학술논문

Methods and algorithms for extracting high-content signatures from cells, tissues, and model organisms
Document Type
Conference
Source
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on. :1712-1716 Mar, 2011
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
Robotics and Control Systems
Image segmentation
Proteins
Image analysis
Microscopy
Algorithm design and analysis
Biomedical imaging
High-content screening
cell tracking
segmentation
tissue quality
fluorescence microscopy
zebrafish
Language
ISSN
1945-7928
1945-8452
Abstract
While high-content screening is already playing an important role in drug discovery, a growing number of academic laboratories are applying these techniques to conduct a system-level analysis of biological processes. In this context more complex assays and model systems are being imaged at higher throughput. Examples include co-culture assays, tissues, and entire model systems, as for example zebrafish. This summary presents examples of methods and algorithms that have been developed at GE Global Research that facilitate the quantitative analysis of such complex specimens. 1