Abstract: A system includes an imager configured to acquire at least one image of a tissue, a memory configured to store processor executable instructions, and a processor operably coupled to the imager and the processor. Upon execution of the processor executable instructions, the processor is configured to train a convolutional neural network (CNN) using a plurality of training images, and implement the CNN to determine a probability of abnormality of at least one region of tissue in the at least one image.

Abstract: A method and system for registering an imaging system to a sample container include a sample container configured to support a biological tissue sample and an imaging system for generating optical images of the biological tissue sample. The sample container includes an imaging window having a top surface in contact with the biological tissue sample and a bottom surface. The imaging system includes a scanning area that receives a portion of the sample container and an imaging device disposed below the scanning area. The imaging device emits a focused sample light signal towards the imaging window and receives a reflected sample light signal from the imaging window. By scanning the focal point of the sample light signal and measuring the reflected sample light signal, the location of the top surface of the imaging window can be determined, thus registering the imaging device to the imaging window of the sample container.