COR²E Facility Open House & Vendor Show
Monday, October 2, 2023, 11am to 1pm
Reverse Engineering Fabrication Inspection and Non-Destructive Evaluation (REFINE)
Contacts
Staff
Ali Hadjikhani, Ph.D.
Lab Manager
-
- ali.hadjikhani@uconn.edu
Bahar Ahmadi
Image Processing Specialist
-
- bahar.ahmadi@uconn.edu
Joe Favata
X-Ray Specialist
-
- joseph.favata@uconn.edu
Valery Ray
FIB/SEM Technologist
- vray@partbeamsystech.com
978.305.0479
Alicia Cascella
- alicia.cascella@uconn.edu
Nick
Faculty Scientific Advisers
Sina Shahbazmohamadi, Ph.D.
Assistant Professor
- sina@engr.uconn.edu
860.486.8194
Location
Campus Address
Innovation Partnership Building
Mailing Address
159 Discovery Drive
Storrs, CT 06269
Instrumentation
Smartzoom 5
Wide-field confocal microscope designed for fast, precise, and repeatable surface analysis. Provides topographic information that guides further analysis with other lab microscopes.
Smartproof 5
Fully automatic digital microscope for quick topographic analysis. Utilized before and after SEM/Fib in order to obtain larger scale information.
Micrion Vectra 986+
Ion beam integrated circuit editing.
Orion Nanofab
Helium and neon ion microscope capable of high resolution fabrication and imaging.
Crossbeam 340 w/ Laser
An FE-SEM/FIB/fiber laser system capable of high-resolution 3D analytics. Combines multi-scale milling and imaging.
Xradia Microtomography XCT-400 Machine
This equipment provides 3D non-invasive imaging of internal microstructures and porosity at micron to submicron resolution. This instrument is unique in that it uses x-ray attenuation combined with phase imaging to provide high contrast images in soft and hard materials at different length scales. This enables the non-destructive imaging of inclusions/pores/fibers within structures, with relevance to materials applications, as well as in vitro imaging of individual cells in biofilms/animals/plants, with relevance to life science applications.
Xradia Versa 520
Non-destructive X-ray CT imaging system with in situ testing capabilities. Images are reconstructed forming a 3D tomographic data set with high resolution.