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Visiomorph

Manufactured by Visiopharm
Sourced in Denmark

Visiomorph is a software suite developed by Visiopharm for the analysis of digital pathology images. It provides advanced image analysis tools to support quantitative assessment of histological samples. The core function of Visiomorph is to enable researchers and clinicians to perform automated, objective, and reproducible measurements on digital pathology images.

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18 protocols using visiomorph

1

Measuring Spheroid Invasion Area

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After superimposing the confocal z-stacks, the area of the spheroids was measured using the software Visiomorph (Visiopharm, Hørsholm, Denmark). The spheroids were outlined at the spheroid boarder identifying the beginning of the invasion zone. The area of the invasive cells was also measured in Visiomorph using a classifier identifying the area of DiI staining representing only the invasive cells and not the spheroids. The invasion distance in the confocal images was not measurable because of the small field of view.
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2

Siramesine-Induced Lysosomal Dysfunction in Glioma Cells

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The glioma cell lines were incubated in 12 well glass bottom plates until approximately 80% confluence and exposed to siramesine (5–30 μM). After 1 h, Acridine orange (5 μg/ml, Invitrogen) was added to the cells and incubated for 15 min at 37 °C. Images were recorded using confocal microscopy (Nikon, Inverted Microscope, ECLIPSE TE2000-E). Analysis was made using the image analysis tool Visiomorph™ (Visiopharm, Hørsholm, Denmark). The results represent the proportion of red/green + yellow area, accounting for the loss of red staining and gain of green and yellow staining in the cells.
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3

Quantifying Viral Proteins in Tissues

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Image analysis was performed on whole slide images using Visiomorph (Visiopharm, Denmark). Hematoxylin and eosin (H&E)-stained sections were used to determine tissue areas (mm2), and section thicknesses (μm) were then used to calculate tissue volume (μL). Cells per μL of tissue were determined by dividing cell equivalents calculated from total DNA yield by the volume of each tissue slice analyzed by PCR. (At the highest viral concentrations in our set of 9 sections, viral DNA was <2% of total DNA, allowing total DNA to be used as an estimate of cellular DNA; calculation not shown.) JCV capsid concentrations were calculated by dividing moles of VP1 per sample by 360 (72 pentamers per virion × 5 VP1 molecules per pentamer) and by the tissue volume (in μL/mm3). Linear regression, significance, and graphic display were generated in Prism 5 (GraphPad Software, Inc., La Jolla, CA).
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4

Quantifying Myelinated Axons via VisioMorph

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The number of TB-stained myelinated axons was estimated at 60× magnification using the VisioMorph software (VisioPharm) applying a 200×200µm sampling grid and a 25×25µm counting frame. From the same specimens, ultra-thin sections (60–90 nm-thick) were cut for EM assessments (see below).
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5

Plasma Lipid and Aortic Plaque Analysis

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Terminal blood samples were collected from the sinus orbital vein in 1,000-μl K3-EDTA-coated tubes (Sarsted, North Rhine-Westphalia, Germany). Plasma was separated (at 4°C; 3,500 rpm; 10 min) and used for total cholesterol (T-chol) and triglyceride(s) (TG) analyses. Subsequently, the animals were perfused with 10 ml of ice-cold saline, and the thoracic aorta from the heart to the 8th rib was excised for measurement of plaque. The aorta was dissected longitudinally and placed on glass plates for en face analyses (Visiomorph, Visiopharm A/S, Hørsholm, Denmark). After en face analysis, the aorta section was snap-frozen in liquid nitrogen and kept at −80°C for gene expression analysis.
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6

Histological Assessment of Liver Tissue

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Remaining paraffin-embedded liver tissue was subsequently cut into 3 μm sections at Gubra (Hørsholm, Denmark). Sections were stained with hematoxylin-eosin (HE), picro-Sirius Red (PSR, Sigma-Aldrich, Brøndby, Denmark), anti-galectin-3 (cat. 125402, Biolegend, San Diego, California, USA), alpha-smooth muscle action (α-SMA, cat. ab124964, Abcam, Cambridge, UK), anti-type I collagen (COL1A1, cat. 1310–01, Southern Biotech, Birmingham, Alabama, USA), CD11b (cat. ab133357, Abcam, Cambridge, UK) or CD45 (cat. ab10558, Abcam, Cambridge, UK) using standard procedures. A digital imaging software (Visiomorph®, Visiopharm, Hørsholm, Denmark) was used for quantification of whole-section liver fat (HE-staining), fibrosis (PSR, COL1A1), inflammation (galectin-3, CD11b, CD45) and hepatic stellate cell activation (α-SMA). Histochemical positive staining areas were expressed relative to total tissue sectional area (fractional area, in percent).
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7

Quantification of Extracellular Matrix Markers

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Stained slides were digitally scanned using ScanScope (Aperio, Vista, CA). All markers were quantified in blinded sections in central airways (bronchial biopsies) and alveolar parenchyma (transbronchial biopsies). The immunoreactivity (% positively stained area) of versican, decorin, biglycan, fibronectin, EDA-fibronectin, MMP-9 and TIMP-3 as well as the tissue area in the walls of bronchi and in the alveolar septa was calculated using Visiomorph™ (Visiopharm, Hoersholm, Denmark). The percentage stained area was calculated dividing the stained area by the total selected area. The image analysis program calculated the tissue area of the whole biopsy, excluding air spaces so that only tissue (i.e. airway epithelium, lamina propria and smooth muscle layer, or the alveolar septa) was measured. Glands were excluded from the analysis by manual detection.
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8

Quantifying Fibroblasts and Myofibroblasts

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The density of fibroblasts and myofibroblasts was counted manually and calculated either as double positive for prolyl 4-hydroxylase (P4OH) and vimentin (fibroblasts) or triple positive for αSMA, P4OH and vimentin (myofibroblasts). The number of cells was related to tissue area (cells/mm2) using Visiomorph™ (Visiopharm). For details see Additional file 1.
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9

Quantitative Assessment of HBcAg in Mouse Liver

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Two sections separated by approximately 200 μm of formalin-fixed and paraffin-embedded mouse liver were deparaffinized and subjected to heat-induced antigen retrieval in Tris-EDTA glucose (TEG) buffer (pH 9). Following blockage of endogenous peroxidase activity, the sections were blocked in 10% normal serum and incubated with rabbit anti-HBcAg (Dako). The primary antibody was detected and amplified using Brightvision Poly-HRP detection system (Immunologic) and visualized with diaminobenzidine as chromogen. Finally, sections are counterstained in hematoxylin, coverslipped, and digitized using a 20× objective. Quantitative assessment of HBcAg immunoreactivity was estimated as total counts of positive cellular profiles per area of the liver sections. Profile counting is done by image analysis using Visiomorph (Visiopharm).
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10

Quantifying Xenograft Proliferation and Stem Cell Markers

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Xenografts were fixed in 4% paraformaldehyde, embedded in paraffin, and cut at a thickness of 4 μm. The sections were deparaffinized in xylene and incubated with the primary antibodies (Ki-67, 1:100 dilution, Abcam; ABCG2, 1:1,000 dilution, Abcam) overnight at 4°C. Three slides per groups were observed under a standard light microscope (BX53, Olympus). In each section, 10 areas were randomly selected and scored for the positive cells using an automated image analysis system (Visiomorph, Visiopharm Integrator System, Denmark).
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