2018
DOI: 10.1016/j.ymeth.2017.12.009
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Alternatives to current flow cytometry data analysis for clinical and research studies

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Cited by 18 publications
(7 citation statements)
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“…High resolution phenotyping of T cell populations using a mass cytometry (e.g., CyTOF) to study a wide array of activation and signaling molecules might be of additive value to better define the T cell fingerprints of NIU, and improve prediction and choice of IMT for individual patients ( 40 ). Also, future studies should not be limited to T cell populations: we recently linked serum microRNA levels of NIU patients to decreased frequency of blood CD16 + NK cells ( 41 ).…”
Section: Discussionmentioning
confidence: 99%
“…High resolution phenotyping of T cell populations using a mass cytometry (e.g., CyTOF) to study a wide array of activation and signaling molecules might be of additive value to better define the T cell fingerprints of NIU, and improve prediction and choice of IMT for individual patients ( 40 ). Also, future studies should not be limited to T cell populations: we recently linked serum microRNA levels of NIU patients to decreased frequency of blood CD16 + NK cells ( 41 ).…”
Section: Discussionmentioning
confidence: 99%
“…Next, adding 10 μl PI and 5 μl Annexin V-FITC to stain apoptosis cells. Staining cells were calculated with BD LSR flow cytometer (BD Biosciences, San Jose, CA, United States) and the data was analyzed by a software named FlowJo ( Gondhalekar et al, 2018 ; Libregts et al, 2018 ).…”
Section: Methodsmentioning
confidence: 99%
“…Data analysis is moving toward automation, visualization, and accuracy. More and more new data analysis tools and algorithms have emerged .…”
Section: Data Analysis In Microfluidic Flow Cytometrymentioning
confidence: 99%