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.
Surfaces
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.
- Representations of a specified region of interest in the data set
- Calculated based on global or local threshold or created based on user-defined regions of interests
- Can be calculated and visualized for data sets up to terabytes in size
- Act as a container from which all the desired statistics can be calculated
Spots
Use Imaris Spots to detect: particles, protein clusters, vesicles, nucleoli, nuclei, centrosomes, cells and bacteria.
- Model point-like or vesicle-like structures in the data.
- Can be identified in images with 10s or 100s of thousands of objects.
- XYZ coordinates of each objects are calculated, relative distances to other objects can be measured
- Can be tracked in time (5 high performance motion algorithms)
Cells with Organelles
Use Imaris Cell for smart detection of cells based on cytoplasm or plasma membrane labelling. Cytoplasm, nucleus, nucleoli and various populations of vesicles can be detected and analyzed within a complete cell object.
- Segments multiple biological components simultaneously (e.g. cells based on membrane or cytoplasm labels, nuclei, lysosomes, vesicles)
- Performs image analysis on a per cell basis (e.g. number of vesicles per cell, distance of each vesicle from cell boundary)
- Measures relative distance from vesicles or other organelles to cell membrane or nuclei border
Membrane Labelling
Use Imaris Cell for detection of objects where the fluorescent signal is located only on their surface (i.e with membrane or cell wall labelling only). Model the exact shape and report measurements such as volume or surface area for closely touching cells.
- Precisely segments touching or sparse objects like cells with plasma membrane, nuclear envelope or cell wall staining only
- Inspects the quality of segmentation in all directions using 2D slicers
- Counts objects within the specified region of interest (whole dataset or subset)
- Reports morphological measurements such as volume, bounding box length and sphericity