  Manual preparation of tissue slices for microscopy imaging can introduce
tissue tears and overlaps. Typically, further digital processing algorithms
such as registration and 3D reconstruction from tissue image stacks cannot
handle images with tissue tear/overlap artifacts, and so such images are
usually discarded. In this paper, we propose an imaging model and an algorithm
to digitally separate overlapping tissue data of mouse brain images into two
layers. We show the correctness of our model and the algorithm by comparing our
results with the ground truth.
