Ikaros becomes even more intelligent! The next generation of the karyotyping system will bring artificial intelligence into the routine. New classifiers, trained with deep learning methods, take care of the tedious part of analysis preparation.

Mindful that laboratories are not a one-size fits all, MetaSystems offers reliable and robust digital microbiology solutions customized to meet laboratories of all sizes. Our solutions are versatile for different microbiology applications such as Gram, Mycobacteria, and Ova & Parasites.

Standardization is a highly important goal in the design of pre-clinical toxicology tests. The slide scanning platform Metafer has proven to be the most versatile and reliable tool to automate the analysis of OECD compliant tests like the erythrocyte micronucleus test (#474,1997), the in vitro micronucleus test (#487, 2004), the in vivo mammalian alkaline Comet assay (#489, 2014), and the chromosome aberration test (#473, 1997).

Metafer is a highly versatile slide scanning platform, which bears many advantages for the setup of high-throughput routine Comet assay workflows.

The slide scanning platform Metafer of MetaSystems has been acknowledged as the most reliable, and the fastest system to automate scoring of dicentric chromosomes, micronuclei, and foci in biodosimetry assays. Due to its flexible architecture, Metafer analyzes samples of all assays on the same hardware platform.

Sperm cell detection is a widely used forensic analysis tool in the investigation of sexual assault crimes. MetaSystems has developed a new Deep Neural Network (DNN) algorithm, which brings the advantage of Artificial Intelligence into the automated sperm detection domain.

The compelling diversity of diatoms, but also their importance for environmental monitoring makes it desirable to have an automated, simple, and fast solution for imaging and archiving of diatom samples. Since diatoms have a distinct three dimensional structure, imaging at high magnifications should also involve the acquisition of focus stacks.

White blood cells (WBCs) differential count is a widely performed hematological test for blood cancers diagnostic, inflammation and infection diseases detection. MetaSystems has developed a new algorithm based on a Deep Neural Network (DNN), and trained with thousands of pre-classified data, for an AI-assisted classification of WBCs.

The analysis and quantification of micronuclei in vitro is a  widely performed test for fast detection of DNA  damage in cells exposed to ionizing radiation or genotoxic chemical agents. MetaSystems has developed a  new Deep  Neural  Network  (DNN) algorithm, trained with thousands of pre-classified data, which brings the advantages of Artificial Intelligence to the detection of MN cells on Giemsa-stained slides.

Ever-growing workloads and quality standards have constantly increased pressure on hospital staff worldwide. Spot counting automation tools provided by MetaSystems enable users to meet or even exceed these demands by allowing integrated documentation and efficient workflows.