Imaging Software

Bitplane – Imaris


Founded in 1992, Bitplane is a provider of software for 3D and 4D image analysis for the life sciences. Imaris is Bitplane’s core product which provides functionality for the visualisation, segmentation and interpretation of 3D and 4D microscopy datasets. Serving customers in all parts of the world, their team is dedicated to building fast, stable and intuitive products.

Website: https://imaris.oxinst.com/

Bitplane Imaris

Imaris Software

 
Imaris Software


Imaris is leading-edge interactive microscopy image analysis software. Through constant innovation and focus on 3D & 4D imaging, Imaris shapes the way scientists process microscopic images. Imaris features are bundled into packages designed to address the needs found within various disciplines of biology and imaging science.

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Imaris Software Packages

Imaris Essentials

Imaris Start

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

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

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

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

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 Stitcher - Big Data Capable

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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Imaris Software Comparison

 Imaris EssentialsImaris for TrackingImaris for Core FacilitiesImaris for NeuroscientistsImaris for Cell BiologistsImaris for Cancer Research
Imaris Core – Render 3D/4D images, detect objects, snapshot & animation
Imaris MeasurementPro –Report and interact with detected object measurements
Imaris Coloc – Visualize and quantify colocalized regions  
Imaris Vantage – Plot in 1D-4D, compare groups with statistical tests 
Imaris TrackLineage – Track motion in 2D/3D, detect divisions, create lineage tree 
Imaris Filament Tracer – Trace filamentous structures, neurons, vessels, detect spines    
Imaris Cell – Segment and analyze cells and their compartments    
Imaris XT – Customize analysis with Matlab, Python, Java, R   
Imaris Batch – Utilise saved protocols for batch analysis    
ClearView™ – GPU-accelerated deconvolutionOptionalOptionalOptionalOptionalOptional
Imaris Stitcher –Precise alignment and stitching of multiple image tilesOptionalOptionalOptionalOptionalOptional

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