Bioimage informatics

Outline The incessant development of improved microscopy imaging techniques, as well as the advent of highly selective fluorescent dyes has made possible the precise identification of tagged molecules in almost any biological specimen. Of particular interest are the visualization and the study of living cells, which induce tight constraints on the imaging process. To avoid the alteration of the sample and to achieve a high temporal resolution, low fluorophore concentrations, low-power illumination and short exposure time need to be used in practice. Such restrictions have a tremendous impact on the image quality. This is why we have recently introduced a new method, coined PURE-LET [1,2,3], for efficient, fast, and automatic denoising of multidimensional fluorescence microscopy images.

This plugin calculates the optic flow for each pair of images made with the given stack.

This plugin provides an extended depth of field algorithm to obtain in focus microscopic images of 3D objects and organisms using different algorithms: Sobel, variance, real and complex wavelets.

Manually selecting line ROIs and align two images. 

Six 2D differential operations are implemented in this ImageJ plugin. - Gradient Magnitude - Gradient Direction - Laplacian - Largest Hessian - Smallest Hessian - Hessian Orientation