Allows image processing of electron micrographs, interpretation of reconstructions, molecular modeling, and general image processing. The Bsoft code is modularized to allow for rapid testing and deployment of new processing algorithms, while also providing sufficient infrastructure to deal with many file formats and parametric data. The design is deliberately open to allow interchange of information with other image and molecular processing software through a standard parameter file and its support of multiple image and molecular formats. The graphical user interface is the program bshow, which is used for many interactive purposes such as fitting the contrast transfer function or picking particles. Bsoft also offers various tools to manipulate atomic structures and to refine the fit of a known molecular structure to a density in a reconstruction.
Exploits volumetric data and eases research in volume rendering. Drishti implements mesh generation and coloring options. It can resample, filter, enhance contrast and trim the volumes inputted. It serves to visualize volume rendered images. This tool permits researchers to make certain regions transparent based on the surface normal. It can be applied to tomography data or electron-microscopy data.
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.
A version of the public domain image analysis software NIH Image that has been extended to handle the loading, display and analysis of scanning microscope images. Image SXM supports SAM, SCM, SEM, SFM, SLM, SNOM, SPM and STM images.
Serves for effective segmentation of multidimensional datasets. MIB can recognize several number of imaging formats and offers a variety of image processing tools. It also simplifies utilization and quantification of acquired data. It permits users to segment large datasets, to realize 3D visualization, and to quantify images and models. Its parameters enable users to insert plugin s to customize the program for specific needs.
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