Definiens is the leader in automated image analysis for life sciences and digital pathology. Our mission is to enable researchers and pathologists to discover and deliver new ways to impact science and healthcare by harnessing the power of our unique Cognition Network Technology®. We are headquartered in Munich, Germany with a North American office in Carlsbad, California.
Definiens has introduced its Tissue Studio 2.0, the latest version of the companys image analysis software for digital pathology and biomarker translational research
Definiens has launched version 2.0 of its LymphExpert software, a software application that assists radiology professionals in the identification, analysis and evaluation of lymph nodes in CT images over time
Definiens has introduced Definiens Tissue Studio, a digital pathology image analysis software package for translational biomarker research
Definiens has released a computer-aided detection (CAD) application that allows radiologists to identify and analyse lymph nodes volumetrically and compare them over time.
Definiens has released the latest version of its image analysis application Definiens TissueMap 3.0.
Definiens has released a multi-dimensional image analysis platform called Definiens XD.
Definiens has released Definiens TissueMap 2.0 for oncology research. The image analysis software application provides detailed, automated morphometric quantification of biomarkers of nuclei or cell bodies in epithelial tumours or xenografts.
Definiens has released the Definiens Enterprise Image Intelligence Suite 7. The latest version of the powerful image analysis platform provides life science organisations with improved data management capabilities.
As not only the HPC industry but the larger computing ecosystem tries to overcome the slowdown and eventual end of transistor scaling described by Moore’s Law, scientists and researchers are implementing programmes that will define the technologies and new materials needed to supplement, or repla
Architectural specialisation is one option to continue to improve performance beyond the limits imposed by the slow down in Moore’s Law.
As the complexity of both HPC hardware and the challenges that scientists are trying to solve using HPC systems increases, ensuring a system is utilised efficiently is necessary to deliver a computing service with value for money and a high research output.
With data rates increasing and more complex challenges arising in life sciences, Panasas’ Jim Donovan and Dale Brantly discuss the benefits of using HPC for these workloads
