Life Sciences

	Cell-based Assays
	Tissue-based Drug Discovery
	Tissue-based Diagnostics

Medical Imaging

Image analysis with Definiens Cellenger: individual cells outlined in green, nuclei outlined in red. Micronuclei are outlined in orange…

Image Analysis in Life Sciences

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The entire healthcare industry is undergoing a revolution. The focus is shifting away from a uniform approach to diagnosis and treatment relying on ‘blockbuster’ drugs. In its place, there is a growing emphasis on the early detection of disease and the delivery of personalized medicine.

To develop the most effective treatments requires an understanding of the complete healthcare landscape – from life sciences research to clinical diagnostics and treatment. This imperative is driving convergence in the industry and lies behind the recent wave of mergers, acquisitions and alliances… If you want to read more, please download our

White Paper 'Healthcare Industry Convergence'.

A fundamental part of the rationale for convergence is translational medicine. Translational medicine seeks to harness the diverse sources of research and clinical data from every stage of the drug development lifecycle. It brings early-stage research into closer proximity with patient care. The aim is to create a virtuous bi-directional feedback loop in which the findings of clinical trials and patient care help to direct early-stage research into the most fruitful avenues… If you want to read more, please download our

White Paper 'Definiens in Translational Medicine'.

As more than 70 per cent of all data generated in the life sciences is in image form, image analysis is critical to the success of translational medicine and plays a vital role at every stage of drug development, including:

The measurement of cell-based assays
The examination of tissue-based assays in drug discovery / histopathology
The examination of tissue-based assays in diagnostics / histopathology
The interpretation of medical / non-invasive imaging