Cores

Microscopy Core

The Biomedical Research Core Facility (BRCF) is located on Level A in the BSRB, and provides state-of-the-art microscopes and technical expertise to perform high resolution imaging of cells and tissue, including morphology and ultrastructure.  Confocal microscopes include the Leica Inverted SP5 Confocal Microscope System with 2-Photon FLIM, Leica SP8 2-Photon Confocal with FLIM and FCS, Nikon A-1 Confocal Standard Sensitivity, Nikon A1 High Sensitivity Confocal, Nikon A1SI Confocal, and Nikon X1 Yokogawa Spinning Disk Confocal.  Electron Microscopes include the JEOL JEM 1400 -+ Transmission Electron Microscope (TEM).  High resolution imaging systems include the Light Sheet Microscope Zeiss Lattice Light Sheet 7.  Multiphoton microscopes include the Leica SP5 Upright Multiphoton and Leica SP8 Inverted Multiphoton.  Super Resolution Microscopes include the Leica 1X STED and the Nikon Structured Illumination Microscope.  Widefield Microscopes include the Deltavision-RT Live Cell Imaging System, Leica DMIRE Inverted Widefield Microscope, Nikon E800 Upright Epifluorescence Microscope, Olympus SZX16, and Zeiss Apotome.  Core staff is available to train and assist users on the proper use of these systems for image acquisition, reconstruction, and analysis.

Michigan Institute for Data Sciences (MIDAS)

The Michigan Institute for Data Sciences (MIDAS) is an institutionally supported, umbrella organization that advances cross-cutting research in data science theory, methodology and applications across campus and provides infrastructure and research support.  MIDAS works with a large number of industry, academia, government and non-profit organizations to ensure that data science and AI research is enabled by real-world data and inspired by real-world challenges, and that research outcomes are translated into products, services and policies for positive social change.  MIDAS provides leadership in research best practices, including reproducible data science and ethical data science.  Research is enabled through pilot funding, training and dataset access.  MIDAS provides groundbreaking ideas and fosters collaboration through research working groups and other research incubation events.  The MIDAS research support focuses on a set of “pillars” at any given time in order to achieve maximum impact, while supporting Data Science and AI research across the University broadly.  TR&D3 will use MIDAS to design signal/image processing and machine learning methods to create computer-assisted image analysis and interpretation and in clinical decision support systems that improve patient care and reduce the costs of healthcare.  

Advanced Research Computing (ARC)

The Advanced Research Computing (ARC) environment provides resources for research computing to faculty at the University of Michigan and their collaborators.  ARC offers High Performance Computing, machine learning, storage, data, and private/public cloud analytical resources.  ARC’s professional dedicated IT staff monitors and maintains all systems for security and stability as well as provide end-user support, training, and outreach.  The "Great Lakes" supercomputer has a Linus cluster of over 16,000 cores, a large memory of over 1.5 TB/node, and GPU accelerators.  "Great Lakes" provides a full application and software development library of over 100 titles of both open source and commercial tools.  For storage, ARC provides "Turbo", an HHD array of high speed storage of over 10PB of capacity.  In addition, "Data Den" can be used for massive-capacity and long term data archive as a tape-based storage system that provides over 20PB of replicated capacity.  The University of Michigan networking is built upon the research backbone, which provides redundant multiple 100Gbps connections between University data centers and key research resources, including the P41 Imaging Center.