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14 protocols using image pro analyzer 7

1

Multimodal Imaging of Tumor Hypoxia and Extracellular Matrix

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Tumor sections were imaged using a fluorescence microscope (BD CARV II Confocal Imager; BD Biosciences), a Quentem 512sc Photometrics camera (Photometrics), and a MIV2000 motorized x-y stage (MetaMorph Imaging System; Molecular Devices), at the following excitation/emission (Ex/Em) wavelengths: HA, DiI, and CD31: 562 nm/624 nm; Hypoxyprobe-1, ColI, and α-SMA: 490 nm/520 nm.
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).
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2

Quantifying Stem Cell Markers in Rat Ligaments

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Four rats were treated with 0.5 μg/μl rHAM+ dissolved in PGA, and five were treated with PGA carrier alone.
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.
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Quantifying Atrial Fibrosis Using Histology

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Tissue sections from the LA appendage were immersion-fixed in 4% paraformaldehyde and then processed by paraffin embedding. Serial histologic sections (6.0-μm thick) were cut and processed with Masson trichrome stain for determination of fibrosis.
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.
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4

Bone Phenotyping of BgnFmod KO Mice

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The skeletal phenotype of BgnFmod KO mice was first analyzed in whole femurs and L3 lumbar vertebrae using the µCT50 system (Scanco Medical AG, Brüttisellen, Switzerland) at a 10-μm resolution. Mineralized tissues were segmented by a global thresholding software. Standardized nomenclature was used for the bone parameters measured. For the femurs, trabecular parameters were measured at the secondary spongiosa of the distal metaphysis and cortical parameters were determined in a 1mm ring at the mid-diaphyseal region according to previously published guidelines88 (link). For the 3rd lumbar vertebra only trabecular parameters were measured. Growth plate thickness was measured in the distal epiphysis of 5-week old mice. Briefly, for each sample, 2D projections from anterior, posterior and mid-longitudinal locations were obtained, the average thickness of the growth plate obtained from the three projections was quantified using the ImagePro Analyzer 7.0 software (Media Cybernetics, Inc.).
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5

Quantifying Protein Oxidation by ROS

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Detection of protein oxidation by reactive oxygen species (ROS) was measured using the Protein Carbonyls Immunohistochemical Staining Kit (Cosmo Bio USA, Carlsbad, CA, USA, Catalog No. SML-ROIK04-EX). A goat, anti-rabbit IgG primary antibody (Vectastain Elite ABC HRP Immunodetection Kit, Novus Biologicals, LLC, Centennial, CO, USA, Catalog No. PK-6101-NB) was applied on each sample. Secondary solutions A and B (Vectastain Elite ABC HRP Immunodetection Kit) were subsequently applied. Slides were developed using HRP Color Development Reagent, DAB (Bio-Rad Laboratories, Hercules, CA, USA, Catalog No. 170-6535) and counterstained with hematoxylin (Fisher Scientific, Hampton, NH, USA, Catalog No. ICN10192225).
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).
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6

Starvation Effects on Ommatidial Bristle

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WT OR and UAS-mid-RNAi/CyO;GMR-Gal-4/TM3 flies were maintained in population cages and then allowed to lay eggs for 4 hours on grape juice caps with yeast paste. Approximately 80 hours after egg laying, 3°L larvae were transferred into vials with either standard fly medium or starvation medium (8% agar in PBS) for 24 hrs. UAS-mid-RNAi flies were transferred to media conditions after 88 hours due to a slight delay of their growth. After 24 hrs, 30 flies were collected and dorsal ommatidial bristles were scored using a Leica DFC295 light microscope with Image-Pro Analyzer 7.0 software (Media Cybernetics). Ommatidial areas were measured using Image Proanalyzer Plus as previously described (Section 4.5).
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7

Quantitative Analysis of Immunohistochemical Staining

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Double stains for VACV and the marker of interest were performed for each chromogenic IHC stain. H-score quantitation for each of the protein markers was performed by one in-house pathologist by counting a total of 100 cells using the predetermined ROIs from lesioned and adjacent MPXV–IHC-negative skin. The number of positively stained cells was measured as the percentage of the total numbers of counted cells and expressed as percent-positive cells. The staining intensity for each marker was visually scored 0–3 (0 = no staining, 1 = weak staining, 2 = moderate staining, 3 = strong staining) resulting in H-scores of percent-positive cells that ranged from 0 (no staining) to 300 (diffuse, intense staining) [41 (link)]. Manual cell counts were performed at 20× magnification.
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 (Figure 1A).
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8

Zebrafish Xenograft Tumor Imaging Protocol

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Around 500 shA673-1c/mCherry cells were injected into the yolk as described.18 (link), 47 (link) Larvae with regular developmental phenotypes were maintained at 34 °C in 60 μg/ml Instant Ocean eggwater, supplemented if necessary with 20 μg/ml DOX. After 4 days, embryos were fixed overnight in 4% paraformaldehyde at 4 °C. Embryos were imaged in glass-bottom 96-well plates using a NIKON3 confocal microscope. Image processing was performed with ImageJ 1.43 (NIH). ImagePro Analyzer 7.0 (Media Cybernetics, Rockville, MD, USA) analysis was performed as described previously.48 (link) Zebrafish were handled compliant to local animal welfare regulations and maintained according to standard protocols (www.ZFIN.org).
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9

Bone Histomorphometry Analysis in Mice

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Prior to sacrifice WT and BgnFmod KO mice were injected with a calcein fluorochrome (Sigma-Aldrich, St. Louis, MO), 15 mg/Kg intraperitoneally. 5-week old mice were injected with calcein 4 days and 1 day prior to sacrifice while 78-week old mice were injected with calcein 12 days and 1 day prior to sacrifice. Following µCT scanning the femurs were embedded undecalcified in methyl methacrylate. Mid-frontal longitudinal sections were prepared. For dynamic histomorphometry based on the vital calcein double labeling the sections were left unstained. To identify osteoclasts, consecutive sections were stained for TRAP (294–67001, Wako Pure Chemical Industries, Osaka, Japan). Quantitation analysis for both assays was performed using ImagePro Analyzer 7.0 (Media Cybernetics, Inc.). The bone formation and resorption parameters were determined in the secondary spongiosa of the distal metaphysis as reported previously89 (link) according to a standardized nomenclature90 (link).
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10

Quantifying Somatic Features of Neurons

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The laminar location determined by infrared videomicroscopy and recorded as 1–4 according to a location right within layers I, II/III, or IV. For neurons located at the border of layers I–II/III and II/III–IV, the laminar location was represented by 1.5 and 3.5, respectively. Somatic features were measured from IR DGC of the recorded neurons. Briefly, the soma was manually delineated using Image-Pro Analyzer 7.0 software (MediaCybernetics) and length of major and minor axes, perimeter and area were extracted. The soma elongation was calculated as the ratio between major and minor axis. Roundness was calculated according to: perimeter24π×area ; a value close to one is indicative of round somata.
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