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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 visualization 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 customization in Matlab, Java or Python.
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Imaris provides an integrated environment for visualising and analysing multidimensional microscopy data, supporting cell biology workflows from qualitative exploration through to quantitative measurement. It enables users to reduce manual processing effort through semi-automated and automated tools, improving consistency across experiments. Its ability to handle large datasets is particularly relevant for modern high-resolution imaging techniques. The platform supports advanced segmentation and tracking, which are critical for understanding dynamic cellular processes.
Imaris for Cell Biologists provides multiple options to detect and model your biologically relevant structures via step-by-step wizards with a preview of the results at each point in the workflow.
Imaris for Cell Biologists is the most powerful commercial software for live cell tracking & analysis. It rises to the challenge of monitoring temporal changes in biological systems. Users have a choice of multiple sophisticated automatic tracking algorithms, manual tracking options as well as an intuitive and interactive track editing tool.
After segmenting the image data Imaris calculates a wide range of statistics for all detected objects: Cells, 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.
Imaris for Cell Biologists 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.
The software supports tracking of cells and intracellular processes in time-lapse datasets. This enables analysis of dynamic behaviours such as migration and division. Tracking tools help quantify changes over time.
Imaris enables segmentation and analysis of structures within cells. This allows detailed investigation of organelles and intracellular processes. It supports deeper insight into cellular function and organisation.
Imaris supports analysis of datasets with multiple fluorescent channels. This enables correlation of different biological markers within the same sample. Multi-channel workflows support complex experimental designs.
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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