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Fluoview fv10 asw 1.7c software

Manufactured by Olympus
Sourced in United States

The FluoView FV10-ASW 1.7c software is a core component of the FluoView confocal microscope system from Olympus. It provides the essential functionalities to operate and control the confocal microscope hardware. The software enables users to capture, process, and analyze fluorescence imaging data.

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2 protocols using fluoview fv10 asw 1.7c software

1

Glial Cell Identification in Brain Tissue

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To determine whether the BrdU + cells were glial cells, sections from n = 3 animals/group were triple stained and analyzed for co-localization of BrdU with either Iba1 or GFAP. Two slices in the series were selected, and the entire DG was imaged using an Olympus BX61WI confocal laser scanning microscope and Olympus FluoView FV10-ASW 1.7c software (Olympus Corporation, Center Valley, PA, USA) with a 20X objective at 1.5X zoom (NA = 0.75, 1024 × 1024, 0.41 µm/pixel), 1.0 µm z steps and Kalman filtering (mean = 2). Because of the low number of BrdU + cells in sham animals, all BrdU + cells were identified in each stack, then characterized as BrdU + /Iba1-/GFAP-, BrdU + /Iba1 + /GFAP- or BrdU+/Iba1−/GFAP+. Data are presented as % Cell Type of Total BrdU + cells ± SEM.
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2

Interneuron-Principal Cell Ratio in Hippocampus

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To determine if the ratio of interneurons to principal cells was changing in a given hippocampal region, we divide the density of PV neurons (in the pyramidal layer of the CA1 or the granule layer of the DG) by the density of Cresyl Violet stained cells in the same region. We did this for a total sample area of 6000 μm2 in each cell layer. The resulting number is reported as a “inhibitory cell ratio”. We further subdivided the hippocampus into dorsal (bregma −1.88 to −4.16) and ventral (bregma −4.52 to −6.04) subregions to help determine if there were regional differences in PV cell density using this inhibitory cell ratio. All statistics using the general linear model were done using IBM SPSS statistics software and estimation statistics and figures were made using R (Stull, 1994 ; R Computing, 2018 ). A 95% confidence interval was used as the statistical threshold in this study, and all post-hoc tests were performed using a Tukey test.
Representative fluorescent images were taken using and Olympus BX61WI confocal laser scanning microscope and Olympus FluoView FV10-ASW 1.7c software (Olympus Corporation, Center Valley, PA, USA).
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