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Image studio light v5

Manufactured by LI COR

Image Studio Light V5.2 is a software application developed by LI-COR Biosciences for the analysis and quantification of western blot and gel-based experiments. The software provides tools for image capture, image analysis, and data reporting.

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Lab products found in correlation

2 protocols using image studio light v5

1

Statistical Analysis of Biological Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
All data are presented as mean ± s.e.m. and subjected to statistical analysis using GraphPad Prism software. Immunoblots were analyzed either using Image Studio Light V5.2 (LI-COR Biosciences) or ImageJ software. Sample size was determined from our previously published work (Penfold et al. 2018). Statistical significance was determined using two-tailed unpaired Student’s t-test for one variable comparison between two groups. Fisher’s exact test was used to compare two groups on a dichotomous categorical outcome (for grading of tissue sections). For comparisons involving a single variable in three or more groups, one-way ANOVA with Tukey’s post-hoc test was performed. All data comparing two variables (e.g. genotype, diet) were analyzed by two-way ANOVA with uncorrected Fisher’s LSD post-hoc test. For gene expression data analysis in human PCa datasets, significance was tested using Kruksal-Wallis non-parametric test. For all analyses, significance was accepted at p < 0.05.
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2

Statistical Analysis of Biological Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
All data are presented as mean ± s.e.m. and subjected to statistical analysis using GraphPad Prism software. Immunoblots were analyzed either using Image Studio Light V5.2 (LI-COR Biosciences) or ImageJ software. Sample size was determined from our previously published work (Penfold et al. 2018). Statistical significance was determined using two-tailed unpaired Student’s t-test for one variable comparison between two groups. Fisher’s exact test was used to compare two groups on a dichotomous categorical outcome (for grading of tissue sections). For comparisons involving a single variable in three or more groups, one-way ANOVA with Tukey’s post-hoc test was performed. All data comparing two variables (e.g. genotype, diet) were analyzed by two-way ANOVA with uncorrected Fisher’s LSD post-hoc test. For gene expression data analysis in human PCa datasets, significance was tested using Kruksal-Wallis non-parametric test. For all analyses, significance was accepted at p < 0.05.
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