Literature DB >> 22072426

Quantitative multispectral imaging of Herovici's polychrome for the assessment of collagen content and tissue remodelling.

Neill J Turner1, Michael A Pezzone, Bryan N Brown, Stephen F Badylak.   

Abstract

Bioprosthetic devices, constructed from a variety of materials, are routinely implanted in a variety of anatomical locations. Essential to their success is the formation of a non-destructive interface with the host tissue and appropriate tissue remodelling. Traditionally, the main method of assessing the host-material interface has been qualitative histological evaluation, using pattern recognition and comparative assessment to identify changes in the normal tissue architecture that are characteristic of scar tissue. In the present study, the recently developed technique of multispectral imaging was used to revisit a little-described histological stain, Herovici's polychrome, which is capable of distinguishing between types I and III collagen. Combined, these techniques allowed quantification of collagen content and distribution of collagen types within a tissue sample. Samples of rat tail and human scar tissue were used to optimize the staining, while comparison with immunolabelled samples was used to develop a reproducible quantification system, based on the specific colour profiles for types I and III collagen. Finally the remodelling of rat abdominal wall defects repaired with crosslinked or non-crosslinked extracellular matrix scaffolds derived from porcine urinary bladder was assessed with this technique. Compared to standard histological assessment, the combination of multispectral imaging and Herovici's polychrome staining presents a quick, simple, reliable technique that can provide accurate quantification of tissue remodelling and specifically identify the expression and distribution of types I and III collagen.
Copyright © 2011 John Wiley & Sons, Ltd.

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Year:  2011        PMID: 22072426     DOI: 10.1002/term.508

Source DB:  PubMed          Journal:  J Tissue Eng Regen Med        ISSN: 1932-6254            Impact factor:   3.963


  19 in total

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