Systems and methods for detecting cytopathic effect in cells

One or more non-transitory computer-readable media storing instructions that, when executed by one or more processors, cause the one or more processors to:

• pre-process a well image depicting a well containing cells and a medium, at least in part by partitioning the well image into a plurality of sub-images each corresponding to a different portion of the well;
• for each of some or all of the plurality of sub-images, determine, by analyzing the sub-image using a convolutional neural network, a respective score indicative of a likelihood that any cells in the portion of the well corresponding to the sub-image exhibit CPE;
• determine a CPE status of the cells contained in the well based on the respective scores for the plurality of sub-images;
• generate output data indicating the CPE status;
• and
• wherein, if the respective score indicative of the likelihood that any cells in the portion of the well corresponding to the sub-image exhibit CPE exceeds a specified threshold, the instructions cause the one or more processors to cease the analysis, and to determine the CPE status based on the respective score exceeding the specified threshold.

A system comprising:

• a visual inspection system including
• a stage configured to accept a well plate, and
• an imaging unit configured to generate images of wells within the well plate, wherein each image corresponds to a single well;
• and
• a computer system including
• one or more processors, and
• one or more memories storing instructions that, when executed by the one or more processors, cause the computer system to
• pre-process a well image, generated by the imaging unit and depicting a well containing cells and a medium, at least in part by partitioning the well image into a plurality of sub-images each corresponding to a different portion of the well,
• for each of some or all of the plurality of sub-images, determine, by analyzing the sub-image using a convolutional neural network, a respective score indicative of a likelihood that any cells in the portion of the well corresponding to the sub-image exhibit CPE,
• determine a CPE status of the cells contained in the well based on the respective scores for the plurality of sub-images,
• generate output data indicating the CPE status;
• and
• wherein, if the respective score indicative of the likelihood that any cells in the portion of the well corresponding to the sub-image exhibit CPE exceeds a specified threshold, the instructions cause the computer system to cease the analysis, and to determine the CPE status based on the respective score exceeding the specified threshold.