Journal of Pathology Informatics Journal of Pathology Informatics
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Year : 2015  |  Volume : 6  |  Issue : 1  |  Page : 6

Histopathology in 3D: From three-dimensional reconstruction to multi-stain and multi-modal analysis

1 School of Computing, University of Leeds; HeteroGenius Limited, Leeds, United Kingdom
2 University College London, Camden, United Kingdom
3 Mathematical Cell Physiology Facility, Max-Delbrück Center for Molecular Medicine, Berlin, Germany
4 Leeds Institute of Molecular Medicine, Leeds, United Kingdom
5 School of Mechanical Engineering, University of Leeds, Leeds, United Kingdom
6 School of Computing, University of Leeds, Leeds, United Kingdom
7 Leeds Institute of Molecular Medicine; Leeds Teaching Hospitals, NHS Trust, Leeds, United Kingdom

Correspondence Address:
Dr. Derek Magee
School of Computing, University of Leeds; HeteroGenius Limited, Leeds
United Kingdom
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/2153-3539.151890

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Light microscopy applied to the domain of histopathology has traditionally been a two-dimensional imaging modality. Several authors, including the authors of this work, have extended the use of digital microscopy to three dimensions by stacking digital images of serial sections using image-based registration. In this paper, we give an overview of our approach, and of extensions to the approach to register multi-modal data sets such as sets of interleaved histopathology sections with different stains, and sets of histopathology images to radiology volumes with very different appearance. Our approach involves transforming dissimilar images into a multi-channel representation derived from co-occurrence statistics between roughly aligned images.

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