Computer-assisted imaging algorithms facilitate histomorphometric quantification of kidney damage in rodent renal failure models

计算机辅助成像算法有助于对啮齿动物肾衰竭模型中的肾脏损伤进行组织形态学量化

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作者:Marcin Klapczynski, Gerard D Gagne, Sherry J Morgan, Kelly J Larson, Bruce E Leroy, Eric A Blomme, Bryan F Cox, Eugene W Shek

Conclusion

These algorithms represent useful tools for the uniform and reproducible characterization of common histomorphologic features of renal injury in rats.

Methods

Analysis was performed on digitized slides of whole kidney sagittal sections stained with either hematoxylin and eosin or immunohistochemistry with an anti-nestin antibody to identify glomeruli, regenerating tubular epithelium, and tubulointerstitial myofibroblasts. An anti-polymorphonuclear neutrophil (PMN) antibody was also used to investigate neutrophil tissue infiltration.

Results

Image analysis allowed for rapid and accurate quantification of relevant histopathologic changes such as increased cellularity and expansion of glomeruli, renal tubular dilatation, and degeneration, tissue inflammation, and mineral aggregation. The algorithms provided reliable and consistent results in both control and experimental groups and presented a quantifiable degree of damage associated with each model.

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