Aro: a machine learning approach to identifying single molecules and estimating classification error in fluorescence microscopy images

摘要: Background Recent techniques for tagging and visualizing single molecules in fixed or living organisms cell lines have been revolutionizing our understanding of the spatial temporal dynamics fundamental biological processes. However, fluorescence microscopy images are often noisy, it can be difficult to distinguish a fluorescently labeled molecule from background speckle.