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Leica aperio cs2

Manufactured by Leica Biosystems
Sourced in United States, Germany

The Leica Aperio CS2 is a high-performance digital slide scanner designed for tissue imaging and analysis. It captures high-resolution digital images of microscope slides, enabling efficient digital pathology workflows.

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6 protocols using leica aperio cs2

1

Hematoxylin and Eosin Staining of Tissue Sections

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Hematoxylin and eosin staining was performed on tissue sections after MSI analysis. The matrix was removed by immersion in 100% methanol for 30 s, after which the following protocol was used. The tissues were first washed with series of solutions (2 × 95% EtOH, 2 × 70% EtOH and deionized water for 2 min each), stained with hematoxylin for 3 min and subsequently washed with running tap water for 3 min. Tissues were then stained with eosin for 30 s and washed with running tap water for 3 min. After staining, the samples were placed into 100% ethanol for 1 min, then in xylene for 30 s. Finally, glass coverslips were placed onto the samples using Entellen mounting medium. High-resolution optical scans of the stained tissue sections were acquired using a Leica Aperio CS2 (Leica Biosystems Imaging, Vista, CA).
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2

Histological Assessment of Lung Inflammation

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Lung samples were fixed in 4% paraformaldehyde, embedded in paraffin, and cut into 5 μm sections. The sections were stained with hematoxylin and eosin (H&E) to assess the degree of inflammation. H&E staining was visualized using Leica Aperio CS2 (Leica Biosystems, USA).
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3

Quantification of Tumor-Infiltrating Lymphocytes in Breast Cancer

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TILs were evaluated in 809 whole section formalin-fixed paraffin-embedded (FFPE) tumor tissue samples stained with H&E. The slides were scanned at 200× magnification using a Leica scanner (Leica Aperio CS2, Leica Biosystems, Mount Waverley, VIC, Australia), and the images were visualized using the Aperio ImageScope free software (version 12.3.5.5080).
TILs assessment was independently performed by the senior consultant histopathologist (HO) and one trained researcher (JP). Both were blinded to the clinical data. A consensus decision was made in cases with diverse result.
Briefly, all mononuclear cells within the stroma in the tumor area were considered as sTILs (referred to as TILs) and were estimated as a percentage (1–100%) of the total stromal area within the tumor and its borders. TILs in areas of necrosis, outside of tumor borders, or within in situ carcinomas were excluded. Based on the percentage of TILs, tumor samples were considered to have low (<10%), intermediate (10–39%), or high (≥40%) infiltration. Forty-six samples consisting of in situ carcinoma, microinvasive carcinoma, benign tissue, Paget’s disease, intracystic tumors, or of poor quality preparation were excluded following the exclusion criteria described in the guidelines by the Immuno-Oncology International TILs Working Group (https://www.tilsinbreastcancer.org/) (accessed on 2 February 2021) [37 (link)].
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4

Quantitative Analysis of Liver, Kidney, and Pancreas Proteins

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The collected liver, kidney, and pancreas samples were thoroughly homogenized and prepared for the gene study. Initially, the total RNA was isolated and extracted from the three samples using RNeasy Mini Kit (Qiagen, USA, Cat No./ID: 74104). The concentration of the total RNA was measured by spectrophotometry (JENWAY, USA) at measurements were done blindly by a pathologist who was unfamiliar with the study groups. At 20x magnification, all immunostained slides were scanned by a slide scanner (Leica Aperio CS2, Leica Biosystems Imaging, Inc., Germany). The computer system was provided with Aperio ImageScope software v12.4.3 (Leica Biosystems Imaging, Inc., Germany). Next, all scanned slides were subjected to image analysis using the software's color deconvolution algorithm to measure the area percent and the optical density. Ten rectangular fixed areas of interest (1.920 mm 2 ) in each section per group were randomly selected. For Klotho, the area percent was measured in the kidney and pancreas, meanwhile the optical density in the liver. The HSP60 immunoreaction was quantified by measuring the optical density in the three organs. Data were then exported, and statistical analysis was performed.
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5

Histological Evaluation of Lung and Colon

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Whole lungs were inflated with 10% formalin (ThermoFisher Scientific) to preserve pulmonary architecture. Mid-colon segments were fixed in 10% formalin. Lungs and colons were processed, paraffin-embedded, sectioned (4–5 µm), and stained with hematoxylin and eosin by the UNMC Tissue Sciences Core Facility. Slides were scanned using the Leica Aperio CS2 (Leica Biosystems, Deer Park, IL, USA), and images were acquired (20×) using the Leica ImageScope software. Colonic cross-sections were blindly scored using a previously published scoring system that assesses crypt architecture, cell infiltration, muscle wall thickening, and crypt abscess [36 (link)]. Fixed mid-colon segments were stained with periodic acid-Schiff (PAS) and alcian blue (AB) for the detection of intestinal goblet cells. The number of PAS/AB+ goblet cells/10 crypts was determined by counting the cells in four different areas in each section. Additionally, the percentage of PAS/AB+ and only AB+ cells was determined in each section by a blinded pathologist to semi-quantitate the differences in the two types of goblet cell staining.
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6

Histological Analysis of Skin Biopsies

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Skin biopsies were dehydrated and cleared using an automated Tissue Processor (Shandon Excelsior ES, Thermofisher Scientific, Waltham, MA, USA). The biopsies were then embedded in paraffin using a tissue embedding machine (Leica EG1160, Leica Biosystem, Wetzlar, Germany). A 4 μm thick section was taken from each biopsy using a manual microtome (Leica RM2235, Leica Biosystem, Wetzlar, Germany) and stained with hematoxylin and eosin. Staining was performed on an auto-stainer (Leica ST5020, Leica Biosystems, Wetzlar, Germany) according to the manufacturer's instructions. Each section was scanned (Leica Aperio CS2, Leica Biosystems, Wetzlar, Germany) and examined on a computer screen.
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