环介导等温扩增
核酸
生物系统
数字聚合酶链反应
分形
荧光
分形分析
材料科学
化学
DNA
生物
光学
聚合酶链反应
物理
分形维数
生物化学
数学
基因
数学分析
作者
Hector E. Muñoz,Carson T. Riche,Janay Elise Kong,Mark van Zee,Omai B. Garner,Aydogan Özcan,Dino Di Carlo
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2020-01-06
卷期号:5 (2): 385-394
被引量:40
标识
DOI:10.1021/acssensors.9b01974
摘要
Nucleic acid amplification assays including loop-mediated isothermal amplification (LAMP) are routinely used in diagnosing diseases and monitoring water and food quality. The results of amplification in these assays are commonly measured with an analog fluorescence readout, which requires specialized optical equipment and can lack quantitative precision. Digital analysis of amplification in small fluid compartments based on exceeding a threshold fluorescence level can enhance the quantitative precision of nucleic acid assays (i.e., digital nucleic acid amplification assays), but still requires specialized optical systems for fluorescence readout and the inclusion of a fluorescent dye. Here, we report Fractal LAMP, an automated method to detect amplified DNA in subnanoliter scale droplets following LAMP in a label-free manner. Our computer vision algorithm achieves high accuracy detecting DNA amplification in droplets by identifying LAMP byproducts that form fractal structures observable in brightfield microscopy. The capabilities of Fractal LAMP are further realized by developing a Bayesian model to estimate DNA concentrations for unknown samples and a bootstrapping method to estimate the number of droplets required to achieve target limits of detection. This digital, label-free assay has the potential to lower reagent and reader cost for nucleic acid measurement while maintaining high quantitative accuracy over 3 orders of magnitude of concentration.
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