The application discloses a high-
throughput anti-
fibrosis drug screening method based on a
fluorescence-free image and application thereof, relates to the technical field of biological
medicine, and aims to obtain a rapid and simple method for large-scale
drug screening. In the application, DPC images of NIH / 3T3 cells are collected by a high-content instrument,
correlation analysis is performed on morphological parameters obtained by self-
analysis software and the expression amount of alpha-SMA
protein, 13 morphological parameters highly correlated with the expression amount of alpha-SMA
protein are screened out, and the 13 morphological parameters are combined with an
artificial intelligence method to be used for large-scale
drug screening. The method has the advantages of high
throughput, high accuracy, simple operation, and the like, can be used to determine whether a drug has an anti-
fibrosis effect, can improve detection efficiency, can be applied to prediction of whether a
traditional Chinese medicine monomer has an anti-
fibrosis effect, and proves the accuracy and effectiveness of the method as an anti-fibrosis drug
screening method, thereby providing important experimental basis and
technical support for future
drug development and treatment of fibrosis diseases.