2006
DOI: 10.1016/j.neurobiolaging.2005.08.023
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BioVision: An application for the automated image analysis of histological sections

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Cited by 29 publications
(25 citation statements)
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“…Immunostained coronal tissue sections, serially cut within the hippocampus beginning from interaural (1.68 mm)/bregma (Ϫ2.12 mm) to interaural (2.16 mm)/ bregma (Ϫ1.64 mm), were analyzed. A␤-positive plaques were quantified from high resolution images of the same brain areas within the anti-Trx(A␤15) 4 -treated hemisphere and the contralateral mock-treated hemisphere using BioVision (50) and Neurolucida software programs (MicroBrightField, Williston, VT). BioVision differentiates and counts plaques from the background neuropil, whereas Neurolucida extracts the data from the BioVision images, exporting it to Excel (Microsoft, Redmond, WA) for statistical analysis.…”
Section: Methodsmentioning
confidence: 99%
“…Immunostained coronal tissue sections, serially cut within the hippocampus beginning from interaural (1.68 mm)/bregma (Ϫ2.12 mm) to interaural (2.16 mm)/ bregma (Ϫ1.64 mm), were analyzed. A␤-positive plaques were quantified from high resolution images of the same brain areas within the anti-Trx(A␤15) 4 -treated hemisphere and the contralateral mock-treated hemisphere using BioVision (50) and Neurolucida software programs (MicroBrightField, Williston, VT). BioVision differentiates and counts plaques from the background neuropil, whereas Neurolucida extracts the data from the BioVision images, exporting it to Excel (Microsoft, Redmond, WA) for statistical analysis.…”
Section: Methodsmentioning
confidence: 99%
“…The automated detection of amyloid plaques on large dataset of histological sections remains mainly manual or semiautomatic and based on basic image processing methods using histogram or color image analysis [2]. More recently, an approach using statistical model based on prior operator expertise has been proposed [3]. Nevertheless, most of these approaches remain tedious and time consuming.…”
Section: Introductionmentioning
confidence: 99%
“…We have utilised normalisation by tissue area using pixel counting algorithms as this can be utilised for both sampling approaches. The tissue area calculation by pixel counting algorithm is widely used in a variety of scientific fields [42,43]. The process of data normalisation utilised within this study has been described elsewhere [44].…”
Section: Methodsmentioning
confidence: 99%