Plasmon-Enhanced Ultrasensitive Digital Imaging Immunoassay for the Quantification of microRNAs Assisted by Convolutional Neural Network Analysis,Advanced Functional Materials

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Plasmon-Enhanced Ultrasensitive Digital Imaging Immunoassay for the Quantification of microRNAs Assisted by Convolutional Neural Network Analysis
Advanced Functional Materials ( IF 18.5 ) Pub Date : 2022-11-28 , DOI: 10.1002/adfm.202210561
Zhongwen Long _{1,

2} , Xinyu Shen ₃ , Xiaobo Zhang ₄ , Hui Zhang _{1,

2} , Qianwei Zhou _{1,

2} , Cheng Yang ₃ , Yuzhang Liang ₅ , Ting Xu _{1,

2}

Affiliation

Digital imaging immunoassays for precisely detecting microRNAs have attracted much attention in early cancer diagnosis. Currently, there is an urgent demand for improving the sensitivity and selectivity in digital immunoassays, which is limited by low imaging signal-to-noise ratio and pollutant interference. Herein, a plasmon-enhanced ultrasensitive and selective digital-readout imaging immunoassay is reported for microRNA quantification. Through DNA hybridization technology, Au nanoparticles are bound to target microRNAs and selectively placed onto an Au film coated slide, locally forming plasmonic nanocavities that dramatically enhance the scattering imaging signal of nanoparticles in dark-field microscopy. Additionally, a convolutional neural network algorithm not only automatically recognizes and counts the image spots of the nanoparticles, but also excludes the counting errors inevitably induced by environmental pollutants or other noises. Ultimately, a quantitative determination of the microRNA-375 cancer biomarker is demonstrated with a dynamic range that spans across 4 orders of magnitude (from 1 fm to 10 pm) with a low limit of detection (1.29 fm). This plasmon-enhanced digital imaging immunoassay is a promising analytical tool toward point-of-care testing for various disease biomarkers at very low concentrations.

中文翻译：

卷积神经网络分析辅助 microRNA 定量的等离子增强超灵敏数字成像免疫分析

用于精确检测 microRNA 的数字成像免疫分析在早期癌症诊断中引起了广泛关注。目前，数字免疫分析的灵敏度和选择性迫切需要提高，但受到低成像信噪比和污染物干扰的限制。在此，报道了一种用于 microRNA 定量的等离子增强超灵敏和选择性数字读出成像免疫测定。通过 DNA 杂交技术，Au 纳米粒子与靶向 microRNA 结合并选择性地放置在 Au 薄膜涂层载玻片上，局部形成等离子体纳米腔，显着增强暗场显微镜中纳米粒子的散射成像信号。此外，卷积神经网络算法不仅可以自动识别和计算纳米粒子的图像点，但也排除了环境污染物或其他噪音不可避免地引起的计数误差。最终，microRNA-375 癌症生物标志物的定量测定被证明具有跨越 4 个数量级的动态范围（从 1 fm至 10 p m ) 具有低检测限 (1.29 f m )。这种等离子增强数字成像免疫分析是一种很有前途的分析工具，可以在极低浓度下对各种疾病生物标志物进行即时检测。

更新日期：2022-11-28

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