Research & Discovery
Seeing the Unseen: Professor Zheng, Peers, Develop Novel Endoscopic High-Res Imaging Technique
The new lensless process, called Synthetic Aperture Ptycho-Endoscopy (SAPE), uses an advanced imaging process to capture bending patterns of light through a bundle of ultrathin optical fibers
UConn Departments Collaborate to Enhance Quantum Science Education for Connecticut Students
Faculty from the departments of Chemistry, Curriculum & Instruction, and Digital Media and Design host professional development for K-12 teachers
Snapshot: A Voyage to the Only Marine National Monument in the U.S. Atlantic
'This begins the real focus on how communities of marine wildlife operate in the absence of significant direct human impacts'
$3.34 Million USDA Grant Supports Development of Organic Poultry Industry
This new grant focuses on multiple objectives to advance the safety, efficiency, and economic outlook for organic poultry farming
B-cell, Begone! This Protein May Protect Against Immune Malfunction
Researchers at UConn Health look for ways to defuse B-cells gone bad
Porcine Hydrogels Hold Potential Key for Regenerative Engineering
Dr. Cato T. Laurencin leads team researching a gap in regenerative engineering that could be solved with material collected from pig skeletal muscle
Understanding what Makes Ticks Tick Through Their Spit
Andrei Abarientos ‘26 (CAHNR) is interning this summer at Rocky Mountain Laboratories, a National Institutes of Health laboratory, to learn about a unique aspect of this harmful insect
CAHNR Alum Tyler Gavitt Uses Science to Design Vaccines and Foster Open Public Health Discussion
From transformational research experiences, to basketball championships and chocolate chip cookie dough ice cream, three-time UConn alum Tyler Gavitt shares his UConn journey and where it's taken him
New Grant Focuses on Improving Meat Quality
CAHNR researchers will investigate if Vitamin E as a dietary supplement can improve the meat from cattle with hypertension
Of Mice and Machine Learning
Varun Chamarty ’26 (ENG) hopes that machine learning will help researchers make discoveries that they might otherwise not be able to see, using new tools to build on a growing body of neuroscientific research