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Nanozoomer xr slide scanner

Manufactured by Hamamatsu Photonics
Sourced in Japan

The NanoZoomer XR slide scanner is a high-resolution digital imaging system designed for scanning and digitizing microscope slides. It captures images of slides at various magnification levels, enabling detailed examination and analysis of the sample content.

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8 protocols using nanozoomer xr slide scanner

1

Spinal Cord Histopathology Analysis

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Mice were deeply anesthetized and intracardially perfused with PBS (0.1 M) followed by 4% paraformaldehyde (pH=7.4). Thoracic and lumbar spinal cord (SC) sections were removed, post-fixed in 4% paraformaldehyde, and embedded in paraffin. Serial sections with 6 μm thickness were cut, followed by hematoxylin and eosin (H&E) and luxol fast blue (LFB) staining. All reagents were purchased from Sigma (Saint Louis, Missouri, USA). LFB images were captured on an Olympus BX51 multichannel light/epifluorescence microscope (Olympus, Tokyo, Japan). H&E images were captured on a NanoZoomer XR slide scanner (Hamamatsu Photonics, Japan) employing the NanoZoomer Digital Pathology scan software v3.0 (Hamamatsu Photonics, Japan). Density of infiltrating inflammatory cells was determined as the number of cell nuclei per 10.000 µm2. The extent of demyelination was evaluated by measuring the percentage of demyelinated area over the total white matter area for each SC section. Quantifications were performed using ImageJ software (NIH, USA).
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2

Quantifying Ki-67 Expression in Thymocytes

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After immunohistochemistry, the slides were digitalized using the NanoZoomer-XR slide scanner (Hamamatsu Photonics, Hamamatsu, Japan) and stored in the J-SHARE archive [30 (link)] in NDPI format. Each whole-slide image was divided into smaller tiles (regions of interest, ROI) that covered the entire image, and single images representing individual cases were captured independently at 40× magnification in JPEG format using NDP.view2 software (Hamamatsu Photonics). Ki-67 protein was analyzed in two steps. First, some captured ROI were evaluated visually by two researchers (T.S. and M.S.). Semiquantitative, 4-grade scoring was applied, ranging from negative (0) to strong (3+) immunoreactivity of the thymocytes. Second, the percentage of Ki-67+ thymocytes was determined by automated scoring with Tissue Studio version 3.6.1 software (Definiens, Munich, Germany). Therein, staining thresholds (hematoxylin, 0.07; DAB density, 0.164; medium/low, 0.29; high/medium, 0.45) and morphological filtering (elliptic shape, <0.3; exclusion area, <3; typical nuclear size, 16) were set so that thymocytes within the ROI were recognized in a manner similar to the first analysis. The weight of Ki-67+ cells in a thymus was calculated by multiplying the weight of the individual thymus by the percentage of Ki-67+ cells in a slide.
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3

Histological Analysis of Irradiated Femur

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The remaining thymus and femur were fixed in 10% neutral buffered formalin. Each femur was decalcified following fixation. These tissues were embedded in paraffin, cut in 1 μm sections, and stained with hematoxylin and eosin for histology. Histology slides were scanned using the NanoZoomer-XR slide scanner (Hamamatsu Photonics, Shizuoka, Japan), and the data were stored in a J-SHARE archive (Japan Storehouse of Animal Radiobiology Experiments), which is an animal-experiment archiving system constructed in our institute [22 (link)]. NanoZoomer data were analyzed using NDP.view2 Plus viewing software (Hamamatsu Photonics, Shizuoka, Japan). The cellularity in the femur was considered from the proportion of total nucleated cells and scored into five categories compared with the cellularity of normal femur as follows: score −4, 0–20% total nucleated cells; score −3, 20–40%; score −2, 40–60%; score −1, 60–80%; score 0, 80–100%. After irradiation, structural changes in the thymic cortex and medulla were also evaluated.
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4

Tumor Microenvironment Quantification

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Slides were scanned at 20× objective equivalent (0.49 microns/pixel) with Hamamatsu NanoZoomer XR slide scanner. Each image was annotated for regions of tumor, invasive front (400 micron area toward the center of the tumor and 400 micron area outside the tumor edge) and non-tumor regions by the study pathologist (RAA). Positive signals were reported as cell density per mm2 tissue area by digital analysis (Halo, Indicalab) [56 (link)].
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5

Quantitative Analysis of mGluR2 Labeling

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The mGluR2 labeled slides were first analyzed using a Nanozoomer-XR slide scanner (Hamamatsu Photonics, Bridgewater, NJ). The broad distribution of labeling was then compared relative to adjacent cytoarchitectonic sections to determine areal borders for analysis and the intensity of labeling graded for each region analyzed. Higher magnification images were acquired using an Olympus BX-51 microscope (Olympus, Center Valley, PA) with a Q-Retiga 2000R camera (QImaging, Surrey, BC). Cortical areal boundaries were determined from Nissl stained sections according to the classification of Franklin and Paxinos (2008). Figures were composed in CorelDraw (Corel Corporation, Ottawa, Ontario).
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6

Tissue Fixation and Histological Staining

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Samples for staining were fixed in 10% NBF for 24 h at room temperature before processing into paraffin wax, cryoblocks (7.5% Gelatin, 15% Sucrose) at À80 C or transfer to 70% ethanol for storage at 4 C. For histological analyses slides were dewaxed and stained with haematoxylin and eosin (H&E) using a Leica Autostainer XL and imaged on a Nikon Ni brightfield microscope and a Hamamatsu Nanozoomer XR slide scanner.
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7

Quantifying Microglia and Astrocyte Density

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Analysis was performed as described before. 29 Images were obtained with a NanoZoomer-XR slide scanner (Hamamatsu, Japan) equipped with a 20x objective and analysed with ImageJ software. Images were transformed to 8-bit images and a threshold was set to select specifically stained cells from background staining. The area fraction, i.e., the % area of the region of interest (ROI) that consists of positively stained cells (microglia/macrophages or astrocytes) (as set by the threshold), was calculated for the following ROIs: perilesional and contralesional cortex, ipsi-and contralesional hippocampus. A higher area fraction reflects a higher density of CD11b-positive microglia/macrophages or GFAP-positive astrocytes in this ROI. All ROIs were outlined manually in triplicate samples.
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8

Immunohistochemistry for TIGAR and Alpha-Synuclein

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Immunohistochemistry using a standard avidin-biotin complex (ABC) method was performed on 4m-thick, formalin-fixed, paraffin-embedded sections. Details of the antisera as well as antigen retrieval and immunohistochemistry conditions are detailed in supplementary table S1. TIGAR Immunostaining was performed with the IntelliPATH FLX Detection Kit and autostainer system (Menarini Diagnostics). For p53, slides were stained on the Dako Omnis Automated Slide Stainer using the Dako Envision Flex High pH (GV80011) kit. The whole slide images were captured using a Hamamatsu NanoZoomer XR slide scanner. Double labelling immunohistochemistry was attempted to investigate co localisation of TIGAR with alpha-synuclein. Two formats were attempted: 1) anti alphasynuclein antibody with Alexa Fluor 488 or 555 and TIGAR labelled with DAB or 2) both alpha-synuclein and TIGAR in fluorescence. Both formats involved incubation with Sudan Black to mask auto fluorescent material.
To further confirm immunostaining of TIGAR in Lewy bodies, adjacent sections were immunostained for TIGAR using the PA5-29152 (Thermo Scientific) antibody and alpha-synuclein and digitised. The resultant whole slide images aligned such that the same structures could be assessed in the adjacent sections.
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