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The Imaris Essentials Package is an interactive visualisation and analysis software for 3D and time-lapse microscopic images with advanced solutions for big datasets, 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-localisation studies, plotting and statistical analysis.
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Imaris Essentials delivers a streamlined approach to visualising and exploring microscopy datasets, helping users move from raw image data to meaningful insight. It lowers the barrier to entry for 3D/4D visualisation while maintaining the trusted Imaris environment. The software supports efficient workflows for researchers who need clarity without complexity. Its intuitive tools reduce the time required to interpret large datasets. Integration within the broader Imaris ecosystem allows future scalability. It is particularly suitable for labs beginning advanced image analysis workflows.
Imaris Essentials provides a complete set of features for visualisation of multi-channel microscopy datasets from static 2D images to 3D time series regardless of their size and format. Using Imaris Essentials users can:
Use Imaris 3D Surfaces to precisely visualize and measure shapes of various objects within your samples such as organelles, nuclei, biofilms, cells, tissues, organs, embryos, tissues as well as whole organisms.
Imaris Essentials offers multiple ways to study interactions between biological structures based on their distribution in the 3D space. Imaris Essentials includes Coloc - the most powerful co-localization analysis tool to quantify and document co-distribution of multiple stained biological components.
Imaris Essentials 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.
With Imaris 11, you can effortlessly create a customized image analysis protocol (Workflow) tailored to your specific research area and requirements. These Workflows can be saved and applied to other datasets with just one click, streamlining your analysis process. Discover how Workflows can accelerate your journey from microscopy data to meaningful insights, impactful publications, and engaging conference presentations.
The software supports a range of imaging workflows, from exploratory visualisation to advanced quantification and tracking. Its modular structure allows users to apply relevant tools depending on their experimental needs.
Imaris Essentials includes core 3D rendering capabilities for microscopy datasets. These enable users to visualise volumetric data clearly and interactively. This supports improved spatial understanding of samples.
The software supports visualisation of 4D datasets, including time-lapse imaging. Users can explore dynamic biological processes over time. This helps reveal changes that are difficult to interpret in static images.
Designed for accessibility, the interface simplifies navigation and interaction with complex datasets. Users can quickly learn the system and begin working productively. This reduces onboarding time for new researchers.
Cell Biology is areas of research in life sciences that focus on the fundamental processes of life. Cell biology encompasses a broad range of research areas and applications such as apoptosis, cell cycle & cell division, DNA damage, plant cell biology, vesicle trafficking, in vitro studies etc. As for model organisms, cell biology investigates them all, from the most simple prokaryotes (bacteria) to single-cell eukaryotes (yeast, fungus) and even multicellular organisms.
Basic cancer research combines several aspects of studying cancer cell phenotypes, gene expression and interactions with the microenvironment in vitro and in vivo to better understand carcinogenesis, malignancy and develop new potential therapies. Cancer research often requires applying advanced fluorescence microscopy to study cancer cell behaviour interaction with the environment and spatial distribution of the tumour models in a time lapse.
Developmental Biology are areas of research in life sciences that focus on the fundamental processes of life. Developmental biology studies the process by which multicellular organisms grow and develop. Research focuses on processes such: as metamorphosis, embryonic development, tissue growth, morphogenesis, stem cell differentiation, embryogenesis, plant development and regeneration. Research in these areas is done both on a microscopic and molecular level, and multiple technologies are needed to successfully accomplish this work.
Neuroscience is a multidisciplinary branch of science focused on the study of the nervous system and how the brain works. The field studies nervous system functions, brain function and the related structures such as the spinal cord. It combines anatomy, physiology, cytology, molecular biology, developmental biology and modelling in order to understand neurons and neuronal circuits. As neuroscientists often balance on the cutting edge of science, they require sophisticated methods such as fluorescence labelling, optogenetics, photostimulation and state of the art image analysis.
Automated classification of detected objects (cells, nuclei, vescicles) 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).
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