2016
DOI: 10.1111/jmi.12446
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Biostatistical analysis of quantitative immunofluorescence microscopy images

Abstract: Semiquantitative immunofluorescence microscopy has become a key methodology in biomedical research. Typical statistical workflows are considered in the context of avoiding pseudo-replication and marginalising experimental error. However, immunofluorescence microscopy naturally generates hierarchically structured data that can be leveraged to improve statistical power and enrich biological interpretation. Herein, we describe a robust distribution fitting procedure and compare several statistical tests, outlinin… Show more

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Cited by 5 publications
(4 citation statements)
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“…The analysis is also able to explicitly take into the heterogeneity of variance by allowing for different variances to be fit to each condition. The measure possesses an excellent Type I error rate when used for multi-channel data as shown using permutation testing [ 20 , 42 , 43 ]. For the analysis of power and phase-amplitude coupling, treatment time (baseline, 6h, 24h) was treated as a within-subjects factor, while for connectivity, treatment and hemisphere (left, right) were treated as within-subjects factors.…”
Section: Methodsmentioning
confidence: 99%
“…The analysis is also able to explicitly take into the heterogeneity of variance by allowing for different variances to be fit to each condition. The measure possesses an excellent Type I error rate when used for multi-channel data as shown using permutation testing [ 20 , 42 , 43 ]. For the analysis of power and phase-amplitude coupling, treatment time (baseline, 6h, 24h) was treated as a within-subjects factor, while for connectivity, treatment and hemisphere (left, right) were treated as within-subjects factors.…”
Section: Methodsmentioning
confidence: 99%
“…Dot blots were analyzed using factorial analysis of variance (ANOVA) to compare the main effects of temperature regime and lectins and the interaction of temperature regime and lectin type on lectin expression. Values from microscopy images were analyzed using the mean value of images from individual samples as replicates (four to five images per sample, n = 12–15 images per lectin) and quantified image values were log‐transformed according to Giles et al (2016). Microscopy image values were analyzed using factorial ANOVA to compare the main effects of temperature regime and lectin type and the interaction of temperature and lectin type on the log‐transformed normalized density.…”
Section: Methodsmentioning
confidence: 99%
“…To obtain a reliable measure of statistical significance for wavelet bicoherence, a surrogate method is employed [40]. First, generating a random variable θ ∈ [−π, π]and…”
Section: Wavelet Bicoherence and Qpcmentioning
confidence: 99%
“…Specifically, the gamma-band LFPs play a critical role in the visual information processing. For example, the higher gamma rhythms are mostly linked to the fastspiking visual neurons [22]; the orientation selectivity in V1 of awake monkey is modulated by gammaband LFPs [23]; the distinct bands (30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40) Hz for low gamma and 60-80 Hz for high gamma) of stimulustriggered gamma oscillations are systematically linked to the orientation selectivity index of neurons in the cat primary visual cortex [24]. Therefore, studying the gamma-band LFPs is of great significance to understand the mechanism for generating the orientation selectivity.…”
Section: Introductionmentioning
confidence: 99%