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Imagej software

Sourced in Austria

ImageJ is an open-source image processing software developed for scientific use. It provides a platform for analyzing, editing, and processing digital images. The software's core function is to allow users to view, edit, and analyze images from a variety of file formats.

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4 protocols using imagej software

1

Image Analysis with R and ImageJ

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R (ver. 4.2.1) (R Foundation, Austria) and the ImageJ software were used to analyze the data.
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2

Invasion Assay for Cell Migration

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Cells (1.5 × 105/well) were seeded into six-well plates in 2 ml EMEM+/+ and incubated for 24 h. The cells were detached with Accutase (Sigma-Aldrich) and washed in PBS−/−, starved for 4 h, and treated with vehicle or 5 μg/ml MPO. A 24-well invasion chamber (#354480 Corning) was used. The chamber was activated by the addition of warm (37 °C) EMEM−/− to the interior of the inserts (0.5 ml) and bottom of the wells (0.5 ml) for 2 h. Upon activation, the medium was removed, and 750 μl EMEM +/+ was added to the bottom well. The treated cell suspension was added to the insert and incubated for 24 h at 37 °C, and 5% CO2. Afterwards, non-invaded cells were removed from the upper part of the membrane by wiping with cotton swab over the membrane of the chamber. The invaded cells were fixed and stained with Diff-Quick solution. A scalpel was used to remove the membrane from the insert and placed on a microscopy slide. Five photos of each membrane were captured at 100 × magnification using Olympus B×53 with an Olympus UC90 camera. CellSense Standard software was used. ImageJ software (R Foundation) cell counter function was used to count the invaded cells.
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3

Quantifying Lyme Disease Biomarkers

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Statistical Chi squared test for equality of proportions was applied in order to correlate urinary OspA outcome (detectable or non-detectable) to clinical LB diagnosis and serology. Power calculations were performed in order to estimate the power of the test, given the number of samples in each group, the proportions of urinary OspA outcome, and a significance level of 0.05. Calculations were performed using R software (http://www.r-project.com).
Western blotting band intensity was quantified with imagej software (imagej.nih.gov/ij/index.html">http://imagej.nih.gov/ij/index.html) by selecting the area of interest and calculating area, mean and standard deviation of selection peR software instructions. Blast analysis and protein alignment was performed using pBLAST [32 (link)]. Search parameters were as follows: query sequence: KTSTLTISVNSKKTTQLVFTKQDTITVQKYDSAGT, Database Name: non redundant, Program: BLASTP 2.2.31+.
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4

Statistical Analysis Techniques in Life Sciences

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Statistical analysis was performed using the SPSS 20.0 software, GraphPad Prism 8.0 software, Image J software, and R software (version 3.5.2). Statistical differences between two groups were determined using an unpaired t-test, while those between multiple groups were determined using a one-way ANOVA followed by Bonferroni test post hoc test (group ≥3). Quantitation of the cell number, colony number, wound gap closure and WB band integrated density were performed with ImageJ software (v1.53e; NIH). Chi-square test was used to determine the relationship between NQO1 protein expression and clinicopathological parameters. Kaplan-Meier method was used to draw the survival curve, and Log-rank test was used for survival analysis. The Renyi test was performed to generate the P-values when survival curves crossed over. Cox proportional hazards models were applied to evaluate the hazard ratios (HR) in uni- and multivariate logistic regression analyses. The value of P<0.05 was recognized statistically significant.
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