Imaris Essentials
The Imaris Essentials Package is an interactive visualization and analysis software for 3D and time-lapse microscopic images with
advanced solutions for big datasets (Terabyte range) – smart Volume and Surface rendering based on our multi-resolution technologies,
plus Surface calculations for images of unlimited size. Imaris Essentials Package is perfect for researchers who need an easy to use
software for making stunning Snapshots and Animations, generating quantitative information from their microscopy data, object to
object distance and overlap measurements, co-localization studies, plotting and statistical analysis. Imaris Essentials package
includes easy to use Machine Learning Object Classifier and Labels.
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Imaris for Tracking
Imaris for Tracking provides interactive processing, visualization and analysis software for 3D and 4D microscopic images.
Featuring state of the art volume rendering, plus object detection and tracking tools Imaris for Tracking is perfect for
researchers who want to automatically analyze moving objects including those that divide over time, create a lineage tree plot
and generate quantitative information from their image data.
It now includes ground breaking technology introduced in Imaris 9 to address the major bottleneck of today’s image analysis –
effective quantification and Surface visualization of objects within datasets of hundreds of gigabytes.
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Imaris for Core Facilities
Imaris for Core Facilities is our recommended image analysis software package for microscopy facilities, larger labs and multi-user environments.
Imaris is the market-leading visualization and analysis software for widefield, confocal (including spinning disk), light sheet, two-photon,
electron microscopy, CLEM, OPT and many other modalities with over 4,000 publications in 2020 alone. Imaris for Core Facilities provides smart
detection and visualisation of complex objects, tracing of neurons, blood vessels and other filamentous structures, 3D tracking (including cell
division detection), interactive plotting and batch analysis.
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Imaris for Neuroscientists
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 – innovative 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 customisation in Matlab, Java or Python.
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Imaris for Cell Biologists
The Imaris for Cell Biologists package is ideal for researchers in several life science disciplines who require a broad range of
functionalities to study cells and organisms. In addition to Imaris’ proven 3D/4D visualisation and analysis tools, Imaris for
Cell Biologists provides the functionality for smart cell-based segmentation, analysis on a per cell basis and discovery of
intracellular relationships. The package includes automated tracking, detection of cell division and creation of interactive
lineage trees along with statistical tests and a two-way interface for customisation in Matlab, Java or Python.
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Imaris for Cancer Research
Imaris for Cancer Research is an ideal package for researchers who want to visualize their microscopy data and study tumor samples
in cell cultures, spheroids or tissues. For time-lapse datasets Imaris for Cancer Research offers excellent tracking algorithms including
cell division events and integrated tools to plot all measurements synchronised with cell divisions.
Imaris enables visualization and virtual dissection of 3D data. Imaris for Cancer Research includes a variety of spatial interaction
measurements, such as: distribution of objects around a Surface, shortest distance, volume overlap and nearest neighbour analysis. All
measurements are highly reproducible and can be performed in the batch mode (automatically repeat the same analysis protocol for multiple
samples) to save valuable time on the analysis.
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