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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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3D Microscopy Image Analysis Software for Cancer Research

At certain stages of searching for and evaluating new cancer therapies, whether it’s a chemotherapy, immunotherapy or radiotherapy, cell cultures or spheroids, researchers pick fluorescence microscopy to visualize the subtle and dynamic interaction and changes in the system. Imaris can directly open and visualize microscopy datasets in all formats available in the market. Imaris offers unique segmentation/object detection tools (like Spots and Surfaces) to better visualize and understand the sample in 3D.

  • Multi-channel data visualization (up to 100s of Gigabytes)
  • Automated 3D rendering
  • Multiple file formats recognized
  • Object detection
  • Algorithms appreciated by the community
  • Motion analysis
  • Interaction analysis
  • Machine learning classification of detected objects

Research that makes an Impact - Image Analysis in Use 

Image analysis with Imaris software is mentioned in over 4,000 papers a year (data from 2020). Using Imaris as an image analysis tool is well regarded in the research community, saves time to get the valuable results and often opens doors to high impact journals.

2020 - Pelon et al.

Cancer-Associated Fibroblast Heterogeneity in Axillary Lymph Nodes Drives Metastases in Breast Cancer through...
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2020 - Alladin et al.

Tracking Cells in Epithelial Acini by Light Sheet Microscopy Reveals Proximity Effects in Breast Cancer Initiation
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2020 - Dang et al.

MiR614 Expression Enhances Breast Cancer Cell Motility
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2020 - Yanagisawa et al.

A Four-Dimensional Organoid System to Visualize Cancer Cell Vascular Invasion
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2021 - Rackley et al.

The Level of Oncogenic Ras Determines the Malignant Transformation of Lkb1 Mutant Tissue in Vivo
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2021 - Heemskerk et al.

Augmented Antibody-Based Anti-Cancer Therapeutics Boost Neutrophil Cytotoxicity
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2020 - Hermida et al.

Three Dimensional in Vitro Models of Cancer
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2021 - Sabherwal et al.

Phase Register of Hes1 Oscillations with Mitoses Underlies Cell-Cycle Heterogeneity in ER+ Breast Cancer Cells
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Quantitative Image Analysis for Cancer Researchers

Image visualization and segmentation are just the first step of the in-depth image analysis in Imaris. With Imaris for Cancer Research Package you can do many more, including motion analysis, machine learning or statistics based object classification, measure interactions between objects or do that all on a large number of samples in a batch mode. Each analysis eventually leads to creation of an analytical plot showing the dependencies between your objects.

Motion Analysis
  • Speed
  • Acceleration
  • Cell division tracking
  • Trajectory
  • Time plots
Quantification
  • Number of cells
  • Area
  • Volume
  • Intensity
  • Machine learning classifier
Interactions
  • Distance to nearest neighbor
  • Volume overlap
  • Shortest Distance
  • Spatial distribution
  • Classification
Batch and Plots
  • Image processing
  • Measurements
  • Interactions
  • Comparisons
  • Speed & Efficiency

Machine Learning Classification of Cells based on Measured Parameters

Automated classification of cancer cells, immune cells or cell nuclei with a trainable Machine Learning Classifier (ML), based on selected statistic or the combination of 2 features. Classes are labelled and available for visual presentation, plotting and for downstream analysis (export of statistics). Classification and labelling of objects are batchable.

Plotting Tools and Data Mining

Imaris for Cancer Research includes a seamlessly integrated tool to explore differences between experimental groups (e.g. control vs test) - ImarisVantage. It allows for the creation of interactive plots which help illustrate relationships/patterns/differences amongst object measurement or groups of objects and reveal hidden relationships.

Additional Resources

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.

A 3D View of Glioblastoma’s Cellular Dynamics
Researchers led by Maria Alieva from the Hubrecht Institute and Princess Máxima Center for Pediatric Oncology, both in the Netherlands, have incorporated Imaris software ...
Watching New Immunotherapy Fight Cancer in Real Time
Immunotherapy is a new type of treatment that uses the body’s own immune system to fight cancer. Although it is an important treatment option for many cancers, immunothera...
Creating Impactful Scientific Animations with Imaris 10.2: Advanced Techniques for Biological Research
In biological research, effective visualisation is crucial for communicating complex scientific findings. This webinar, tailored for researchers across all biological discipline...
View more assets in the Learning Centre

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