There are two major types of deconvolution approaches--deblurring and restoration algorithms. Deblurring algorithms remove blur but treat a series of optical sections as individual two-dimensional entities and therefore sometimes mishandle blurred light. Restoration algorithms determine an object that, when convolved with the point-spread function of the microscope, could produce the image data.
Allows deconvolution and visualization of image sets. AutoQuant is a package of 2D and 3D restoration algorithms that permits users to improve the resolution and contrast of images that have undergone distortions during the image acquisition process, for thus improving their analysis. Users can choose the algorithm that fits their requirements.
Analyzes, processes and visualizes multi-dimensional microscopy images. BioImageXD puts open-source computer science tools for three-dimensional visualization and analysis into the hands of all researchers, through a user-friendly graphical interface tuned to the needs of biologists. BioImageXD has no restrictive licenses or undisclosed algorithms and enables publication of precise, reproducible and modifiable workflows. It allows simple construction of processing pipelines and should enable biologists to perform challenging analyses of complex processes.
Serves for two-dimensional (2D) and three-dimensional (3D) non-negative, iterative, deconvolution. Iterative Deconvolve 3D is based on the DAMAS algorithm and supplies different iterations. It restricts the point spread function to a translationally-invariant form. This tool can produce 2D deconvolution for each slice in the image stack and process the images separately.
Allows users to calculate the three-dimensional point spread function of a diffraction-limited microscope. Diffraction PSF 3D is an ImageJ plug-in that is based on an analytical derivation using Fraunhofer diffraction. It aims to supply sample data that can be used with Convolve 3D and Iterative Deconvolve 3D software. This tool provides option that can be used to examine the lower levels of the point spread function (PSF).
Aims to experiment with 3D deconvolution microscopy. DeconvolutionLab gathers a fast Fourier transform (FFT), some pluggable algorithms and an accommodating user interface. It permits the deconvolution of large biological images. This tool is able to process data relevant to real biological applications. It provides three functions: (1) data-fidelity measure; (2) regularization prior; and (3) minimization algorithm.
Restores images from microscopic data. Huygens is based on the deconvolution approach that reassigns out-of-focus light to its origin, thus improves signal-to-noise in images. It can use physically-acquired or simulated point-spread functions (PSFs) for characterization of optical system being deconvolved. The tool shows high-performance in in-house tests on deconvolution compared to other software packages. It provides intuitive wizards for parameter selection and processing.
Estimates super resolution images of biological structures. DeconSTORM is a method for analyzing data from fluorescence microscopy. The software relies on statistical prior knowledge to guide image estimation, but it differs from compressive sensing. It analyzes the full fluorescence data set rather than a subset of well-isolated emitters, and thus allows a high density of activated fluorophores/imaging frame.