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Ndp viewing software

Manufactured by Hamamatsu Photonics
Sourced in Japan

The NDP viewing software is a tool designed to display and analyze data from Hamamatsu Photonics' photomultiplier tubes and other optical sensors. The software provides a user-friendly interface for visualizing and processing the acquired data.

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3 protocols using ndp viewing software

1

Quantitative Microscopy Imaging of Murine Tissues

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Images were obtained from three sections per mouse for IHC and IF. For IHC, slides were scanned on the NanoZoomer 2.0-HT system (Hamamatsu Photonics). Images were further processed using NDP-viewing software (Hamamatsu) and Fiji software version 1.51 (National Institutes of Health). For IF images, six z-stacks per mouse were acquired on a Leica Stellaris confocal (5 or 8) with a 20x objective and 1,024 × 1,024 resolution. Quantification of confocal images were performed on a semi-automated platform using MATLAB and Imaris 9.7.1 software to create surfaces of each stain based on a threshold applied to all images and colocalize surfaces to evaluate the volume of CD206 cells within CD31+ vessels.
Quantification of confocal images for AQP4 depolarization from CD31+ vessels was performed on a semi-automated platform using MATLAB and Imaris 9.7.1 software (Bitplane) to create surfaces of each stain based on a threshold applied to all images, dilate CD31 surfaces to 2 µm, and analyses AQP4 volume outside the CD31-dilated surface.
For brain tracer-coverage measurements, six sections per mouse were used and manually thresholded to match the observed signals. All six images were quantified as area of signal/total area (DAPI coverage) and averaged to get one value per mouse.
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2

Quantitative Analysis of Amyloid Burden

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Images were obtained from an average of 3 sections per mouse for IHC and IF. For IHC stains, slides were scanned on the NanoZoomer 2.0-HT system (Hamamatsu Photonics) at 20x. Images were further processed using NDP viewing software (Hamamatsu Photonics) and Fiji software version 1.51 (National Institutes of Health). The sections were converted into 8-bit images followed by a selection of cerebral cortex and hippocampus using tissue landmarks. An appropriate threshold number (based on the preliminary analysis avoiding floor/ceiling effects) was applied consistently to highlight the majority of amyloid plaques ensuring no artifacts were incorporated in the quantification. Particles were analyzed and collated numbers were collected to calculate the mean amyloid burden between groups using GraphPad Prism software. For IF (Iba1 and GFAP) stains and slides were scanned on Leica Thunder imager 3D assay at 20x. Images were further processed using Fiji software as previously described.
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3

Phrenic Nerve Histological Evaluation

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Each portion of the phrenic nerve was fixed by immersion in 4% paraformaldehyde, embedded in paraffin, and sectioned in 4 µm slices. Axial sections of the phrenic nerve were then obtained. After hematoxylin-eosin staining, microscopic evaluation was conducted to assess the integrity of the distal portion of the phrenic nerve. This was compared to the proximal portion that had not been in contact with the electrode (Leica Microsystems, Switzerland; nanozoomer digital slide scanner and NDP viewing software, Hamamatsu photonics, Japan).
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