Computer‐assisted realignment of light micrograph images from consecutive section series of cat cerebral cortex

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Abstract
SUMMARY: Two computer‐ and image‐analysis‐based procedures for realignment of images of consecutive light micrographs of nerve tissue (cat motor cortex) have been developed. One procedure (CENT) was interactive, employing the subjective overall ‘best fit’ of two images to each other and the other (AUTOCENT) was based on an automatic comparison of two images (image thresholding and binary comparison). Images of light micrographs of several hundred consecutive sections were realigned using the interactive and the automatic methods. The interactive procedure was easy to use; realignment of an image took only a few minutes in the hands of an experienced operator and should be easy to implement on commercially available smaller computers like PCs and workstations, but the realignment was possibly disturbed by the operator's subjective expectancy of regular forms. The automatic procedure realigned 1–4 images per hour, might be implemented on smaller computers if the programming is made more efficient, was probably objective and restored the ‘true position of images’.