Haohua Tu

Haohua Tu is a Research Assistant Professor at the University of Illinois, affiliated with the Department of Electrical and Computer Engineering within the College of Engineering. His research focuses on biomedical imaging and lasers/optical physics, particularly advancing multiphoton microscopy and nonlinear optical technologies for medical diagnostics and biomarker discovery. He develops innovative imaging systems like SCIFI (Supercontinuum Intrinsic Fluorescence Imaging) and SLAM (Simultaneous Label-Free Autofluorescence Multiharmonic) microscopy, aiming to commercialize label-free imaging solutions.

Dr. Tu's work integrates optical engineering with biomedical applications, including real-time histopathology, cancer microenvironment analysis, and photodamage monitoring. His contributions span supercontinuum generation in fiber optics, computational photon counting techniques, and deep learning-based image correction. His research bridges fundamental photonics with clinical needs, addressing challenges in early cancer detection, treatment response assessment, and intraoperative diagnostics.

Key technical areas include femtosecond laser systems, adaptive optics, and multimodal imaging approaches. His studies often involve collaborations in biomedicine and oncology, targeting applications such as breast cancer prognosis, pancreatic tumor monitoring, and urinary extracellular vesicle detection. While no specific grants or awards are mentioned, his prolific publication record reflects sustained innovation in optical imaging technologies.