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9 protocols using image pro plus 6.0 imaging software

1

Histomorphometric Analysis of Arterial Grafts

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Grafts were harvested at day 28 under anesthesia. For histomorphometry analysis, tissue cross-sections (4-μm thick) were cut, deparaffinized, and rehydrated, followed by staining with hematoxylin and eosin. The sections were examined for severity of luminal stenosis using a DMR Leica microscope (Leica, Bannockburn, IL, United States) and Image-Pro Plus (IPP) 6.0 imaging software (Media Cybernetics, Silver Spring, MD, United States) by an experienced pathologist who was blinded to the groups. The cross-sectional area of luminal stenosis was calculated using the following formula: luminal occlusion (%) = (internal elastic lamina area - luminal area)/(internal elastic lamina area) × 100. Thickness of intimal and intimal medial layers were measured from 10 sites per graft section and intima/intima + media ratios were calculated as described (23 (link)). Furthermore, luminal stenosis of the arterial graft was also determined using a previously described scoring system (24 (link)).
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2

Immunohistochemical Analysis of Immune Cell Markers

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For immunohistochemistry analysis, 3 μm thick cross‐sections were deparaffinized and rehydrated, and then incubated at 4°C overnight with the following primary antibodies: anti‐CD3 (1:800; ab33429; Abcam), anti‐CD4 (1:800; ab203034; Abcam), anti‐CD8 (1:1000; ab217344; Abcam), anti‐CD68 (1:600; ab125212; Abcam), and anti‐FOXP3 (1:800; ab215206; Abcam). Then, the samples were stained with goat anti‐rabbit IgG/HRP (1:100; bs‐0295G‐HRP; Bioss) for 1 h at 37°C. Semi‐quantitative analysis of the inflammation characteristics in samples was performed using Image‐Pro Plus (IPP) 6.0 imaging software (Media Cybernetics). Immunofluorescence was used to detect the expression of PD‐L1 (20 μg/ml; NBP1‐76769; Novus Biologicals) in the grafts and the samples were examined using confocal laser scanning microscope (Zeiss LSM880).
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3

Cardiac Collagen Quantification by Histology

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Cardiac collagen was detected using the Masson trichrome stain. Briefly, paraffin-embedded cardiac tissue sections were processed at 4 µm for dewaxing and rehydration and were stained with standard Masson trichrome to examine myocardial interstitial fibrosis and perivascular fibrosis. With this staining, the normal myofiber was stained red, while the collagen was stained blue. Digital pictures were taken with identical exposure settings for all the sections. The cardiac collagen volume fraction (CVF) and the ratio of the perivascular collagen area to the luminal area (PVCA/LA) were obtained by use of computer-assisted image analysis software (Image-Pro plus 6.0 imaging software, Media Cybernetics, Silver Spring, MD, USA). CVF was obtained by calculating the mean ratio of connective tissue to the total tissue area of the perivascular collagen. The collagen surrounding an intramyocardial coronary artery was considered to be perivascular collagen. PVCA/LA was obtained by examining the mean ratio of perivascular collagen area to coronary artery luminal area of cut cross-sectional vessel specimens.
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4

Quantifying Cardiac Autonomic Regulation

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After euthanized with cervical dislocation, heart tissues were extracted from mice and fixed in 4% paraformaldehyde. Subsequently, the samples were processed and embedded in paraffin. The tissues were cut into 5μm tissue and prepared for further pathological examination. To evaluate the autonomic tone of heart tissues, the tyrosine hydroxylase (TH) was analyzed in the heart slides via immunohistochemistry. For immunofluorescence analysis, the sections were blocked with goat serum for 45 min and then incubated with rabbit polyclonal anti-VChAT antibody (ab235201, Abcam) and mouse monoclonal NF-L (Neurofilament-L) antibody (2835, Cell Signaling Technology). After incubation at 4°C overnight, the slices were washed three times with PBS and stained with goat anti-rabbit Alexa Fluor cy3 (111-545-003, Jackson) and goat anti-mouse Alexa Fluor 488 (111-165-003, Jackson) secondary antibodies. The slides were observed by Upright Fluorescent Microscope (EclipsE, Nikon) equipped with a digital camera (DS-U3, Nikon) and measured by Image-Pro plus 6.0 imaging software (Media Cybernetics, Silver Spring, MD, USA) in a blinded manner.
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5

Quantifying Cardiac Inflammation and Fibrosis

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To estimate the extent of inflammatory filtration, and myocardial fibrosis, hematoxylin and eosin (H&E) and Masson’s trichrome staining were conducted. Terminal deoxynucleotidyl transferase- mediated dUTP nick and labelling (TUNEL) staining was performed to access cardiac and tumor apoptosis. 4′,6-diamidino-2-phenylindole (DAPI; Thermo Fisher Scientific) was used to stain nucleic acids. All the tissue sections were analyzed by image analysis software (Image-Pro plus 6.0 imaging software, Media Cybernetics, Silver Spring, MD, USA) in a blinded manner.
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6

Western Blot Analysis of Protein Expression

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Protein extraction and was determination based on the manufacturer's instructions (C500005 and C503051, Sangon Biotech). Subsequently, the obtained proteins (~30 μg) were analyzed by SDS–PAGE and transferred onto PVDF membranes (ImmobilonP). Thereafter, the membrane was blocked for 1 h at normal temperature with nonfatty milk (3%), and the membranes were incubated at 4°C overnight with the following primary antibodies: rabbit anti‐human antibodies against DGKH (1:1000; 13,873‐1‐AP, Proteintech), PDE4D (1:3000; 67,062‐1‐Ig, Proteintech), PYCR1 (1:1000; 66,510‐1‐Ig, Proteintech), TKT (1:3000; 66,016‐1‐Ig, Proteintech), or β‐actin (1:5000; 66,009‐1‐Ig, Proteintech). Then, the membranes were washed three times at 10‐min intervals, with PBS containing 0.1% Tween‐20. Secondary antibodies were incubated for 1 h at normal temperature (1:5000, SA00001‐2, Proteintech). Finally, special bands were determined by a commercial kit (12,630, Cell Signaling Technology, Inc.). Image‐Pro Plus 6.0 imaging software (Media Cybernetics, Inc.) was used to quantify protein expression and followed statistics by GraphPad Prism 9 (GraphPad Software).
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7

Histomorphometric Analysis of Bone Regeneration

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Each slide stained with HE (n = 5, one slide per animal) was observed under an optical microscope (OLYMPUS BX43, Tokyo, Japan), and six photomicrographs corresponding to the regions surrounding the implanted biomaterial were captured by scanning without overlapping, using a high-resolution digital camera (OLYMPUS SC100, Tokyo, Japan). The magnification used in the light microscope was 40× for histomorphometric analysis. For general histological evaluation, magnifications if 10× and 40× were also used to identify the defect area, inflammatory cell infiltration patterns, reminiscent biomaterial, and newly formed bone. Histomorphometric analysis was done using the Image-Pro Plus® 6.0 imaging software (Media Cybernetics, Silver Spring, MD, USA). Through this program, a grid of 133 points was superimposed on the area under analysis, which allowed the determination of the volume density of the newly formed bone, of the connective tissue, and of the residual biomaterial. The 133 points superimposed on each photomicrograph were considered as 100%, so each point was classified, and the percentage of each parameter was obtained (Adapted from [36 (link)]). Quantitative values were stored in the Microsoft Excel® database and were transferred to the Prism® 8.0 software (GraphPad Software, Inc., Irvine, CA, USA) for statistical analysis.
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8

Histomorphometric Analysis of Bone Regeneration

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For histomorphometric analysis, the photomicrographs were captured from HE-stained slides, with 20× magnification, in a bright field light microscope (OLYMPUS® BX43, Tokyo, Japan) coupled in a high-resolution digital camera (OLYMPUS® SC100, Tokyo, Japan) in CELLSENS® 1.9 software (Digital Image, Olympus, Tokyo, Japan). In each histological section, 6 fields, with no overlapping areas, were captured by scanning corresponding to the interest area into the dental socket.
The photomicrographs were transferred to ImagePro-Plus® 6.0 imaging software (Media Cybernetics, Silver Spring, MD, USA), and a grid of 200 points was superimposed on histological images. Each point of the grid was classified according to the corresponding variable: newly formed bone, biomaterial, and connective tissue, thus allowing the determination of the density of each structure. The number of points for each variable was transformed into a percentage. The average of the fields of each animal was obtained for each variable that was used in the statistical analysis.
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9

Renalase Expression in Kidney Tissue

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Immunohistochemistry was conducted as previously reported [21] . Briefly, serial 5 μm paraffinembedded tissue sections were dewaxed and rehydrated. Endogenous peroxidase activity was inhibited by incubating the sections in 3.0% hydrogen peroxide. The sections were incubated overnight at 4 °C with renalase (Abcam, USA 1:100) antibody and an appropriate secondary antibody at room temperature for 30 min. The sections were photographed through an upright fluorescence microscopic imaging system (BX51 Olympus, Japan). To evaluate the immunoperoxidase stain of renalase, 10 non-overlapping fields at 20× magnification were randomly selected from each kidney section. The immunoperoxidase stain was quantified using the Image Pro Plus 6.0 imaging software (Media Cybernetics, USA). Data were reported as the mean optical density in each field area.
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