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Ndp view2

Manufactured by Hamamatsu Photonics
Sourced in Japan, Germany, United States, France, United Kingdom

NDP.view2 software is a digital microscope imaging software developed by Hamamatsu Photonics. It provides basic image viewing and analysis functions for digital microscope data.

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285 protocols using ndp view2

1

Adipocyte Diameter and BAT Lipid Droplet Analysis

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Liver and adipose tissues (BAT and WAT) were fixed overnight in 4% paraformaldehyde and embedded in paraffin. Liver, WAT, and BAT paraffin sections (3 μm thick) were stained with hematoxylin and eosin (H&E). Images were digitally captured from scanned slides using NanoZoomer 2.0-RS and NDP.view2 software (Hamamatsu, Japan). To determine the adipocyte diameter, 5 fields/slide (×200 magnification) were analyzed for each mouse using NDP.view2 software (Hamamatsu, Japan). For ratio of BAT lipid droplets quantification, we specifically developed an image-processing macro with the Image-J® software (https://imageJ.nih.gov, accessed on 22 October 2021), using set threshold with defined values to limit measure to region of interest area measurement (lipid droplet or HE cytoplasmic staining). 4 fields/slide were analyzed for 3 mice per group.
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2

Semiquantitative Image Analysis of Tumor Tissues

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Scanned slides were divided into sections using ndp.view 2.3.14 software (Hamamatsu) and subsequently semiquantified using imagej software as described previously (OpenWetWare, 2012). For each marker, semiquantified slides were normalized to manually counted areas of at least 1 mm2. At least 6 mm2 or 100% of the viable tumor tissues were analyzed.
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3

Quantifying Metastatic Tumor Load

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The NDP.view 2.3.14 software (Hamamatsu) annotation tool was used to markup full section and tumor area in lung and liver respectively. Metastatic load was calculated as tumor area / tissue area × 100%. Lesions/mm2 was calculated as number of metastases / tissue area.
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4

Colonic Mucus Layer Measurement

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The thickness of mucus layer was measured in medium and distal colonic tissue sections using the ruler tool of the NDP view + 2.50.19 software (Hamamatsu) in both PAS- and PAS-AB–stained sections. Twenty different measures were performed in two different tissue sections per stain in the proximal, medium, and distal colon of each mouse. Mucus layer thickness has been evaluated in all the samples that presented fecal pellets.
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5

Measuring Colonic Mucus Layer

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The thickness of mucus layer was measured in medium and distal colonic tissue sections using the ruler tool of the NDP view + 2.50.19 software (Hamamatsu) in both PAS and PAS-AB stained sections. 20 different measures were performed in two different tissue sections per stain in both medium and distal colon. Mucus layer thickness has been evaluated in all the samples that presented faecal pellets.
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6

Measuring Colonic Mucus Layer Thickness

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The thickness of mucus layer was measured in medium and distal colonic tissue sections using the ruler tool of the NDP view + 2.50.19 software (Hamamatsu) in both PAS and PAS-AB stained sections. 20 different measures were performed in two different tissue sections per stain in both medium and distal colon. Mucus layer thickness has been evaluated in all the samples that presented faecal pellets.
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7

Tenocyte Nuclear Morphometry in Supraspinatus Tendons

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The HE stained sections were digitalized with a slide scanner (Hamamatsu Photonics Europe GmbH Herrsching, Germany) and viewed with the NDP.view 2.7.52 software (Hamamatsu Photonics). The analysis was performed with ImageJ 1.52p software (Wayne Rasband, National Institute of Health, Bethesda, MD, USA). Two representative fields of 40× magnification from the first third (initiating with the enthesis) of each supraspinatus tendon were chosen. To contrast the surrounding tissue, the tenocyte nuclei were selected manually with the freehand tool. The following parameters were analyzed: number, area, perimeter, circularity, minor and major dimension of the nuclei.
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8

Histochemical Analysis of Meat Samples

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Histochemical analysis of the meat samples was performed to assess the amount of non-intact cells (ANIC) according to the procedure described in §64 LFGB method L 06.00-13 [27] . Cryo-cuts of 5 µm thickness were dyed using picroindigo carmine (CALLEJA) coloring agent and transferred into high-resolution images (Labor Kneissler, Burglengenfeld, Germany). Histometric analyses were done for 6 images per sample by point-counting non-intact cells of the cross-section scans with software (NDP.view 2.7.52, Hamamatsu Photonics K.K., Shizuoka, Japan).
The upper and lower limit of ANIC is calculated for two images using the following Eq. 1 [27] :
With pu = lower limit, po = upper limit, p = x n , q = n-x n , n = number of non-intact cells counted, x = number of total cells counted. The mean and the standard deviation of the 3 determinations are calculated.
The linear correlation of the ANIC and the amount of added meat batter can be described with Eq. 2 as
With ANIC 0 being the y-aches intercept, k being a slope factor and x meat batter being the amount of added meat batter.
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9

Quantitative Analysis of Amyloid and Lipid Metabolism

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Once mounted, slides were scanned with a digital scanner NanoZoomer (HAMAMATSU, Réf: 2.0-RS: C10730-13) to obtain high resolution virtual slides. Digitalized slides were analyzed with NDP View 2.0 software (HAMAMATSU). Morphometric investigation was carried out by two observers (M. B. Delisle & J. Ceccom) to determine the numerical density of amyloid deposits and of neurons expressing SphK1 or SPL at two levels: negative or mild (+) and strong (++) among the different cortical layers. Columns constituted of contiguous microscopic fields, from the pial surface to the white matter were drawn on each slide. As the fields were examined at a magnification of x400, each field was 300 μM × 150 μM in size. As the thickness of the cortex appeared to be variable between the different sections, after the counting step, the columns were standardized to 10 fields [43 (link)]. Field 1 corresponded to the cortex immediately under the pial surface and field 10 reached the white matter (Additional file 1). In each field, the number of profiles of Aβ deposits, of neurons and of neurons expressing low level (+) and high level (++) of SphK1 and of SPL was counted and reported on a database. For Aβ deposits, focal and diffuse plaques were recorded separately according to published discriminating features [1 (link)].
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10

Ultrastructural Analysis of Rat Bladder

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Within 30 min after the last session of electrical stimulation, the rats were sacrificed, and bladders were immediately dissected. The specimen of the anterior bladder wall near the bladder base at the level of the trigone was obtained (8- to 10-mm width, 3- to 5-mm height), and the vesical fascia was preserved to minimize the damage on the integrity of the wall. Bladder tissues of 1 mm3 were immersed in 3% cacodylate buffered glutaraldehyde (0.1 M, pH 7.2) for transmission electron microscopy (TEM). Other specimens were fixed in 10% formaldehyde solution, dehydrated in alcohol, diaphanized in xylene, and embedded in paraffin. In order to get a comparable histological morphology and minimize the error and bias, the tissues' direction was adjusted to the same. Subsequently, 3-μm tissue sections were cut from these paraffin blocks. All of the bladder specimens were stained using H&E staining and Masson's trichrome. Images were captured using a NanoZoomer-S360 digital slide scanner (Hamamatsu, Hamamatsu City, Japan) with a 40× lens, and the quality of the images was manually checked before application of the digital algorithm. Morphometric analyses were performed using NDP.view 2.0 software (Hamamatsu, Hamamatsu City, Japan) and ImageJ software (National Institutes of Health, Bethesda, Maryland) by 2 authors (TC and BX).
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