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We propose an adaptive multiresolution (MR) approach for classification of fluorescence microscopy images of subcellular protein locations, providing biologically relevant information. These images have highly localized features both in space and frequency which naturally leads us to MR tools. Moreover, as the goal of the classification system is to distinguish between various protein classes, we...
We describe a method designed to detect fluorescent rods from 2D microscopy images. It is motivated by the desire to study the dynamics of bacteria such as Shigella. The methodology is adapted from a super-resolution spot detection algorithm and is based on a parametric model of the rods and the microscope PSF. The algorithm consists of two parts: 1) a pre-detection step, based on thresholding a score...
A new probe for scanning near-field optical microscopy (SNOM) that exploits field concentration at a metal tip allows to image single dye molecules at a resolution far beyond the diffraction limit. This probe combines the high resolution of the apertureless SNOM with the single molecule sensitivity of the aperture SNOM. An image of single Cy-3 fluorophores covalently attached to the termini of DNA...
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