- Mean Diameter
- Branching Angle
- Spine Density
The Imaris for Neuroscientists package is the perfect combination of tools for researchers working in various neuroscience disciplines. Imaris enriches advanced 3D/4D visualization and analysis methods with Filament Tracer - best in class software for an automated detection of neurons including spines and other filamentous structures in 2D/3D or 4D datasets, measurements, object tracking, plotting, group comparisons with statistical tests and two-way interface for customization in Matlab, Java or Python.Request Pricing
Microscopy image analysis requires precise detection of multiple biological structures based on the initial signal saved as an image data. Object detection in Imaris will be quick and easy as users are guided within a wizard driven interface to create perfect models of their data. With our patented Torch™ tool and several performance improvements tracing neurons with Autopath or Autodepth in dense and thick samples is very efficient and becomes a unique experience.
Automatic neuron tracing is guided within the wizard based interface – starting point and seed points along the filament are detected with just few mouse clicks.
Autopath method is recommended for tracing filamentous structures in big datasets of multiple GBs in size (up to 1 TB tested) and dense networks like cleared samples, cleared tissues, entire brains or vasculatures.
Another method recommended for analysis of big datasets of multiple GBs in size (up to 1 TB tested) and dense networks like cleared samples, cleared tissues, entire brains or vasculatures.
Surface objects can be created over the boundaries of objects of different shapes and sizes, like cells, nuclei, nucleoli, brain structure or a filament while the Spots objects are used to model point-like or vesicle-like structures in the data and to quickly identify thousands of structures.
Regardless of which filament tracing method is chosen (wizard driven automatic tracing or an Autopath/Autodepth mode) dendritic spines can be automatically detected and precisely modelled based on the threshold.
Imaris provides a complete set of features for visualization of multi-channel microscopy datasets from static 2D images to 3D time series regardless their size and format. Using Imaris for Neuroscientists users can:
After segmenting the image data Imaris calculates a wide range of statistics for all detected objects: Filaments, Surfaces and Spots. All values can be used for color coding, plotted inside Imaris (using Vantage plots) or exported in an .csv or .xls file format. Parameters presented below are the most common statistic types needed by biologists. Imaris reports many more.
This package is about much more than just tracing. With the inclusion of various Imaris modules, you can experience complete analysis freedom during your experiments.
Imaris Vantage plotting tool enables to visualize segmented objects on multi-variate scatterplots to discover hidden relationships between object statistics.
Imaris Track included in Imaris for Neuroscientists offers a variety automatic tracking methods which can best fit the type of motion.
Imaris XT module is particularly useful for scientists who write image analysis application code in Matlab or Python and for everybody who has sophisticated image analysis needs which are not fully covered by Imaris main functionality. Imaris XT provides:
The Imaris Learning Center hosts a wide range of tutorial videos, how-to articles and webinars to guide you through the many features of Imaris. We have provided some links below which will get you started on some of our most recent developments.