Effect of Fluorinert on the Histological Properties of Formalin-Fixed Human Brain Tissue
| Autor: | Janice L. Holton, Shauna Crampsie, Juan Eugenio Iglesias, Mohamed Tachrount, David L. Thomas, C Strand |
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| Jazyk: | angličtina |
| Předmět: |
Male
Pathology medicine.medical_specialty Tissue Fixation Histology Fluorinert Brain tissue 030218 nuclear medicine & medical imaging Pathology and Forensic Medicine 03 medical and health sciences Cellular and Molecular Neuroscience 0302 clinical medicine Formaldehyde Brain mri medicine Humans Aged Aged 80 and over Brain Chemistry Fluorocarbons Staining and Labeling business.industry Brain General Medicine Human brain Formalin fixed Middle Aged Ex vivo 3. Good health medicine.anatomical_structure Neurology Immunohistochemistry Female Brief Reports Neurology (clinical) business 030217 neurology & neurosurgery MRI |
| Zdroj: | Journal of Neuropathology and Experimental Neurology Journal of Neuropathology & Experimental Neurology |
| ISSN: | 1554-6578 0022-3069 |
| DOI: | 10.1093/jnen/nly098 |
| Popis: | Fluorinert (perfluorocarbon) represents an inexpensive option for minimizing susceptibility artifacts in ex vivo brain MRI scanning, and provides an alternative to Fomblin. However, its impact on fixed tissue and histological analysis has not been rigorously and quantitatively validated. In this study, we excised tissue blocks from 2 brain regions (frontal pole and cerebellum) of 5 formalin-fixed specimens (2 progressive supranuclear palsy cases, 3 controls). We excised 2 blocks per region per case (20 blocks in total), one of which was subsequently immersed in Fluorinert for a week and then returned to a container with formalin. The other block from each region was kept in formalin for use as control. The tissue blocks were then sectioned and histological analysis was performed on each, including routine stains and immunohistochemistry. Visual inspection of the stained histological sections by an experienced neuropathologist through the microscope did not reveal any discernible differences between any of the samples. Moreover, quantitative analysis based on automated image patch classification showed that the samples were almost indistinguishable for a state-of-the-art classifier based on a deep convolutional neural network. The results showed that Fluorinert has no effect on subsequent histological analysis of the tissue even after a long (1 week) period of immersion, which is sufficient for even the lengthiest scanning protocols. |
| Databáze: | OpenAIRE |
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