Metasystems Hard & Software Gmbh

Other

Meta System S.p.a.

Vysis, Inc.

Thomas Lörch

Ian Poole

Andreas Plesch

James R Piper

Siegfried Hänselmann

Oskar A Haas

Methods are provided for efficient training of convoluted neural networks using computer-assisted microscope image acquisition and pre-classification of training images for biological objects of interest. The methods combine use of an automated scanning platform, on-the-fly image analysis parallel to the scanning process, and a user interface for review of the pre-classification performed by the software.

System and method for detection and classification of objects of interest in microscope images by supervised machine learning

An automated or semi-automated process to prepare karyotypes from metaphase cell images with improved accuracy involves the use of deep convoluted neural networks for both chromosome segmentation and chromosome classification.

Methods for automated chromosome analysis

A method and/or system for making determinations regarding samples from biologic sources. A computer implemented method and/or system can be used to automate parts of the analysis.

Method and/or system for analyzing biological samples using a computer system

The present invention is relative to a method for the purposeful application of at least one reagent onto immobilized biological material as well as to a diagnostic kit containing small-area, local covers on which at least one reagent is fixed for contact hybridization.

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Reilingen, Germany

Thomas Lörch