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Dc 200

Manufactured by Leica Microsystems
Sourced in Germany

The DC 200 is a digital camera designed for use with Leica microscopes. It features a high-resolution sensor and allows for the capture of detailed images of microscopic samples.

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5 protocols using dc 200

1

Adipocyte Morphometric Analysis

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Morphometric analysis was developed on full-thickness specimens, as previously described (8 (link), 22 (link)). Briefly, 10 μm thick sections (three consecutive slices/sample), stained with H&E, were recorded with a high-resolution digital camera (DC 200, Leica Microsystems). With a data processing software (Matlab R2019b, MathWorks Inc., Natick, MS, USA), the adipocytes were selected, and the images were converted to 8-bit binary images. The perimeter (i.e., the distance around the boundary of the selected region) and the area of the internal selected region were determined for each adipocyte. Hence, the equivalent diameter (i.e., the diameter of a circle with the same area as the region) was determined, and the equivalent volume was calculated. Considering the adipocytes morphometry, the adipocytes were then automatically approximated to ellipses prior to calculate major and minor axes and eccentricity (23 (link), 24 (link)). For each section, three different fields were analyzed.
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2

Histological Assessment of Inflamed Adipose Tissue

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Immediately after excision, IFP biopsies/samples were fixed in 10% formalin solution and paraffin embedded according to routine protocols. Thereafter, to verify the possible occurrence of an inflamed status, IFP score based on the presence of lymphocytic infiltration and vascularity was determined, as previously described (10 (link)). Briefly, 10 μm thick sections (three consecutive sections) were stained with hematoxylin-eosin (H&E). The presence of mononuclear cell infiltration was evaluated and graded as follows: grade 0 = no presence of lymphocytic infiltration; grade 1 = presence of perivascular mononuclear cell infiltration; grade 2 = both perivascular and interstitial mononuclear cell infiltration. Vascularity was also evaluated on H&E sections, counting the total number of vessels in three sequential sections for each case. The images were recorded with a high-resolution digital camera (DC 200, Leica Microsystems).
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3

Adipocyte and Septal Morphometry Analysis

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Septa and adipocytes morphometric analysis was performed in accordance with a previously described method (Macchi et al., 2016 (link), 2019 (link); Stocco, Porzionato, et al., 2021 (link)). Briefly, septa and adipocyte's boundary were manually identified on H&E‐stained sections (1.25× and 10× images were used, respectively); hence, conversion to 8‐bit binary images was performed and the parameters of interest including interlobular septa thickness, adipocytes' lobuli dimension, adipocytes area, major/minor axes, and eccentricity were measured.
A high‐resolution digital camera (DC 200, Leica Microsystems) was used for image recording and a specific Programming Language Software (Matlab R2012b, The MathWorks, Inc., USA) was adopted for the analyses. Analyses were performed on three sequential SFP and IFP sections/case; three different fields/section were analyzed.
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4

Quantifying Connective Tissue in Cartilage Biopsies

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Bright-field images of the AM-stained preparations were acquired by using a Leica DMR microscope (Leica Microsystems, Wetzlar, Germany) and a high resolution digital camera (DC 200, Leica Microsystems). At a primary magnification of ×20 one field per section, randomly chosen within the CB tissue, was selected and its image acquired in full colors (RGB, 24-bit), processed to correct shading, then filed TIFF (Figure 1A).
Since it showed the best contrast between the connective tissue and the CB parenchima, the red component of each acquired RGB image was selected for further processing (Figure 1B). Stromal structures and filaments can be easily segmented with conventional thresholding methods, and small remaining artifacts can be removed from the resulting binary image by applying a geometric filter to eliminate profiles within a specified range of area and/or shape (see Russ, 2011 ), leading to the generation of binary images (Figure 1C) of the connective component.
The amount of CB tissue it accounts for can be directly estimated from the corresponding binary image by evaluating the area fraction occupied by the binary pattern (Russ and Dehoff, 2000 ).
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5

TUNEL Assay for Corneal Epithelium Apoptosis

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In corneal epithelium apoptotic cells were detected using a commercially available fluorescence kit (ApopTag Plus Fluorescein in situ Apoptosis Detection Kit, Chemicon International, Temecula, CA, USA) based on the TUNEL method, which detects and labels the free 3′-OH end of DNA strand breaks in apoptotic nuclei. According to the manufacturer's protocol, sections were fixed in 1% PFA solution after washing with PBS. Digoxigenin-labeled nucleotides in reaction buffer and terminal deoxynucleotidyl transferase enzyme (TdT) were applied to the sections for one hour at 37°C to catalyze the template-independent addition of nucleotide triphosphates to the 3′-OH ends of double-stranded or single-stranded DNA. After termination of the reaction, fluorescent-labeled antidigoxigenin antibodies were applied to visualize the nucleotides added to DNA free ends. Sections were counterstained with DAPI and visualized using fluorescence microscopy [22 , 23 ]. Microscopic analysis was performed with a Leica DMLB microscope equipped with epifluorescence EL6000 system (Leica Microsystems, Solms, Germany). Images were captured with a CCD camera (DC 200, Leica Microsystems, Solms, Germany) and image analysis software Quantimet 520 (Leica Microsystems, Solms, Germany). The number of apoptotic nuclei that stained intensely green was expressed relative to total number of nuclei stained by DAPI.
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