title: 3D reconstruction of multiple stained histology images.
abstract: BACKGROUND
  Three dimensional (3D) tissue reconstructions from the histology images with different stains allows the spatial alignment of structural and functional elements highlighted by different stains for quantitative study of many physiological and pathological phenomena. This has significant potential to improve the understanding of the growth patterns and the spatial arrangement of diseased cells, and enhance the study of biomechanical behavior of the tissue structures towards better treatments (e.g. tissue-engineering applications).
  
  
  METHODS
  This paper evaluates three strategies for 3D reconstruction from sets of two dimensional (2D) histological sections with different stains, by combining methods of 2D multi-stain registration and 3D volumetric reconstruction from same stain sections.
  
  
  METHODS
  The different strategies have been evaluated on two liver specimens (80 sections in total) stained with Hematoxylin and Eosin (H and E), Sirius Red, and Cytokeratin (CK) 7.
  
  
  CONCLUSIONS
  A strategy of using multi-stain registration to align images of a second stain to a volume reconstructed by same-stain registration results in the lowest overall error, although an interlaced image registration approach may be more robust to poor section quality.
authors.affiliation: School of Computing, University of Leeds, Leeds, UK.
authors.forename: Yi
authors.initials: Y
authors.lastname: Song
authors.forename: Darren
authors.initials: D
authors.lastname: Treanor
authors.forename: Andrew J
authors.initials: AJ
authors.lastname: Bulpitt
authors.forename: Derek R
authors.initials: DR
authors.lastname: Magee
keywords: 3D reconstruction; computerized diagnosis; digital pathology; histological image; image analysis; multi-stain registration