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Education Pattern Recognition Software and Techniques for Biological Image Analysis

By Lior Shamir, John D. Delaney, Nikita Orlov, D. Mark Eckley and Ilya G. Goldberg

Abstract

The increasing prevalence of automated image acquisition systems is enabling new types of microscopy experiments that generate large image datasets. However, there is a perceived lack of robust image analysis systems required to process these diverse datasets. Most automated image analysis systems are tailored for specific types of microscopy, contrast methods, probes, and even cell types. This imposes significant constraints on experimental design, limiting their application t

Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.292.6028
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