":[{"given":"Huiwen","family":"Tan","sequence":"first","affiliation":[{"name":"State Key Laboratory of Transducer Technology, Aerospace Information Research Institute Chinese Academy of Sciences  Beijing China"},{"name":"School of Future Technology University of Chinese Academy of Sciences  Beijing 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Chinese Academy of Sciences  Beijing China"},{"name":"School of Electronic, Electrical and Communication Engineering University of Chinese Academy of Sciences  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Deyong","family":"Chen","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Transducer Technology, Aerospace Information Research Institute Chinese Academy of Sciences  Beijing China"},{"name":"School of Future Technology University of Chinese Academy of Sciences  Beijing China"},{"name":"School of Electronic, Electrical and Communication Engineering University of Chinese Academy of Sciences  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yueying","family":"Li","sequence":"additional","affiliation":[{"name":"CAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development Beijing Institute of Genomics, Chinese Academy of Sciences  Beijing China"},{"name":"China National Center for Bioinformation  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min\u2010Hsien","family":"Wu","sequence":"additional","affiliation":[{"name":"Graduate Institute of Biochemical and Biomedical Engineering Chang Gung University  Taoyuan City China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ke","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering Beijing University of Posts and Telecommunications  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junbo","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Transducer Technology, Aerospace Information Research Institute Chinese Academy of Sciences  Beijing China"},{"name":"School of Future Technology University of Chinese Academy of Sciences  Beijing China"},{"name":"School of Electronic, Electrical and Communication Engineering University 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