This network proves the possibility of combining neural network and lensless computational microscopy in the field of cell classification, and greatly reduces the application cost of neural networks in cell classification. The cell data in this article only provides simple morphological information. We believe that, with the further improvement of the microscopy technology used, the improvement of data resolution can also bring a qualitative change to the classification accuracy of the network.