Advances in imaging techniques and high-throughput technologies are providing scientists with unprecedented possibilities to visualize internal structures of cells, organs and organisms and to collect systematic image data characterizing genes and proteins on a large scale. To make the best use of these increasingly complex and large image data resources, the scientific community must be provided with methods to query, analyze and crosslink these resources to give an intuitive visual representation of the data.
A plugin for bone image analysis in ImageJ. BoneJ provides free, open source tools for trabecular geometry and whole bone shape analysis. It calculates several trabecular, cross-sectional and particulate parameters in a convenient format. Java technology allows BoneJ to run on commodity computers, independent of scanner devices, fully utilising hardware resources. ImageJ’s plugin infrastructure provides a flexible working environment that can be tailored to diverse experimental setups. BoneJ is a working program and a starting point for further development, which will be directed by users’ requests and the emergence of new techniques.
Allows users to visualize 3D/4D/5D image and to analyze system for bioimages and surface objects. Vaa3D consists of a container of modules for 3D image analysis (cell segmentation, neuron tracing, brain registration, annotation, quantitative measurement and statistics) and data management. Moreover, this platform can be used for developing 3D image analysis algorithms for high-throughput processing.
Allows to visualize confocal microscopy data. FluoRender can preserve original fluorescence intensity values on graphics hardware and supports far more than three Red-Green-Blue (RGB) channels. It permits to proceed analysis of many channels of volume data from mutant-control scans and to construct anatomical atlases. The tool allows to visualize simultaneously 96 independent channels without convertion into RGB channels or pseudosurfaces.
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.
Automates analysis of neuronal morphologies in immuno-fluorescence images. SynD intends to assist users in quantifying dendrite and synapse characteristics. The application performs successively the detection of soma, neurites, and synapses. It can be used to enable the simultaneous analysis of multiple morphological features and permits the screening of genetic and pharmacological treatments.
Allows users to implement and assemble control software for custom-built microscope systems. Helio provides a framework, built around a collection of components arrangeable according user needs, which can support multiple hardware and functional combinations. The application is able to handle a wide range of laser-scanning including galvanometric scan mirrors or resonant scanners as well as camera images.