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Image pro premier

Manufactured by Media Cybernetics
Sourced in United States

Image-Pro Premier is a powerful image analysis software designed for a wide range of applications. It provides advanced tools for image processing, measurement, and quantification. The software's core function is to enable users to efficiently analyze and extract valuable information from digital images.

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57 protocols using image pro premier

1

Quantifying Spinal Cord Neuroinflammation

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To analyse AFSM accumulation and glial activation in the grey matter (GFAP‐positive astrocytes + CD68‐positive microglia), markers of oligodendrocyte precursors (Olig2 and NG2) in the white matter and CGRP‐positive fibres in laminae III‐IV of the dorsal horn of the spinal cord, semiautomated thresholding image analysis was performed using Image‐Pro Premier (Media Cybernetics) [17]. This involved collecting slide‐scanned images at 10× magnification from each animal followed by demarcation of regions of interest. Images were subsequently analysed using Image‐Pro Premier (Media Cybernetics) using an appropriate threshold that selected the foreground immunoreactivity above background. Due to the density of interneurons in laminae I‐III of the dorsal horn [20, 21, 22], image densitometry for the average pixel luminance data was gathered for those antigens that showed a higher density of staining (calbindin, calretinin and parvalbumin) and for other antigens with higher staining densities (CGRP, Substance P). Slide‐scanned images at 10x magnification were collected, followed by collecting the mean luminance data across all pixels from regions of interest delineated using StereoInvestigator (MBF Bioscience).
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2

Automated Quantification of Glial Activation and Storage Material

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To analyze the degree of glial activation in the gray matter (GFAP-positive astrocytes + CD68-positive microglia) as well as accumulation of storage material (SCMAS), a semiautomated thresholding image analysis method was used with Image-Pro Premier software (Media Cybernetics)23 (link). Briefly, this involved the collection of slide-scanned images at 10 × magnification for a one-in-six series of sections per animal followed by demarcation of all regions of interest47 while maintaining the lamp intensity, video camera setup, and calibration constant throughout image capturing. Images were subsequently analyzed using Image-Pro Premier (Media Cybernetics) using an appropriate threshold that selected the foreground immunoreactivity above background. This threshold was then applied as a constant to all subsequent images analyzed per batch of animals and reagent used to determine the specific area of immunoreactivity for each antigen23 (link). Specific regions of interest included the ventral posteromedial/posterolateral (VPM/VPL) nuclei of the thalamus and the S1BF cortex22 (link),31 (link),32 (link).
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3

Spinal Cord Histological Analysis

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To analyse AFSM accumulation and glial activation in the grey matter (GFAP-positive astrocytes + CD68-positive microglia), markers of oligodendrocyte precursors (Olig2 and NG2) in the white matter and CGRP-positive fibres in laminae III-IV of the dorsal horn of the spinal cord, semiautomated thresholding image analysis was performed using Image-Pro Premier (Media Cybernetics) [17 (link)]. This involved collecting slide-scanned images at 10x magnification from each animal followed by demarcation of regions of interest. Images were subsequently analysed using Image-Pro Premier (Media Cybernetics) using an appropriate threshold that selected the foreground immunoreactivity above background. Due to the density of interneurons in laminae I-III of the dorsal horn [20 –22 (link)], image densitometry for the average pixel luminance data was gathered for those antigens that showed a higher density of staining (calbindin, calretinin and parvalbumin) and for other antigens with higher staining densities (CGRP, Substance P). Slide-scanned images at 10x magnification were collected, followed by collecting the mean luminance data across all pixels from regions of interest delineated using StereoInvestigator (MBF Bioscience).
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4

Femur Histological Analysis Protocol

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After µCT imaging, femurs underwent demineralization with 10% ethylenediaminetetraacetic acid solution for 10 days, followed by alcoholic dehydration and paraffin embedding according to the flow cytometry method. Paraffin-embedded materials produced 5-µm sections that were subjected to hematoxylin and eosin (H&E) staining and tartrate-resistant acid phosphatase staining according to a conventional protocol (17 (link)). Image-Pro Premier (Media Cybernetics) was used for the uptake and analysis of section images. The lumbar spine was cut in the central region in the frontal transection orientation using a micro-cutting machine, BS-300CP (Meiwafosis, Japan), and the trabecular bone status was observed by stereomicroscopy.
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5

Quantification of Mutant Polycystin-1 Expression

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Porcine LLC-PK1 cells were electroporated (Nucleofector II; Amaxa with Basic Nucleofector Kit for Primary Mammalian Epithelial cells; Lonza) with pTAG GFPPC2 and mCherryPC1 constructs, and surface and intracellular expression of WT and ΔL-mutated PC1 was detected by immunofluorescence using antibody directed against the mCherry epitope (33 (link)). Images were obtained with an Eclipse TE2000-U microscope (Nikon) using a 60× oil objective and Image-Pro Premier (MediaCybernetics) and Photoshop (Adobe) software. For quantification, images were taken of 5–10 non-overlapping fields (20× objective) that contained GFP-positive cells. The same fields were subsequently imaged for Texas Red, and the number of cells positive for GFP, Texas Red or both was determined. Quantification was from three independent transfection experiments.
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6

Automated Protrusion Analysis of Macrophages

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Stitched images were calibrated in ImagePro Premier (Media Cybernetics) for automated quantification of protrusion frequency. eGFP+ macrophages were size-selected by filtration of objects with an area 100 µm2 or larger and then masked to reduce noise artifacts (Supplementary Fig. S1a, Step I). Protrusions were isolated by repeatedly passing a morphological erosion filter (2 × 2 square, 7 passes) over the image which erased peripheral cellular signal, followed by applying a dilation that restored signal to the central cell body (Step II). Subtracting the processed image from the original mask resulted in selection of regions protruding from the main cell body, which can be filtered by a highly variable set of size parameters to yield either thin TNT-like structures or other thicker protrusions (Supplementary Fig. S1b) (filters for TNTs: 20 µm2 minimum area, 10 µm2 minimum longest axis, 0.6 maximum circularity, 1.9 box area minimum). Finally, the selected protrusion area was overlaid with the original image and cells were classified as either protrusion-positive or -negative based on signal intensity; overlap of protrusion and cell body yielded a positive result (Step III - IV). All segmentation, adjustment and filtration factors were trained and optimized blind to condition and applied automatically to batch images using ImagePro Premier macros.
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7

Visualizing Mitochondria in Parental and Resistant Cells

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For visualization of mitochondria, parental and vemurafenib-resistant cells were plated in a 12-well coverslip 10 mm glass diameter plate overnight at 37°C, 5 % CO2 incubator. Cells were then washed with PBS, before addition of live cell imaging solution (Molecular Probes®, Thermofisher) containing the Mitotracker Green FM (Invitrogen) and DNA dye Hoechst 33342 (Thermofischer) for 30 min at 37°C. Afterwards, the staining solution was removed and cells were washed twice with LCIS, and then 500 μl LCIS containing 10 mM glucose was added in each well. The live cells were then observed and photographed using a Zeiss LSM 880 laser scanning confocal microscope (Carl Zeiss Microscopy, Thornwood, NY, USA). Imaging data was subsequently analyzed and quantified using Image-Pro Premier (Version 9.2, Media Cybernetics, Rockville, MD, USA).
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8

Wood Anatomy and Hydraulic Measurements

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The same segments used for hydraulic measurements were also used for wood anatomy analysis. Tracheid lumen diameter was measured for the most recent complete two rings of each segment using a radial file of three cells wide with images taken with a Leica DM3000 microscope at 20× magnification. Only noncompression wood was analyzed. The hydraulically weighted mean lumen diameter (Tdiam) was calculated using the Hagen–Poiseuille formula: Tdiam=d4n1/4 where d is tracheid diameter and n is the total number of tracheids measured. Tracheid length (Tlength) was measured using chemical macerations following Schoonmaker et al., 2010. Wood sections corresponding to the outer rings of each segment were digested in a 1:1 mixture of 80% glacial acetic acid and 30% hydrogen peroxide at 60°C for 48 hr. Macerated tissue was analyzed with a light microscope at 25× magnification to measure the length of 200 tracheids for each sample. All the image analyses were performed with ImagePro Premier (Media Cybernetics, Silver Spring, MD, USA) software.
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9

Quantifying Apical Progenitor Divisions

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Apically localized dividing progenitor cells at Anaphase/Telophase were identified with the appearance of typically condensed separating chromatids. Angles of cleavage planes with reference to the surface of the VZ were determined using Image-Pro Premier (Media Cybernetics, Inc). The data of each individual brain were obtained from 30 to 50 pictures of brain sections at ×40 optical view.
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10

Quantitative Assessment of TRIM22 Expression

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Deparaffinised and rehydrated tissue sections were processed for epitope retrieval using EnVision FLEX target retrieval solution (Agilent, K8004), as per manufacturer’s instructions. Samples were processed and stained for TRIM22 (Proteintech, 13744-1-AP; 1/50 dilution) and FLEX haematoxylin (Agilent, K8008) using a Autostainer Link 48 (Agilent), as per manufacturer’s instructions. TRIM22 antibody specificity was validated by staining sectioned MRC5 (positive control) or A549 (negative control) cell pellets. Tissue sections were independently assessed for TRIM22 expression by a qualified pathologist. Automated quantitation of TRIM22 expression levels was performed using whole-slide scans and Image-Pro Premier (Media Cybernetics), as previously described (Leeming et al., 2015 (link); Akram et al., 2018 (link)).
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