Fangjia Li
Fangjia Li
Biography
Dr. Fangja Li is a post doctorate research associate in the Cell Signaling and Communications team in PNNL’s Environmental Molecular Sciences Division and the Environmental Molecular Sciences Laboratory (EMSL) user program. Li focuses on quantitative fluorescence microscopy and single cell analysis in the molecular level. Recently, he is using single molecule-based fluorescence imaging techniques, such as fluctuation localization imaging-based fluorescence in situ hybridization (fliFISH), using stochastic optical reconstruction microscopy principles to understand cellular response to lanthanum chromium oxide nanoparticles at the molecular level and heterogeneous expression patterns of marker genes in pancreatic islet cells.
During Li’s PhD, he worked on femtosecond laser measurement and four-wave maxing at the Shanghai Institute of Optics and Fine Mechanics, and at Tongji University. Afterward, he studied the mechanical system of cells using förster resonance energy transfer (FRET)-based biological tension sensors with self-upgraded fluorescence lifetime imaging microscopy at the South Dakota School of Mines and Technology and Indiana University-Purdue University in Indianapolis, Indiana.
Research Interest
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Nonlinear Optics
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Femtosecond Laser
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Super-Resolution Microscopy
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Light-Sheet Microscopy
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Fluorescence Lifetime Imaging Microscopy
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Confocal Microscopy
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Molecular and Cellular Biology
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Machine Learning
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Deep Learning
Education
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PhD in Optics, Tongji University
Affiliations and Professional Service
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The Center for Sustainable Nanotechnology
Patents
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J. Liu, F. J. Li, and R. X. Li. “Method and apparatus for femtosecond laser pulse measurement based on transient-grating effect.” US Patent 9,488,525.
Publications
2020
Y. Fan, A. Jalali, A. Chen, X. Zhao, S. Z. Liu, M. Teli, Y. X. Guo, F. J. Li, J. R. Li, A Siegel, L. X. Yang, J Liu, S. S. Na, M. Agarwal, A. G. Robling, A. Nakshatri, B. Y. Li, and Hiroki Yokota, Skeletal loading regulates breast cancer-associated osteolysis in a loading intensity-dependent fashion. Bone Res 8, 9 (2020).
2019
F. J. Li, Andy Chen, S. Z. Liu, A. Reeser, Y. Wang, Y. Fan, X. Y. Zhao, Mr. R. Prakash, D. Kota, B. Y. Li, H. Yokota and J. Liu, “Vinculin Force Sensor Detects Tumor-Osteocyte Interactions. Sci Rep-Uk 9, (2019).