In clinical cytogenetics, laboratory professionals analyze numerical and structural aberrations in chromosomes to diagnose genetic diseases or cancer. Deep Neural Networks (DNNs), a recent innovation in artificial intelligence, separate and classify banded chromosomes to generate karyogram proposals in Ikaros.

Sperm cells are a crucial piece of evidence for solving sexual crimes and are usually detected by microscopy. The smart scanning solution by MetaSystems automates the search for sperm cells in forensic specimens. An advanced algorithm based on a Deep Neural Network (DNN) brings the advantages of artificial intelligence (AI) to forensic microscopy. Automation of microscopic imaging can contribute to shorten turnaround times in specimen examination.

Automated workflows can be customized for occupational cancer studies and genetic toxicology (in vitro micronucleus assay and the Comet assay), for cancer genetics (karyotyping and fluorescence in situ hybridization), and for therapy monitoring (detection of rare tumor cells). Turnaround times can be reduced, and experts have more time to focus on complex tasks.