Allows users to manage image data, results and derived data, and image analysis protocols. Imaris permits to tag resources as a search across all experiments or a specific set of experimental groups. It contains several features allowing to: (1) visualize volume images and objects, (2) identify objects according to their morphology, intensity, and more, (3) validate segmentation, (4) interact with objects, (5) create pictures and stunning animations.
Assists users with the annotation of massive and multi-view data. MaMuT is a hybrid and extension of two Fiji plugins: the BigDataViewer visualization engine and the TrackMate annotation engine. It can be used either for manual or semi-automated tracking of selected populations of cells of interest, or for visualization and editing of fully automated computational predictions for systems-wide lineage reconstructions.
Serves for visualizing electron tomography data. Tomviz can utilize the large quantities of memory and processing resources required to render, manipulate, and analyze voluminous 3D tomograms. It provides a graphical user interface (GUI) where objects can be rendered as shaded contours or volumetric projections. This tool also offers a set of functions such as multiple datasets, colormaps, and other visualization settings.
An automated workflow for processing large multiview, multi-channel, multi-illumination time-lapse selective plane illumination microscopy (SPIM) data on a single workstation or in parallel on a HPC cluster. The pipeline relies on snakemake to resolve dependencies among consecutive processing steps and can be easily adapted to any cluster environment for processing SPIM data in a fraction of the time required to collect it.
An open access and user friendly 3D automatic quantitative analysis tool for single plane illumination microscopy (SPIM) data. OpenSegSPIM is designed to extract quantitative relevant information from SPIM image stacks, such as the number of nuclei/cells and provide quantitative measurement (volume, sphericity, distance, intensity) on light sheet microscopy (LSM) images. Typically, it is a useful quantitative analysis tool for different biological samples such as neurospheres, zebrafish embryos, drosophila embryos, skin sample, mouse embryos and other organotypic cell culture. The OpenSegSPIM pipeline consists of a succession of step each one being enabled once the previous step has been completed. To provide a simple interface OpenSegSPIM minimizes the number of parameters without loss of segmentation quality. Furthermore, parameter input is an interactive process. For example, image smoothing is done in a few steps and the user only needs to measure the diameter of the nuclei. To facilitate the difficult step of parameter tuning the intermediate results are visualized in real time and can be evaluated.
Simplifies lattice light sheet data processing. LLSpy automates: the detection of experimental parameters from the data folder structure and metadata, and the choice of optical transfer functions (OTFs). It can conduct image corrections and manipulations, and simplifies file handling. This tool provides functions such as drag-and drop queue or visual progress indicator. It can be used with a graphical user interface or a command line interface.
Provides a root system architecture characterization software. ARIA is based on a mathematically rigorous approach of converting root images into graphs. It automates phenotyping with the potential of adding additional features. This tool completes large phenotyping experiments required for many quantitative genetic studies. It is able to analyze 2D flat plane images and 3D images of roots.