I have extensive experience in data analysis and statistics solutions to interpret measurements and large datasets. I can assist you with
Statistical inference
Bootstrap methods
Cluster analysis
Machine Learning
In addition, the quality of a quantitative experiment, such as the noise of the measurements or the possible systematic errors, and its goals, such as the significance aimed at, are intimately linked to the quality of the data analysis. I will help you to carefully plan the imaging experiment and its image analysis to optimize the data analysis and reach its goals.
Maximum Likelihood Estimate (MLE) of the probability distribution P describing the separation of centroid positions of diffraction limited objects imaged by fluorescence microscopy (Churchmann, et al., 2006). This MLE was used to determine the true separation μ between proximal fluorophores. The MLE was computed on the coreset (red histogram) of the original dataset (grey histogram) to estimate the separation between distinct fluorophores imaged in close proximity (Picco, et al., 2017).Mean Square Displacement plot of the movement of six single Fonticula Alba cells. The Mean Square Displacement was used to determine the average cell velocity for each cell (Toret, et al., 2022).
