0.74 ng

This dataset was used to explore deep learning models ability to quantify analyte load of LFA. Commercially available COVID-19 Rapid test kits, which test for the presence of nucleocapsid(N) protein, were photographed with a smartphone after results were ready. During the testing a known amount of N protein was added to the extraction buffer tube after which the following steps were performed according to manufacturer's instructions. This dataset was used to train deep learning models to classify various levels of N protein.

本数据集旨在探究深度学习模型定量检测侧向流分析（Lateral Flow Assay，LFA）中分析物负载量的能力。市售的新型冠状病毒肺炎（COVID-19）快速检测试剂盒，用于检测核衣壳（N）蛋白的存在，在检测结果得出后被智能手机拍摄记录。实验过程中，研究人员向提取缓冲液管中加入定量的N蛋白，随后严格遵循试剂盒生产商的操作指南完成后续全部步骤。本数据集被用于训练深度学习模型，以实现对不同浓度水平N蛋白的分类任务。