Three-dimensional image surfacing software tools | Laser scanning microscopy image analysis

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 modular software tool for efficient quantification of biological tissues based on volume data obtained by biomedical image modalities. TiQuant includes a number of versatile image and volume processing chains tailored to the analysis of different tissue types which have been experimentally verified. It implements a novel method for the reconstruction of three-dimensional surfaces of biological systems, data that often cannot be obtained experimentally but which is of utmost importance for tissue modelling in systems biology.

Allows users to visualize, analyze and restore neuronal morphologies reassembled from microscopy stacks. NeuroMorphoVis is a framework composed of five principal modules for (i) data handling, (ii) simulation of three-dimensional somata profiles, (iii) building, repair and analysis of morphological skeletons, (iv) creation of polygonal surface meshes and (v) reconstruction of volumetric models that reflect the geometrical description of the skeletons.

An interactive Qt4 analysis tool for attaching the intrinsic root coordinate system to 3-D confocal recordings of the Arabidopsis root apical meristem. This allows quantitative comparative studies of root populations in a sound and intuitive context. iRoCS Toolbox consists of the data browser labelling and a set of command line tools for batch processing. Main features are: (i) 3-D Visualization of the volume in an orthographic view; (ii) manual annotation of anatomical reference structures (QC, nuclei); (iii) automatic detection and annotation of cells and/or nuclei with several meaningful properties, like position, radius, tissue, cell file, cell cycle state, volume; (iv) full control. Any step can be manually corrected and re-fed into the modeling; (v) retrieval and localization of key events like cell divisions.

Computes a 3D triangular mesh of the tissue. DRACO-STEM is based on the dualization of a simplicial complex of adjacency, and the triangulation and optimization of the resulting polyhedral geometry to proceed. This tool follows three steps for the processing: delaunay complex creation, adjacency complex optimization and dual reconstruction. It was applied to triangular tissue meshes generated from a dataset of segmented tissue images.