A key strength of Purdue's BME Imaging research program lies in its collaborative nature. Faculty members from various disciplines, including engineering, physics and medicine (IUSM), work together to develop cutting-edge imaging technologies and translate research findings into clinical applications. This collaborative environment fosters innovation and accelerates the path toward improved healthcare outcomes.
"Research is not measured by the time it took, nor the time of day when it was done. It is only measured by the results."
Leslie Geddes, Showalter Distinguished Professor of Biomedical Engineer Emeritus,
2006 National Medal of Technology,
Founding Director of Biomedical Engineering at Purdue University, est. 1974
Bioengineering Machine Learning Laboratory’s research includes informed machine learning, hyperspectral machine learning, biosecurity and hardware security, mHealth research, biomedical and natural metamaterials, and a fundamental understanding of light-tissue interactions.
Huang's lab delves into super-resolution microscopy, enabling researchers to visualize cellular structures and processes at unprecedented detail. This research holds immense potential for understanding diseases at the molecular level and developing targeted therapies.
The Quantitative Biomedical Imaging and Spectroscopy Lab (QBIS) uses advanced imaging and spectroscopy to understand biological processes and manipulate them for better health outcomes.
The Purdue University Cardiovascular Imaging Research Laboratory (CVIRL) aims to enhance imaging techniques for studying disease progression and improving detection and treatment across various medical conditions, including cardiac, vascular, cancer and diabetes.
This research ultimately seeks to improve human life quality by developing non-invasive imaging technologies that positively impact clinical patient care.
