An imaging processing component of an image processing system, the imaging processing component comprising: an input interface to receive at least two sets of image objects, wherein at least one set includes a single image object or a plurality of image objects, said sets of image objects relate to respective image objects in or from two different images derived from imagery of biological material; an image feature deriver configured to derive image features of or in relation to the image objects; a global transformation builder configured to compute, based on said features, an initial global registration transformation for the at least two sets of image objects; a cross-linker configured to establish, based on said initial global registration transformation and its inverse, at least one cross-link between image objects from the at least two sets of image objects; wherein the image object is a region or set of image points of an image; wherein the image object is derived from a segmentation operation, through manual specification or from feature clustering techniques; and wherein a cross-link relates to a cluster of objects that can be linked or associated by either the initial global transformation or by its inverse, wherein the initial global transformation and its inverse are considered as transformations on objects rather than image points; and wherein a cross-link lumps together all those objects across the two images that can be reached by a mapping action of the initial global registration transformation or its inverse; and wherein the at least one cross-link is based on mapping action points, which are center locations in an image or other geometric loci in an image, in one of the at least two sets of image objects onto another of the at least two sets of image objects using the initial global registration transformation and then mapping action points in the another of the at least two sets of image objects onto the one of the at least two sets of image objects using the inverse of the initial global registration transformation. an input interface to receive at least two sets of image objects, wherein at least one set includes a single image object or a plurality of image objects, said sets of image objects relate to respective image objects in or from two different images derived from imagery of biological material; an image feature deriver configured to derive image features of or in relation to the image objects; a global transformation builder configured to compute, based on said features, an initial global registration transformation for the at least two sets of image objects; a cross-linker configured to establish, based on said initial global registration transformation and its inverse, at least one cross-link between image objects from the at least two sets of image objects; wherein the image object is a region or set of image points of an image; wherein the image object is derived from a segmentation operation, through manual specification or from feature clustering techniques; and wherein a cross-link relates to a cluster of objects that can be linked or associated by either the initial global transformation or by its inverse, wherein the initial global transformation and its inverse are considered as transformations on objects rather than image points; and wherein a cross-link lumps together all those objects across the two images that can be reached by a mapping action of the initial global registration transformation or its inverse; and wherein the at least one cross-link is based on mapping action points, which are center locations in an image or other geometric loci in an image, in one of the at least two sets of image objects onto another of the at least two sets of image objects using the initial global registration transformation and then mapping action points in the another of the at least two sets of image objects onto the one of the at least two sets of image objects using the inverse of the initial global registration transformation.