The IHC-stained slides were scanned by Aperio ScanScopeXT (Leica Biosystems) using the 20x objective, and the digital images were stored in eSlide Manager (Leica Biosystems) database. Aperio Genie (Leica Biosystems), a pattern recognition tool, was used to select viable areas within the tumor. For CAIX-LC3B analysis, CAIX-positive and CAIX-negative regions were manually annotated and transferred to the LC3B image for subsequent image analysis. Whole slide image analysis was performed using positive pixel count algorithm where the area of positive signal was measured and normalized to the corresponding total viable tumor area. All values are expressed as the mean ± SD. One-way ANOVA was used for statistical analysis with a significance level set at p < 0.05.
Aperio genie
Manufactured by Leica
Sourced in Germany
The Aperio GENIE is a digital pathology system developed by Leica Biosystems. It is designed to capture, manage, and analyze digital images of pathology samples. The core function of the Aperio GENIE is to provide a comprehensive digital workflow for pathologists and researchers.
Automatically generated - may contain errors
4 protocols using aperio genie
1
Tumor Immunohistochemistry and Image Analysis
2
Cardiac Collagen Quantification via Picrosirius Red
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Paraffin-embedded cardiac cross-sections were deparaffinized and collagen fibers were stained with Picrosirius red, as described before [8 (link)]. Digital images of sections were captured using a slide scanner (Aperio CS2, Leica Biosystems, Nussloch, Germany) and a classifier algorithm (Aperio GENIE, Leica Biosystems, Nussloch) was trained to detect red-stained collagen fibers. Subendocardial and subepicardial collagen content were defined as the proportion of collagen fibers in the whole cardiac tissue.
3
Quantifying Cardiac Collagen Content
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Fixed cardiac cross sections derived from the LV base, mid and apex region were embedded in paraffin and stained with Picrosirius Red (Morphisto, Germany). Collagen content was defined as the relative proportion of Picrosirius Red-positive area from total LV myocardium as assessed by a software algorithm (Aperio ImageScope and Aperio GENIE, both Leica Biosystems, Germany).
4
Cardiac Tissue Histopathological Analysis
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Cardiac cross sections derived from the cardiac base, mid-cavity and apex were fixed with 4% formalin and paraffin-embedded for staining with hematoxylin/eosin (Carl Roth, Germany) and Picrosirius Red (Morphisto, Germany). A blinded expert in veterinary pathology (RK) was asked to grade cellular damage in slides stained with hematoxylin/eosin using a semiquantitative scale ranging from 0 (no damage) to 3 (severe damage). Similarly, cardiomyocyte hypertrophy was graded on a semiquantitative scale as follows: 0 (all cardiomyocytes with regular size in transverse sections), 1 (few cardiomyocytes with increased size in transverse sections), 2 (some cardiomyocytes with increased size in transverse sections), and 3 (majority of cardiomyocytes with increased size in transverse sections). For collagen quantification, histological slides were digitized using an Aperio CS2 image capture device (Leica Biosystems, Germany), and the relative proportion of red-stained collagen from total tissue area was determined by a software algorithm (Aperio ImageScope and Aperio GENIE, both Leica Biosystems). Total collagen in the LV was calculated as the mean of apical, mid-cavity and basal values.
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