The Structural Circuits Core offers state-of-the-art anatomical mapping of neural circuits through automated use of brain clearing technology paired with meso- and micro-scale imaging of the central nervous system
The SCC offers cutting-edge anatomical mapping of neural circuits involved in addiction. Integrated with the University Imaging Center and utilizing the UMN Informatics Institute, the SCC also provides infrastructure for automated use of brain clearing technology paired with meso- and micro-scale imaging of the CNS, coupled with computational approaches to mine information from the resulting large sets of data. This Core will provides investigators with a set of powerful tools to establish the anatomical connectivity of discrete elements of neural circuits (e.g. neurons that express a specific molecular marker or activate an immediate-early gene during a particular behavioral epoch). These elements can be genetically tagged with a fluorophore, but antibody labeling in cleared, whole-brain tissue is also an option (or a combination). An important feature of the SCC is the capability to generate powerful quantitative datasets by registering sets of individually imaged brains from a given treatment condition.
cleared tissue light-sheet imaging of td-Tomato-labeled interneurons in a mouse cerebrum and hippocampus
From the laboratory of Dr. Amy Yi-Mei Yang, the University Imaging Centers at the University of Minnesota presents cleared tissue light-sheet imaging of td-Tomato-labeled parvalbumin interneurons in a mouse cerebrum and hippocampus segment. The tissue was both cleared by PEGASOS and imaged on the 3i Cleared Tissue Light-Sheet microscope by the University Imaging Centers
Tissue Clearing and Imaging Pipeline
Paul Mermelstein, PhD Dr. Mermelstein is a Professor in the Department of Neuroscience in the University of Minnesota Medical School.
Sarah Heilbronner, PhD Dr. Heilbronner is an Assistant Professor in the Department of Neuroscience in the University of Minnesota Medical School.
Mark Sanders, PhD Dr. Sanders is the program manager for the UMN Imaging Center (UIC). He provides leadership in the formulation, development and implementation of the University-wide shared multi-scale microscopy facility.
Thomas Pengo, PhD Dr. Pengo is the Associate Director of the UMN Informatics Institute (UMII). His role is both to provide direction for UMII and to provide image analysis services for any researcher at UMN. His background in computer engineering and he has over a decade of experience in image analysis makes him ideally suited for guiding the development and coordination of the computational platform.