(a)
(b)
(c)
Fig. 1. (a) A serial section. (b) The adjacent section after being stained. (c) The images after
registration.
(a)
(b)
(c)
Fig. 2. (a), (b) Cells before and after staining. (c) Registration of the images.
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Description
Semi-automatic multi-sensor image registration
customized for use with Arcturus Veritas
Microdissection software
Image Fusion Systems Research
The nonrigid multisensor image registration software  has been customized for use with the Veritas(tm)
Microdissection Instrument software from Arcturus Bioscience, Inc.  
www.arctur.com . The following two  
capabilities have been added:
  1. In addition to a reference and a target image, an alternate target image can be loaded and
    registered with the reference image . The target and the alternate target images are assumed to
    have the same geometry although they may have different intensities. After finding the
    transformation function that registers the reference and target images, the transformation is also
    applied to the alternate target image also to register  with the reference image.  This enables the
    capture of two images of the same sample under different lighting conditions while keeping the
    camera and the sample stationary. In molecular imaging, this functionality makes it possible to
    register images of cells before and after staining for various studies.
  2. In addition to providing the filenames interactively, this customized software can read filenames in
    a file generated by the Arcturus Veritas Microdissection software.

Examples of image registration by this software are given in Figs. 1 and 2 below. These images show two
consecutive sections of a tissue block with a thickness of less than a cell. One section is left unstained
and one section is stained. The staining process makes the cells easily visible, but the process damages
the cells. By registering the two images, it becomes possible to analyze the cells while viewing their
details. Some local misregistration may be observed in the registration of such images because adjacent
sections do not have exactly the same local geometry. The software will ignore very small local geometric
differences between images and nonrigidly align the images over larger local neighborhoods.

For information about the operations of this registration software please refer to its
User's Guide.