DEEP LEARNING-BASED QUICK AND PRECISE HIGH-THROUGHPUT DRUG SCREENING SYSTEM

摘要

A deep learning-based quick and precise high-throughput drug screening system, comprising a picture preprocessing module and a neural network module. The picture preprocessing module comprises a channel merging module and a picture standardization module. The channel merging module merges different cell single-color channel pictures into a multi-channel picture representation, and the tensor of the picture obtained after the merging is represented as [H,W,C]; the picture standardization module standardizes input multi-channel picture data into the tensor representation of [70,70,C]; the neural network module functions subsequent to the picture standardization module, the input data of the neural network module is the tensor of the standardized picture, and final predictive classification determination is implemented by the trained neural network. The established deep learning-based drug screening system DeepScreen has the advantages of high throughput, precision, high efficiency, high speed, convenience, low costs and interference resistance, and has a practical application prospect worth concerning.