MRI: Acquisition of a high-energy micro-computed tomography scanner for inter- and multi-disciplinary STEM research

Information

  • NSF Award
  • 1828305
Owner
  • Award Id
    1828305
  • Award Effective Date
    10/1/2018 - 6 years ago
  • Award Expiration Date
    9/30/2021 - 3 years ago
  • Award Amount
    $ 426,621.00
  • Award Instrument
    Standard Grant

MRI: Acquisition of a high-energy micro-computed tomography scanner for inter- and multi-disciplinary STEM research

An award is made to the New York Institute of Technology (NYIT) to acquire a micro-computed tomography (micro-CT) scanner for visualizing, reconstructing, and analyzing organic and inorganic objects in three dimensions. Micro-CT utilizes X-rays to reveal the internal structure of objects at the microscopic level, without having to section them. It has fostered countless transformative projects in biology, engineering, and medicine. The acquisition will enable opportunities to engage high school, undergraduate, and graduate students, as well as the general public, in science, technology, engineering, and mathematics (STEM). Faculty involved in this program will mentor high school students through NYIT's Science & Technology Entry Program (STEP), which introduces economically disadvantaged and traditionally underrepresented students to STEM fields. In addition, faculty and students in Engineering will incorporate CT-based technology into the Cultivating Resources for Employment with Assistive Technology (CREATE) program to develop technologies that help people with disabilities in their work environments. To engage with the broader community, NYIT will collaborate with "Through the Lens Initiative", an innovative science art competition, to showcase compelling 3D visualizations of student research using micro-CT data. <br/><br/>Access to the micro-CT facility will stimulate groundbreaking research in biology, paleontology, nanotechnology, engineering, and life sciences and will foster a network of collaborations among local universities, ultimately strengthening the larger scientific community. Micro-CT technology has been widely adopted across archaeological, biological, and materials sciences over the past decade. Moreover, recent methodological advancements, such as contrast-enhanced CT imaging of soft tissues, promise enduring and novel applications for the future. The new micro-CT facility at NYIT will have a significant impact on the scientific community on Long Island, one of the most academically dense areas in the U.S.A with an enormous and diverse research community. Thirty-two researchers from Long Island and the New York Metropolitan Region have already submitted projects for scanning. These projects will utilize micro-CT imaging on structures that span five orders of magnitude in size (from nano-cement to dinosaur bones), 200 million years, and a wide spectrum of organic and inorganic materials. At NYIT, these studies will promote interdisciplinary collaboration across three colleges and provide outstanding research opportunities for students at all academic levels, promoting future scientific advancements within the New York Metropolitan Region and beyond.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

  • Program Officer
    Steven Ellis
  • Min Amd Letter Date
    8/10/2018 - 6 years ago
  • Max Amd Letter Date
    8/10/2018 - 6 years ago
  • ARRA Amount

Institutions

  • Name
    New York Institute of Technology
  • City
    Old Westbury
  • State
    NY
  • Country
    United States
  • Address
    Northern Boulevard
  • Postal Code
    115688000
  • Phone Number
    5166867737

Investigators

  • First Name
    Olga
  • Last Name
    Savinova
  • Email Address
    osavinov@nyit.edu
  • Start Date
    8/10/2018 12:00:00 AM
  • First Name
    Julia
  • Last Name
    Molnar
  • Email Address
    jedwar10@nyit.edu
  • Start Date
    8/10/2018 12:00:00 AM
  • First Name
    Simone
  • Last Name
    Hoffmann
  • Email Address
    shoffm04@nyit.edu
  • Start Date
    8/10/2018 12:00:00 AM
  • First Name
    Claude
  • Last Name
    Gagna
  • Email Address
    cgagna@nyit.edu
  • Start Date
    8/10/2018 12:00:00 AM
  • First Name
    Azhar
  • Last Name
    Ilyas
  • Email Address
    ailyas@nyit.edu
  • Start Date
    8/10/2018 12:00:00 AM

Program Element

  • Text
    MAJOR RESEARCH INSTRUMENTATION
  • Code
    1189