During the summer of 2006 I worked with Linda Shapiro and the vision group at the University of Washington, researching ways to develop a new image classification subsystem to reduce the number of images that require human viewing.
Automated Classification of Potein Crystallization Images
Protein crystallography provides access to structural information with atomic resolution for macromolecules such as DNA, RNA, saccharine and proteins. This structural information helps biologists to understand the function of the macromolecular systems investigated. Understanding structure-function relationships can then also help projects aiming at blocking or improving the properties of biomacromolecules. Crystallographers go through several essential experimental steps. Then the crystallographers identify the successful experiments that yield mountable crystals. Better automation enables researchers to prepare and run more experiments in a shorter time.
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"The reasonable man adapts himself to the conditions that surround him ... The unreasonable man adapts the conditions that surround him to himself...Therefore all progress depends upon the unreasonable man."--George Bernard Shaw
