Micronuclei Application Module classifies cells based on nuclear morphology for genotoxicity applications but is also ideal for cell health or multi-nucleated cell populations with additional markers for analysis of apoptosis, necrosis or to distinguish any small structure next to a large one such as a yeast bud.

• Highly accurate classification of cells (micro-, mono-, bi-, or multi-nucleate) achieved with proprietary algorithm to discriminate phenotypes based on cell morphology, number of nuclei, distance of micronuclei from nucleus, micronuclei vs. "blebs" or "buds".
• Only requires a single fluorophore (nuclear stain) to identify cells in various classifications, eliminating the requirement for a cytoplasm stain, thereby reducing sample preparation, image acquisition and analysis time.
• Use of two additional fluorophores facilitates further phenotypic analysis, such as transfection markers to identify transfected cells or kinetochore markers to differentiate micronuclei originating from clastogens (which create acentric chromosomal fragments) or from aneugens (which cause whole chromosomal losses).

Neurite Outgrowth Application Module is designed to measure and characterize outgrowths, the extension of processes from