Machine learning-based cytokine microarray digital immunoassay analysis

Serial measurement of a large panel of protein biomarkers near the bedside could provide a promising pathway to transform the critical care of acutely ill patients. However, attaining the combination of high sensitivity and multiplexity with a short assay turnaround poses a formidable technological...

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Veröffentlicht in:Biosensors & bioelectronics 2021-05, Vol.180, p.113088-113088, Article 113088
Hauptverfasser: Song, Yujing, Zhao, Jingyang, Cai, Tao, Stephens, Andrew, Su, Shiuan-Haur, Sandford, Erin, Flora, Christopher, Singer, Benjamin H., Ghosh, Monalisa, Choi, Sung Won, Tewari, Muneesh, Kurabayashi, Katsuo
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Sprache:eng
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Zusammenfassung:Serial measurement of a large panel of protein biomarkers near the bedside could provide a promising pathway to transform the critical care of acutely ill patients. However, attaining the combination of high sensitivity and multiplexity with a short assay turnaround poses a formidable technological challenge. Here, the authors develop a rapid, accurate, and highly multiplexed microfluidic digital immunoassay by incorporating machine learning-based autonomous image analysis. The assay has achieved 12-plexed biomarker detection in sample volume
ISSN:0956-5663
1873-4235
DOI:10.1016/j.bios.2021.113088