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Image pro analyzer software

Manufactured by Media Cybernetics
Sourced in United States

Image-Pro Analyzer software is a comprehensive image analysis and processing platform. It provides tools for a wide range of image-based applications, including measurement, quantification, and enhancement. The software enables users to analyze digital images captured from various sources.

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7 protocols using image pro analyzer software

1

Methamphetamine-Induced Neurochemical Changes

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After in vivo MRI scanning was completed, a subgroup of METH-exposed mice were humanely euthanized and brain samples were collected for immunohistochemical analyses. Immunoperoxidase staining was performed on nine of the METH-exposed mice. Staining was done on 5μm-thick paraffin-embedded paraformaldehyde-fixed coronal brain sections with anti-calbindin-1 antibody (#AB1778, Millipore, Billerica, MA, USA, 1:300 dilution) and anti-DAT (6-5G10, #sc-3258, Santa Cruz Biotechnology, Santa Cruz, CA, USA, 1:100), as described previously (Soontornniyomkij et al., 2010 (link)). The immunostained slides were digitally scanned (Aperio ScanScope GL, Vista, CA, USA). The immunoreactivity intensity was measured within (Image-Pro Analyzer software, Version 6.3, Media Cybernetics, Bethesda, MD, USA) and normalized to the anatomic area, i.e., the combined hippocampal CA1 strata oriens, pyramidale, radiatum, and lacunosum-moleculare for calbindin-1; and the caudate-putamen for DAT, as previously described (Soontornniyomkij et al., 2010 (link)).
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2

Quantifying Atrial Fibrosis in Canine Hearts

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At the end of the terminal study, under anesthesia (Isoflurane Inhalation 1.5–2%), ventricular fibrillation was induced using 9 volt battery to euthanize the animals and the heart was removed. The left atrial appendage was obtained in 10 dogs (5 from control and 5 from VNS), immersion-fixed with 4% formalin, and then processed by paraffin embedding. The tissue was not taken in the remaining dogs because of technical issues. Serial histological sections (6.0-µm-thick) were cut and stained with Masson’s trichrome stain. The stained sections were examined using an Olympus BX53 microscope and high-resolution digital images were captured with an Olympus DP72 digital camera. Morphometric analyses of digitized images were performed in a blinded manner using Image-Pro Analyzer software (Media Cybernetics, Inc., Bethesda, MD). The extent of interstitial fibrosis was estimated from Masson-stained sections and was expressed as the percentage of the total area occupied by interstitial tissue that was stained blue. For each appendage, 4 to 5 optical fields were examined and the data were averaged. The regions of endocardial, pericardial and perivascular fibrosis as well as the empty areas of tissue separation, caused by histology artifact, were subtracted from the total area to standardize among the samples.
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3

Quantitative Pancreatic Immunohistochemistry

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The pancreatic samples were obtained without saline perfusion (Cheng et al., 2017 (link)) and processed for paraffin embedding. Pancreatic sections (5 mm) were dewaxed in dimethylbenzene and rehydrated through graded ethanol series (100, 95, 80, and 70%). Heat-mediated antigen retrieval with citrate buffer was performed and sections were blocked in a 2% BSA solution for 30 min at room temperature. The following primary antibodies were used: anti-insulin, anti-glucagon anti-PDX1, anti-FOXO1 (the primary antibodies were purchased from Cell Signaling), and anti-NGN3 (LifeSpan Biosciences). Sections were incubated with primary antibodies overnight at 4 °C. After washing with PBS, sections were incubated for 40 min at room temperature with secondary antibodies: Alexa Fluor 594 donkey anti-mouse immunoglobulin IgG and Alexa Fluor 488 donkey anti-rabbit IgG (Proteintech). The double staining was captured using a Nikon Y-TV55 fluorescent microscope. Numbers of cells or areas of interest were measured from 3 to 5 mice per group, or 4–5 pancreas sections per mouse for 20 islets. We then measured the positive stained area divided by total islet area (to calculate the staining index) using Image-Pro analyzer software (version 6.0, Media Cybernetics, USA).
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4

Aortic Structural Analysis Protocol

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The aorta was removed and fixed with 4% paraformaldehyde and dehydrated in 30% sucrose. In addition, the ascending aorta and aortic arch were separated and embedded in optimal cutting temperature medium in suitable EP tubes with markers that indicated the accurate position of the outer and inner arterial wall. After freezing the aorta at temperatures colder than −30 °C, it was sectioned at a thickness of 8 μm at intervals of 100 μm along the vessel. The middle sections of the ascending aorta and arch, in accordance with the locations of the ultrasonic testing in vascular distension, were collected. H&E staining as well as VVG elastin staining (GenMed Scientifics Inc., USA) were applied to detect the structure of the vessels. An image analysis was performed using Image-Pro Analyzer software (Media Cybernetics, USA) to quantify the aortic diameter, vessel wall thickness, elastin layer thickness and CSA.
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5

Masson-Goldner Staining for Cardiac Fibrosis

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For detection of collagen structures, Masson-Goldner stainings were utilized. For this purpose, heart preparations were taken by transverse tissue sectioning at the level of the middle of the ventricles and then post-fixed in Bouin solution o/N at RT. In this process, the picric acid led to denaturation of the proteins. The following day, the excess Bouin solution was rinsed off with water for 15 min. Then, the heart preparations were subjected to iron hematoxylin staining according to Weigert. This resulted in dark brown to black staining of the nuclei (52 ). This was followed by the Masson-Goldner staining. Subsequently, heart preparations were dehydrated and preserved with Roti-Histokitt II. For documentation purposes, the heart transverse sections were imaged and saved using NIS Elements AR software (Nikon Instruments). Fibrotic fractions were quantified by Image Pro Analyzer software (Media Cybernetics).
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6

Quantifying Iba1 and GFAP Immunoreactivity

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Immunohistochemistry for Iba1 in the frontal cortex and putamen showed resident microglia and perivascular macrophages (Fig. 1f), and that for GFAP showed diffusely distributed astroglia of variable density (Fig. 1g), as previously described [58 (link)]. For quantification of Iba1 and GFAP immunoreactivity density, the DAB tissue slides were scanned using a slide scanner (20x objective, Aperio ScanScope GL, Leica Biosystems, Buffalo Grove, Illinois, USA), and a square of 3,000 × 3,000 μm2 was extracted from the frontal cortex and putamen. Using the Image-Pro Analyzer software (Version 6.3, Media Cybernetics, Bethesda, Maryland, USA), the DAB intensity was quantified within each area of interest, i.e. the frontal cortical layers II-VI and putamen [59 (link)]. The DAB intensity per unit area (i.e. DAB density) was calculated [62 (link)]. To adjust for between-batch variation, one brain section from the same positive tissue control block was included in each immunostaining batch. The control DAB density value (in a specified area) was used to normalize all the DAB density values of studied cases in the same batch, giving rise to the immunoreactivity density values (continuous). Finally, each of the Iba1 and GFAP immunoreactivity density values was graded as mild (≤ the median) or marked (> the median) gliosis (categorical).
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7

Quantifying Cytoskeletal Dynamics in RA FLS

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Following treatment with PMO, equal numbers of live RA FLS were resuspended in FLS medium containing 5% FBS and allowed to adhere onto coverslips coated with 20 µg/ml fibronectin (FN) at 37°C for 15, 30 and 60 min. Cells were fixed in 4% para-formaldehyde for 5 min, permeabilized in 0.2% Triton X-100 for 2 min, and stained with 5 U/ml Alexa Fluor® 568 (AF 568)-conjugated phalloidin and 2 µg/ml Hoechst for 20 min (Life Technologies). Samples were imaged with an Olympus FV10i Laser Scanning Confocal Microscope (Olympus, Center Valley, PA). Using the FV10i acquisition software, each coverslip was separated into four nine-paneled mega-images. Each panel (1024×1024) was acquired with a 10× objective and then stitched together, through a 10% overlap, with the Olympus FluoView 1000 imaging software. Total cell number and cell areas for each panel were calculated using Image Pro Analyzer software (Media Cybernetics, Rockville, MD).
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