Captured Hypoxyprobe-1 and ColI images were then analyzed with Image-Pro Analyzer 7.0 software (Media Cybernetics). For α-SMA quantification, bright field slides were scanned using the Aperio AT2 scanner (Leica Biosystems), and images were analyzed with HALO image analysis software (Indica Lab). Necrotic regions were excluded from analysis. The percent fluorescent positive area was calculated as the fluorescent signal area divided by the entire tumor area (% positive area = positive signal area/total area). HA levels were quantified using the Spectrum Positive Pixel Count V9 Aperio scoring algorithm (Leica Biosystems).
Image pro analyzer 7
Image-Pro Analyzer 7.0 is a software package designed for image analysis and processing. It provides tools for measurement, quantification, and interpretation of digital images. The software is capable of handling a variety of image formats and supports multiple image analysis techniques.
Lab products found in correlation
14 protocols using image pro analyzer 7
Multimodal Imaging of Tumor Hypoxia and Extracellular Matrix
Quantifying Stem Cell Markers in Rat Ligaments
For quantification of CD105 expression 6 slides were stained from each ligament, and 5 photographs were taken from each slide. All positive cells (brown staining) were counted in each photograph. The researcher was blind for the treatment the rat received. The mean value of positive cells for each ligament was calculated.
For quantification of STRO‐1 and Ki67 expression, 3 slides were stained from each ligament, and 7 photographs were taken from each slide. In each photograph, the area stained by the antibody was divided by the number of stained nuclei. The fluorescent signals were measured using Image Pro Analyzer 7.0 software (Media Cybernetics Inc., Rockville, MD, USA). The researcher was blind for the treatment the rat received. The mean value of positive staining per number of nuclei was calculated for each ligament.
Quantifying Atrial Fibrosis Using Histology
Stained sections were examined using an Olympus BX53 microscope, and high-resolution digital images were captured at 40× magnification using an Olympus DP72 digital camera (Olympus Corporation, Tokyo, Japan). Morphometric analyses of digitized images were performed in a blinded manner using Image-Pro Analyzer 7.0 software (Media Cybernetics, Bethesda, MD). The extent of atrial fibrosis was determined using standardized color thresholds and expressed as the percentage of the total area occupied by cardiac myocytes and interstitial tissue. For each atrium, 6 optical fields were examined, and the average data were obtained.
Bone Phenotyping of BgnFmod KO Mice
Quantifying Protein Oxidation by ROS
Photographs of whole tissue slides were taken at 20× magnification using a VS120 Virtual Slide Microscope (Olympus, Tokyo, Japan). Images were converted from .vsi to .tif and compressed using the Fiji distribution of ImageJ 1.52p (Wayne Rasband, National Institutes of Health, USA) [57 (link)]. Percent positive staining was determined as the number of positive shaded pixels (brown) divided by the total number of pixels representing the whole tissue multiplied by 100. All pixel analysis was performed using Image-Pro Analyzer 7.0 Software (Media Cybernetics, Rockville, MD, USA).
Starvation Effects on Ommatidial Bristle
Quantitative Analysis of Immunohistochemical Staining
To reduce visual bias during manual cells counts (H-scoring), a calibrated, computerized grid composed of squares measuring 20 µm across was applied to the ROIs using Image Pro Analyzer 7.0 software (Media Cybernetics, Rockville, MD, USA). Cells were counted from the left of the preselected ROIs and continued to the right following the horizontal lines of the computerized grid until a total count of 100 was reached. To further reduce visual counting bias, only those cells whose nuclei were overlaid by cross hatches of the computerized grid were counted (
Zebrafish Xenograft Tumor Imaging Protocol
Bone Histomorphometry Analysis in Mice
Quantifying Somatic Features of Neurons
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