Literature DB >> 25772039

Comparative Tissue Stainability of Lawsonia inermis (Henna) and Eosin as Counterstains to Hematoxylin in Brain Tissues.

Judith N Alawa1, Gbenga O Gideon1, Bamidele Adetiba1, Clement B Alawa2.   

Abstract

We hyposthesized that henna staining could provide an alternative to eosin when used as a counterstain to hematoxylin for understanding basic neurohistological principles. Therefore, this study was aimed at investigating the suitability of henna as counterstain to hematoxylin for the demonstration of the layer stratification and cellular distribution in the brain tissue. Henna stained nervous tissue by reacting with the basic elements in proteins via its amino groups. It stained the neuropil and connective tissue membranes brown and effectively outlined the perikarya of neurons with no visible nuclei demonstrating that it is an acidic dye. Henna as a counterstain to hematoxylin demonstrated reliability as a new neurohistological stain. It facilitated identification of cortical layer stratification and cellular distribution in brain tissue sections from Wistar rats. This was comparable to standard hematoxylin and eosin staining as morphological and morphometrical analyses of stained cells did not show significant differences in size or number. This study presents a method for staining with henna and demonstrates that although henna and eosin belong to different dye groups (anthraquinone and xanthenes, respectively) based on their chromophores, they share similar staining techniques and thus could be used interchangeably in neurohistology.

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Keywords:  eosin

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Year:  2015        PMID: 25772039     DOI: 10.1017/S1431927615000100

Source DB:  PubMed          Journal:  Microsc Microanal        ISSN: 1431-9276            Impact factor:   4.127


  2 in total

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Authors:  Mohammadreza Ebrahimi; Abbas Parham
Journal:  Vet Med Sci       Date:  2020-04-23

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Authors:  Zhong-Lei Sun; Xian-Feng Jiang; Yuan-Chi Cheng; Ying-Fu Liu; Kai Yang; Shuang-Long Zhu; Xian-Bin Kong; Yue Tu; Ke-Feng Bian; Zhen-Lin Liu; Xu-Yi Chen
Journal:  Neural Regen Res       Date:  2018-04       Impact factor: 5.135

  2 in total

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