Profile picture for Yang Liu

Contact Information

4047 Beckman Institute
405 N Mathew Ave, M/C 251
Urbana, IL 61801
Professor

Research Interests

Label-free quantitative phase imaging, super-resolution fluorescence microscopy, and multiscale spatial omics to study cancer initiation and drug resistance


 

Research Description

The laboratory of Dr. Yang Liu focuses on developing multiscale optical microscopy techniques, spanning from nanoscale to mesoscale, to advance precision medicine. We work on improving the imaging speed, throughput and precision of label-free quantitative phase imaging (QPI) and single-molecule localization-based super-resolution microscopy, via new instrumentation and computational imaging. We couple label-free high-content imaging of morpho-dynamics with highly multiplexed fluorescence and super-resolution imaging to study a broad range of biophysical properties of chromatin organization, nuclear lamina, and nuclear pore complex in normal and pathological states and understand how cancer initiates and how cancer cells develop resistance as a response to therapeutic agents.

Education

Ph.D., Biomedical Engineering, Northwestern University, 2006
M.S., Chemistry, University of Chicago, 2001

Additional Campus Affiliations

Professor, Bioengineering
Professor, Electrical and Computer Engineering
Professor, Biomedical and Translational Sciences
Professor, Beckman Institute for Advanced Science and Technology

Recent Publications

Chen, M., Ma, H., Sun, X., Schwartz, M., Brand, R. E., Xu, J., Gotsis, D. S., Nguyen, P., Moore, B. A., Snyder, L., Brand, R. M., & Liu, Y. (2025). Multimodal whole slide image processing pipeline for quantitative mapping of tissue architecture and tissue microenvironment. NPJ Imaging, 3(1), Article 26. https://doi.org/10.1038/s44303-025-00088-w

Ma, H., Nguyen, P., & Liu, Y. (2025). A Versatile Drift-Free Super-Resolution Imaging Method via Oblique Bright-Field Correlation. Advanced Science, 12(7), Article 2412127. https://doi.org/10.1002/advs.202412127

Cang, H., Liu, Y., & Xing, J. (2024). Mosaic-PICASSO: accurate crosstalk removal for multiplex fluorescence imaging. Bioinformatics, 40(1), Article btad784. https://doi.org/10.1093/bioinformatics/btad784

Hu, C., Lee, S. A., Liu, Y., Park, Y. K., So, P. T. C., & Zhou, R. (2024). Quantitative phase imaging: introduction. Journal of the Optical Society of America A: Optics and Image Science, and Vision, 41(11), QPI1-QPI2. https://doi.org/10.1364/JOSAA.545808

Liu, Y., & Uttam, S. (2024). Perspective on quantitative phase imaging to improve precision cancer medicine. Journal of biomedical optics, 29, S22705. https://doi.org/10.1117/1.JBO.29.S2.S22705

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