Neon, a tool for flexible and consistent image and case data management, represents the backbone of MetaSystems workstations. Neon was designed to collect data from different sources and integrate them into an efficient and well structured workflow. Neon reliably manages cases, images, and results of Metafer systems, individual Ikaros and Isis workstations, as well as large multiuser installations. It guarantees that all relevant information is visible whenever and wherever it is needed. Neon's powerful and flexible workflow settings integrates seamlessly with existing routines and can be applied to the complete range of MetaSystems imaging applications.

With the brand-new web-based software Neon@Web by MetaSystems, all the advantages of Neon can now be accessed remotely. Neon@Web runs on Internet browsers, requires no additional hardware, and provides secure access to locally installed Neon environments.

Metafer, MetaSystems' slide scanning platform, offers a unique combination of selected scanning hardware and outstanding imaging software, resulting in the most versatile and robust system available for microscope imaging automation.

The karyotyping system Ikaros and the the professional fluorescence imaging module Isis combine an intuitive graphic user interface with a variety of powerful on-screen karyotyping and fluorescence imaging tools to provide highest flexibility.

Gram staining is the rapid, easy, and inexpensive method for the assessment of specimen quality, providing early information regarding potential pathogens present in patient samples. Implementation of the Gram Scanner into the laboratory workflow will revolutionize one`s daily routine. The system scans, digitizes and archives – where requested – up to 800 slides in one batch.

Deep learning techniques can potentially support interpretation of digital Gram images. To match the growing demand for workload reduction and efficiency increase in the review process of Gram stained slides we have integrated deep learning-based object classification using convolutional neural networks (CNN) with our automated scanning platform Metafer to create a unique Gram slide screening environment.

Rapid diagnosis of Tuberculosis (TB) is critical for initiation of treatment and infection control. Sputum Smear Microscopy (SSM) of acid fast bacilli is still the most common TB diagnostic test globally because of its simplicity and associated low costs. The Mycobacteria Scanner is a scalable system adjustable to the individual needs of your laboratory and able to scan and analyze 8 to 800 slides in one batch. Auramine or Ziehl-Neelsen stained Mycobacteria are detected and counted automatically using objective and reproducible criteria.

Respiratory samples are highly viscous and are difficult to handle for laboratories. These challenging samples can fast and easily be liquefied with the DTT-free Liquillizer reagent.

The DMI Bacteremia Kit allows direct identification of the clinically most relevant bacteremia causing pathogens from positive blood culture.

Multiplex hybridization kit for direct identification of the clinically most relevant nosocomial pneumonia causing pathogens from native respiratory patient samples.

The robust and secure SlideFeeder x80 is a robotic system which has been designed by MetaSystems. It is built especially for use with the Metafer slide scanning
platform in a high throughput environment. SlideFeeder x80 extends the capacity to up to 800 slides, allows for 24/7 operation, and comes with a bar code reader and an automated immersion oil dispenser.

MetaSystems introduces CoolCube 1, a digital high resolution progressive scan CCD camera combining superior technical features
with an attractive price. CoolCube 1 is available as a monochrome version (CoolCube 1m) or as a Bayer-mask color version (CoolCube
1c).

With the new camera model CoolCube 4, MetaSystems introduces the first ultra-high resolution camera supported by the Metafer slide scanning platform. Using a 1.1" CMOS chip with a pixel size of only 3.45 μm x 3.45 μm, all CoolCube 4 cameras acquire images with the size of 4,096 x 3,000 pixels.