Mac

CLIJ2 is a GPU-accelerated image processing library for ImageJ/Fiji, Icy, Matlab and Java. It comes with hundreds of operations for filtering, binarizing, labeling, measuring in images, projections, transformations and mathematical operations for images. While most of these are classical image processing operations, CLIJ2 also allows performing operations on matrices potentially representing neighborhood relationships between cells and pixels.

CLIJ2 was developed to process images from fluorescence microscopy data of developing cells, tissues, organoids and organisms.

Image correction software for chromatic shifts in fluorescence microscopy

Assess the performance of the lasers, the objective lenses and other key components required for optimum confocal operation.

The macro generates orthogonal projections from bead images along the lateral and axial dimensions which are displayed using a customized look-up-table to color code intensities. A Gaussian curve is fit to the intensity profile of a fluorescent bead image and full-with-at-half-maximum (FWHM) values are extracted, and listed next to theoretical values for comparison. 

This plugin allows measuring relevant parameters which helps testing, following and comparing microscopes performances. This is achieved by extracting four indicators out of standardized images, acquired from standardized samples: the estimation of the detector sensitivity, the evaluation of the field illumination homogeneity, the system resolution, and finally the characterization of its spectral registration.