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.

Optimizing the counting of FISH spots can be a challenging task for laboratories in cytogenetics and hematology. By customizing the functionalities of the slide scanning software Metafer, it is possible to replace manual FISH spot counting with a swift workflow involving automated microscopy and interpretation by the expert.

Sperm cells are a crucial piece of evidence for solving sexual crimes and are usually detected by microscopy. Using deep learning algorithms implemented in the Metafer slide scanning software, MetaSystems has put together a workflow that brings the benefits of artificial intelligence to the field of forensic microscopy.