ImarisCell is an Imaris module specifically designed for the analysis of 2D, 3D, and 4D images of cells and their components. ImarisCell enables researchers to qualitatively and quantitatively examine micro relationships that exist between cells. ImarisCell also allows researchers to map organelles and other cellular components within individual cells, then examine the relationships between those components.

All known living organisms are composed of cells. ImarisCell now allows you to use this natural and universal unit when doing your image analysis work. ImarisCell can identify individual cells in addition to their nuclei and vesicles, thus enabling statistics on a per cell as well as per intracellular component basis. With ImarisCell, the fundamental unit of analysis has changed from a single image to clusters of cells, individual cells, or components of cells. This evolution prevents unnecessary generalizations caused by the limitations of single image analysis and facilitates specificity at the biological level of detail dictated by your research.

ImarisCell goes beyond what other image processing programs can do by using the biologist's concept of cells and applying topological constraints on the detection of organelles. It encapsulates Bitplane's powerful image analysis algorithms and simple yet high-level creation wizards to manage the detection, display and editing of multiple objects (i.e. Cells, Nuclei and Vesicles). As always, Bitplane provides an interactive 3D interface with real time previews, interactive sorting and object selection using: filters, graphs, statistics tables, or by selecting directly within the image.

ImarisCell provides the platform necessary for 4D analysis (tracking 3D structures over time) which allows changes in size, shape, intensity, and position to be examined between cells or between organelles within a cell. This provides researchers with the opportunity to examine communication mechanisms as well as mechanical and structural functions of cells and cell components.