A Center for Sensorimotor Neural Engineering public lecture, featuring:
Eva L. Dyer, Ph.D.
Rehabilitation Institute of Chicago, Northwestern University
Neuroscientific discovery is becoming increasingly powered by high-throughput imaging methods. Extracting knowledge from these data is still challenging, due to the complexity of data acquisition, size of the raw datasets, and scarcity of "ground truth" or training data. This talk will focus on current efforts to build knowledge extraction pipelines, which span from initial image formation and data collection, all the way to building abstractions or models that encapsulate the structure or function of interest. In particular, an image analysis pipeline that has recently developed, which uses X-ray microtomography to build large-scale brain maps with cellular (micron) resolution, will be discussed. Following this, a description of efforts to scale this system up to create whole brain maps will be presented. This requires optimizing each stage of the pipeline (i.e. sample preparation, data acquisition, image reconstruction and analysis) in addition to building effective strategies for feeding back information extracted at later stages of analysis to improve data acquisition and reconstruction.