Efficient large scale image stitching for virtual microscopy

We describe a weighted least squares based global registration method for creating virtual slides. In microscopy a large number of fields of view is required to capture a complete slide. These fields of view are aligned in such a way that a globally consistent virtual slide is formed. The positioning accuracy of the presented algorithm is evaluated using a new method based on synthetic virtual slides. Using these synthetic virtual slides it is now possible to give a ground truth about the positioning accuracy of stitching algorithm for virtual microscopy. Our algorithm has been evaluated on these synthetic slides and it can be shown that on average, each image exhibits a mean deviation of 0.8 pixel with respect to the correct position. Additionally the presented algorithm has been evaluated on several real world examples.

[1]  Eduardo Romero,et al.  Strategies for efficient virtual microscopy in pathological samples using JPEG2000. , 2007, Micron.

[2]  Steven G. Johnson,et al.  The Design and Implementation of FFTW3 , 2005, Proceedings of the IEEE.

[3]  Changming Sun,et al.  Mosaicing of microscope images with global geometric and radiometric corrections , 2006, Journal of microscopy.

[4]  Gérard G. Medioni,et al.  A graph-based global registration for 2D mosaics , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[5]  Joel H. Saltz,et al.  The virtual microscope. , 2003, IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society.

[6]  Syed Z. Ali,et al.  Application of virtual microscopy in clinical cytopathology , 2001, Diagnostic cytopathology.

[7]  James Davis,et al.  Mosaics of scenes with moving objects , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

[8]  Andrew P. Bradley,et al.  Towards Optimal Image Stitching for Virtual Microscopy , 2005, Digital Image Computing: Techniques and Applications (DICTA'05).

[9]  Changming Sun,et al.  Mosaicing of Microscope Images , 2005, Digital Image Computing: Techniques and Applications (DICTA'05).