System and Method for Detection and Classification of Objects of Interest in Microscope Images by Supervised Machine Learning

摘要

Methods are provided for efficient training of convoluted neural networks using computer-assisted microscope image acquisition and pre-classification of training images for biological objects of interest. The methods combine use of an automated scanning platform, on-the-fly image analysis parallel to the scanning process, and a user interface for review of the pre-classification performed by the software.