Click or drag to upload a single PNG file
Based on Nuclear Envelope Morphology
This project is a platform for predicting cell aging cycle. This platform can generate the segmentation mask of the nuclear envelope edge according to the depth learning algorithm, and then calculate the cell eigenvalue from three dimensions. The evaluation indexes include degree of abnormity, degree of folding and degree of internal depression.
This project is jointly developed by the State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences and the Computer Network Information Center, Chinese Academy of Sciences.
The system currently supports test images in PNG format only. During the prediction process, the presence of overlapping nuclei or nuclei that are partially truncated at the image boundaries may adversely affect the accuracy of the results. To ensure optimal performance, please avoid such scenarios. Additionally, all input images must be square—that is, the width and height must be equal.