Literature DB >> 32773433

Embedding Brain Tissue for Routine Histopathology: A Processing Step Worthy of Consideration in the Digital Pathology Era.

Bela G Nelson1, Ela Patel, Dane Arth, Peter T Nelson.   

Abstract

The importance of technical quality for histopathologic examination has only increased in recent years with the expanding use of digital pathology. The University of Kentucky Alzheimer's Disease Center (UK-ADC) Neuropathology Core has decades of experience with brain histopathology and has emphasized the importance of quantitative assessments of histopathologic hallmarks. Technical artifacts and nonuniform samples are challenging for high-throughput digital analyses after the slides have been scanned, so that methodological optimization may be helpful. We do not know of published literature that systematically reviews how different procedures at the various stages of tissue processing can impact the quality of the histopathologic preparations in human brain samples. We wanted to pass along our experience in the hope that it will help others to improve their results. Here we describe the UK-ADC method of embedding for neuropathologic evaluation and provide specific examples (with a comparison to another processing workflow) that help support the idea that the methods and tools used in the embedding process can alter the quality of the formalin-fixed paraffin-embedded histopathologic results. The process used at the UK-ADC has been successful for us, but results may vary in relation to each embedding machine and with other factors.

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Year:  2020        PMID: 32773433      PMCID: PMC8946198          DOI: 10.1097/PAI.0000000000000832

Source DB:  PubMed          Journal:  Appl Immunohistochem Mol Morphol        ISSN: 1533-4058


  8 in total

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3.  Rod-shaped microglia morphology is associated with aging in 2 human autopsy series.

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Journal:  Neurobiol Aging       Date:  2017-01-05       Impact factor: 4.673

4.  TDP-43 proteinopathy in aging: Associations with risk-associated gene variants and with brain parenchymal thyroid hormone levels.

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Journal:  Neurobiol Dis       Date:  2019-01-23       Impact factor: 5.996

5.  Diffuse Amyloid-β Plaques, Neurofibrillary Tangles, and the Impact of APOE in Elderly Persons' Brains Lacking Neuritic Amyloid Plaques.

Authors:  Erin L Abner; Janna H Neltner; Gregory A Jicha; Ela Patel; Sonya L Anderson; Donna M Wilcock; Linda J Van Eldik; Peter T Nelson
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

6.  Arteriolosclerosis that affects multiple brain regions is linked to hippocampal sclerosis of ageing.

Authors:  Janna H Neltner; Erin L Abner; Steven Baker; Frederick A Schmitt; Richard J Kryscio; Gregory A Jicha; Charles D Smith; Eleanor Hammack; Walter A Kukull; Willa D Brenowitz; Linda J Van Eldik; Peter T Nelson
Journal:  Brain       Date:  2013-11-21       Impact factor: 13.501

7.  Disease-related microglia heterogeneity in the hippocampus of Alzheimer's disease, dementia with Lewy bodies, and hippocampal sclerosis of aging.

Authors:  Adam D Bachstetter; Linda J Van Eldik; Frederick A Schmitt; Janna H Neltner; Eseosa T Ighodaro; Scott J Webster; Ela Patel; Erin L Abner; Richard J Kryscio; Peter T Nelson
Journal:  Acta Neuropathol Commun       Date:  2015-05-23       Impact factor: 7.801

8.  Interpretable classification of Alzheimer's disease pathologies with a convolutional neural network pipeline.

Authors:  Ziqi Tang; Kangway V Chuang; Charles DeCarli; Lee-Way Jin; Laurel Beckett; Michael J Keiser; Brittany N Dugger
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  8 in total

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