检出限
计算机科学
注意事项
蛋白质检测
自动化方法
检测点注意事项
色谱法
医学
人工智能
化学
纳米技术
病理
材料科学
作者
Hui Chen,Zhao Li,Lingzhi Zhang,Philippe Sawaya,Jianbo Shi,Ping Wang
标识
DOI:10.1002/anie.201906856
摘要
Quantitating ultra-low concentrations of protein biomarkers is critical for early disease diagnosis and treatment. However, most current point-of-care (POC) assays are limited in sensitivity. Herein, we introduce an ultra-sensitive and facile microbubbling assay for the quantification of protein biomarkers with a digital-readout method that requires only a smartphone camera. We used machine learning to develop a smartphone application for automated image analysis to facilitate accurate and robust counting. Using this method, post-prostatectomy surveillance of prostate specific antigen (PSA) can be achieved with a detection limit (LOD) of 2.1 fm (0.060 pg mL
科研通智能强力驱动
Strongly Powered by AbleSci AI