Shape analysis plays an important role in many kinds of biological studies. A variety of biological processes produce differences in shape between individuals or their parts, such as disease or injury, ontogenetic development, adaptation to local geographic factors, or long-term evolutionary diversification. Differences in shape may signal different functional roles played by the same parts, different responses to the same selective pressures (or differences in the selective pressures themselves), as well as differences in processes of growth and morphogenesis. Shape analysis is one approach to understanding those diverse causes of variation and morphological transformation.
It is the ideal "glue" for easily integrating dissimilar fluorescent microscope hardware and peripherals into a single custom workstation, while providing all the tools needed to perform meaningful analysis of acquired images. The software offers many user-friendly application modules for biology-specific analysis such as cell signaling, cell counting, and protein expression.
A tool for creating and analyzing realistic, meaningful, and quantifiable neuron reconstructions from microscope images. Perform detailed morphometric analysis of neurons, such as quantifying: 1) the number of dendrites, axons, nodes, synapses, and spines, 2) the length, width, and volume of dendrites and axons, 3) the area and volume of the soma and 4) the complexity and extension of neurons.
Allows analysis of image stacks of biofilms recorded by confocal microscopes. Comstat contains features for extracting a number of quantitative parameters from biomass to fractal dimensions. This tool is composed of ten features for quantitative characterization of three-dimensional biofilm images. It can be applied for performing comparative analysis of formation and development of several monospecies biofilms such as Pseudomonas putida or Pseudomonas aureofaciens.
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.
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.
Offers a platform for fractal analysis and morphology functions. FracLac is a module that can be used as an ImageJ or FIJI plugin. The application includes features such as: (i) analyzing complexity and heterogeneity, (ii) measuring difficult to describe geometrical forms; (iii) extracting of pattern from several types of images for analysis. The software is suitable for images of biological cells as well as for other structures such as branching structures or known fractals.
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.