Rapid screening of red blood cells for active infection of COVID-19 is presented using a compact and field-portable, 3D-printed shearing digital holographic microscope. Video holograms of thin blood smears are recorded, individual red blood cells are segmented for feature extraction, then a bi-directional long short-term memory network is used to classify between healthy and COVID positive red blood cells based on their spatiotemporal behavior. Individuals are then classified based on the simple majority of their cells’ classifications. The proposed system may be beneficial for under-resourced healthcare systems. To the best of our knowledge, this is the first report of digital holographic microscopy for rapid screening of COVID-19.

中文翻译：

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红细胞的数字全息深度学习，用于现场便携式，快速COVID-19筛查

使用紧凑且可现场携带的3D打印剪切型数字全息显微镜，对红细胞主动感染COVID-19的快速筛选进行了介绍。记录薄血涂片的视频全息图，对单个红细胞进行分割以进行特征提取，然后使用双向长期短期记忆网络根据健康时空和COVID阳性红细胞的时空行为对其进行分类。然后根据其细胞分类的简单多数对个体进行分类。所提出的系统对于资源不足的医疗保健系统可能是有益的。据我们所知，这是用于快速筛选COVID-19的数字全息显微镜的首次报道。