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BioImageXD
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.
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Interfaces cryo-transmission electron microscopy (cryo-EM) data collection with computer image processing. Focus creates a user-friendly environment to import and manage data recorded by direct electron detectors and perform elemental image processing tasks in a high-throughput manner, while new data is being acquired at the microscope. It provides the functionality required to remotely monitor the progress of data collection and data processing, which is essential now that automation in cryo-EM allows a steady flow of images of single particles, two-dimensional crystals, or electron tomography data to be recorded in overnight sessions. The rapid detection of any errors that may occur greatly increases the productivity of recording sessions at the electron microscope.
Register Virtual Stack Slices
Provides a method for elastic and consistent registration of histological sections. Register Virtual Stack Slices is an ImageJ plugin that uses a sequence of image slices stored in a folder, and offers a list of registered image slices (with enlarged canvas). It can perform six types of image registration techniques: (i) translation, (ii) rigid (translation + rotation), (iii) similarity (translation + rotation + isotropic scaling), (iv) affine, (v) elastic and (vi) moving least squares.
cisTEM / Computational Imaging System for Transmission Electron Microscopy
Permits the treatment of cryo-electron microscopy (cryo-EM) images of macromolecular complexes. cisTEM is able to extract high-resolution 3D reconstructions form these images. It can deal with movies, micrographs and stacks of single-particle images, implementing a complete pipeline of processing steps. This tool is based on a maximum-likelihood algorithm. Users can define a combination of particle image stack, alignment parameters and a 3D reference structure.
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