1. A method, comprising: obtaining at least one non-birefringence image and at least one birefringence image of a stained sample; decomposing the at least one non-birefringence image into a plurality of component images, wherein each image of the plurality of component images corresponds substantially only to a single non-birefringence contributor; combining information derived from the at least one non-birefringence image and from the at least one birefringence image to form a combined image; and classifying regions of the stained sample into a plurality of classes based on the combined image.