Classification of cell nuclei

The present invention relates to a system that can be used to accurately classify objects in biological specimens. The user firstly classifies manually an initial set of images, which are used to train a classifier. The classifier then is run on a complete set of images, and outputs not merely the classification but the probability that each image is in a variety of classes. Images are then displayed, sorted not merely by the proposed class but also the likelihood that the image in fact belongs in a proposed alternative class. The user can then reclassify images as required.