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Qwin 500

Manufactured by Leica
Sourced in United Kingdom, Germany, Japan

The Qwin 500 is a digital image analysis system designed for microscopy applications. It provides advanced image processing and measurement capabilities for a wide range of laboratory and research tasks. The core function of the Qwin 500 is to capture, analyze, and quantify images from various microscopy techniques.

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63 protocols using qwin 500

1

Ghrelin Expression Evaluation in Stomach

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Nine slides from the resected stomach of each patient were taken as the following: 3 slides from fundus, 3 slides from body and 3 slides from antrum. Ten microscopic fields were randomly chosen from each slide for counting the ghrelin positive cells. Morphometric results were evaluated using Leica Qwin 500 image analysis computer system (Leica Microsystems Ltd, Cambridge, UK) at the magnification of 20×.
The computer connected to the microscope and the images were controlled by Leica Qwin 500 image analysis software. The software is tracking the stained cells (immunoreactive cells); the mean value of ghrelin expression of each region of each group was calculated.
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2

Caspase-3 Area Percent Measurement in Rat Retina

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The area percent of Caspase-3 was measured using a CX31 light microscope (Olympus, tpkyo, Japan) connected with Leica Qwin 500 image analyzer computer system (Leica, UK). Serial sections were obtained from the retina of each rat. 5 randomly selected sections from 5 rats/group were used. From each section, 5 different fields were selected and measured at 400x magnification. 31 (link)
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3

Histomorphometric Analysis of Rat Tissues

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The image analyzer computer system Leica Qwin 500 (Leica Imaging System, Ltd., Cambridge, England) was used to evaluate the percentage of each parameter. The data were analyzed by Leica Qwin 500 software with the aid of a digital camera connected to an optical microscope (Olympus, Tokyo, Japan) in the Pathology Department, Faculty of Dentistry, Cairo University, Cairo, Egypt. Ten non-overlapping fields were randomly chosen from each rat in each group and the means of the measurements of the parameter in each section were recorded for each animal. Examined measures included.

Area percentage (%) of collagen fibers in Mallory trichrome-stained sections.

Area percentage (%) of positive immunoreaction for caspase 3 and iNOS immunoperoxidase stained sections.

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4

Quantifying Cerebellar Purkinje Cells

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The following parameters were measured: Number of Purkinje cells in H&E‐stained sections, number of PCNA immunoreactive cells and area percentage of GFAP immunoreactivity. Measurement was done using “Leica Qwin 500” software image analyzer computer system (Leica image system Ltd) at the Pathology Department, Faculty of Dental Medicine, Cairo University. Ten non‐overlapping fields were randomly chosen for each section at ×400 magnification.
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5

Quantifying Newly-Formed Bone Volume

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The area percent (%) of the newly-formed bone was estimated by means of a Leica Qwin 500 analyzer computer system, (Leica Microsystems, Switzerland). The cursor was used to outline the areas of newly-formed bone trabeculae, where these areas became masked by a binary blue color measurable by the computer. The image analyzer was calibrated to automatically convert the measurement units (pixels) produced by the image analyzer program into actual micrometer units (Fig. 2). In both groups, the area % of newly-formed bone was estimated in ten different fields in five successive regions of the defect, where region 3 represents the center of the defect (Wong and Rabie, 2010 (link), Wong and Rabie, 2003 (link), Wong and Rabie, 1999 (link)), using a magnification of 200×.

The image displayed on the monitor of the image analyzer computer system (Leica Qwin 500). The area of bone trabeculae is masked by blue binary color to be measured by the computer system.

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6

Histological Assessment of Aortic Calcification

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About 3–4 mm of fixed aorta rings and kidney tissues from 8 rats in each group were embedded in paraffin blocks, cut into 4–6 μm sections, dewaxed with xylene and hydrated by passing a series of graded ethanol concentrations. Then, sections were stained with hematoxylin and eosin (H&E) staining for microscopic examination by Leica microscope (CH9435 Hee56rbrugg; Leica Microsystems, Switzerland). For detection of VSMC calcification, aorta sections were placed with 2.5% silver solution in bright sunlight after deparaffinization and hydration. Afterwards, sections were rinsed in distilled water. Counterstain was applied via Nuclear-fast Red for 5 min. Lastly sections were washed, dehydrated, cleared, and covered to be examined under light Leica microscope (CH9435 Hee56rbrugg; Leica Microsystems, Switzerland). Histopathological scoring for aortic wall thickness was also evaluated via Leica QWin 500 image analyzer computer system (England). Records were statistically described in terms of mean ± SEM.
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7

Morphometric Analysis of Pediatric Tumors

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All the consecutive malignant pediatric tumors received in Pathology Department from other faculties of King George's Medical University and also those referred directly to Pathology Department from other hospitals of city/other cities during 3 years period were recorded. Out of a total of 83 cases, 22 cases were selected to perform morphometric analysis. These 22 cases of SRCT elude identification on light microscopy (H and E stained sections) alone. Histologically, tissue sections showed relatively undifferentiated cells which were predominantly small round to oval. These archived cases were already worked up cases with application of special stains (cytochemistry), immunohistochemistry and molecular techniques as per the individual case diagnostic requirement. Morphometric analysis was done on representative areas of H and E sections with Leica Q Win 500 image analysis software (Leica GMBH, West Germany). For a single case, images were captured from a minimum of six different areas. Nuclei were tagged blue and with Acquisition and Analysis software; parameters such as nuclear area, nuclear diameter, nuclear perimeter, area fraction, area fill count, percent area etc., were calculated. Final results were obtained from the mean of percent areas of different images for a particular case and results were compared and analysed.
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8

Quantitative Assessment of Colonic TCs

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Quantitative assessment of CD34- and vimentin-positive TCs was performed on colonic sections immunologically stained with anti-CD34 and antivimentin antibodies using a CX31 light microscope (Olympus, Japan) connected with Leica Qwin 500 image analyzer computer system (Leica, England). Serial sections were obtained from the colon of each rat (6 rats|group), and 5 slides were selected from each rat (one|ten serial sections). Sections were examined at 400X. The examined fields included the mucosa, submucosa, circular muscle layer, myenteric plexus, and longitudinal muscle layer. Counting was conducted manually, including only all the cells with definite nuclei. The area percentage of collagen fibers was measured using five slides for each rat at 250X.
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9

Quantifying Inflammatory Markers via Microscopy

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The image analyser computer system Leica QWin 500 (Leica Ltd, Cambridge, UK) was utilized for analysis of data. Olympus optical microscope (Tokyo, Japan) linked to a camera is connected to the software. The number of brown positive cells was evaluated in immune-stained sections of anti-p38 MAPK, anti HSP70 and anti-NF-κB. Inflammatory cell infiltrations in H&E stained sections were also counted. Using the interactive measure menu, all measurements were conducted at a 400 × magnification in frame area of 7286.78 µm2. From each animal in each group, the examiner chose randomly and analysed non-overlapping 10 fields. The analyses were done by an examiner who is blinded to the study.
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10

Histological Analysis of Cardiac and Aortic Tissues

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Left ventricular and thoracic aortic tissues were xed in 10% formaldehyde, then dehydrated with alcohol series and embedded in para n wax by routine protocols. 5μm thin sections were prepared and stained with Haematoxylin and Eosin (H&E) stain, and Masson's Trichome (MT) stain (to assess connective tissue deposition). For the aortic tissues, the thickness of the tunica media (TM) was evaluated at a magni cation of x400 using a digital image analysis system (Leica Qwin 500; Leica, Cambridge, UK).
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