A Brainy Twist to Image Analysis

Courtesy of DefiniensBromodeoxyuridine-stained tissue of mouse small intestine (original image, left; and Cellenger analysis, right). Cellenger has extracted whole crypts on a larger scale and distinguishes between mitotic and non-mitotic nuclei on a smaller scale.Propelled by the pharmaceutical industry, the high-content imaging field has experienced rapid growth, with several major new instrument releases in the past two years. High-throughput image analysis has lagged behind, however, because

Written byAileen Constans
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Courtesy of Definiens

Bromodeoxyuridine-stained tissue of mouse small intestine (original image, left; and Cellenger analysis, right). Cellenger has extracted whole crypts on a larger scale and distinguishes between mitotic and non-mitotic nuclei on a smaller scale.

Propelled by the pharmaceutical industry, the high-content imaging field has experienced rapid growth, with several major new instrument releases in the past two years. High-throughput image analysis has lagged behind, however, because current software packages cannot keep pace with the huge amount of data these systems generate, says Martin Baatz, director of business development at Munich-based Definiens http://www.definiens.com. Definiens' new Cellenger software addresses this problem, providing fully automated quantitative analysis of biological images.

Cognition Network Technology, the platform on which Cellenger is based, was developed over the past nine years by Definiens' cofounder and Nobel laureate Gerd Binnig and his team. Initially written for the geoscience community, which used it to extract interesting objects ...

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