EurekAlert -- Researchers in Carnegie Mellon University’s Lane Center for Computational Biology have discovered how to significantly speed up critical steps in an automated method for analyzing cell cultures and other biological specimens.The new technique, published online in the Journal of Machine Learning Research, http://jmlr.csail.mit.edu/, promises to enable higher accuracy analysis of the microscopic images produced by today’s high-throughput biological screening methods, such as the ones used in drug discovery, and to help decipher the complex structure of human tissues.
