Contact Information
Urbana, IL 61801
Biography
Professor Lu received her Ph.D. in materials engineering under Brian Korgel from the University of Texas at Austin. She then moved to Boston to conduct her postdoctoral research in neuroscience with Jeff Lichtman at Harvard University. She received the NIH BRAIN Initiative K99 Award for her postdoctoral research and was a key contributor to the multi-institutional brain research projects NIH BRAIN CONNECTS and IARPA MICrONS. She will join the University of Illinois Urbana-Champaign as a faculty member in chemical biology.
Research Interests
biochemical tools for brain imaging; connectomics; spatial omics; tissue chemistry; correlated light and electron microscopy; bioimaging; systems neuroscience
Research Description
While individual neurons are themselves sophisticated processors, the true computing power of the brain emerges from the massive connections each neuron makes with thousands of other neurons (i.e., connectome). Yet, how the brain connectome gives rise to its sophisticated functions and how it is altered by neuropsychiatric diseases remain largely unknown. The Lu Lab, working at the interface of chemistry and neuroscience, focuses on developing essential biochemical tools, advanced microscopy techniques, and computation to understand brain connectivity.
Multiscale Brain Circuit Imaging
With their unique morphologies, neurons in the brain operate across multiple scales, projecting micrometer-diameter axons over millimeters or even centimeters to form nanoscale connections via synapses. Each neuron orchestrates thousands of synaptic connections, creating an extremely complex network that underlies our behaviors and thoughts. Capturing the structural features of the brain across multiple scales remains challenging. We develop novel electron microscopy and X-ray microscopy along with tissue processing methods to reveal brain circuits with greater scope and detail.
Multiplexed Molecular Labeling
Neurons exhibit extraordinary molecular diversity, which underpins their distinct ways of processing and transmitting signals. Integrating this molecular information with connectomic imaging is crucial for understanding how brain circuits function. Simultaneously labeling disease-related biomarkers further helps identify underlying abnormalities. We develop miniaturized protein binders and use them to build a multiplexed molecular imaging platform compatible with ultrastructural imaging. This approach correlates molecular and structural details for a comprehensive understanding of brain circuits in health and diseases.
Awards and Honors
NIH BRAIN Initiative Pathway to Independence Award (2022 - 2024)
Cornell FIRST Scholar (2022)
Leading Edge Fellow (2022)
UT Professional Development Award (2016)
Courses Taught
Chem 588 (Spring 2025): Physical Methods for Materials Chemistry
Additional Campus Affiliations
Assistant Professor, Chemistry
Highlighted Publications
X. Han#, X. Lu#, P. Li, Y. Meirovitch, S. Wang, R. Schalek. D. Berger, Y. Wu, T. Fang, E. S. Meral, S. Asraf, V. Jain, J. Trimmer, J.W. Lichtman#. Multiplexed Volumetric CLEM Enabled by Antibody Derivatives Provides New Insights into Cytology of Mouse Cerebellar Cortex, Nature Communications 2024, 15, 6648. https://www.nature.com/articles/s41467-024-50411-z (# corresponding)
T. Fang*, X. Lu*, D. Berger, C. Gmeiner, J. Cho, R. Schalek, H. Ploegh, J. W. Lichtman. Nanobody Immunostaining for Correlated Light and Electron Microscopy with Preservation of Ultrastructure, Nature Methods 2018, 15, 1029-1032. https://www.nature.com/articles/s41592-018-0177-x
X. Lu, C. M. Hessel, Y. X. Yu, T. D. Bogart, B. A. Korgel. Colloidal Luminescent Silicon Nanorods, Nano Letters 2013, 13 (7), 3101-3105.
Z. Zhuang, X. Lu, Q. Peng, Y. Li. Direct Synthesis of Water-Soluble Ultrathin CdS Nanorods and Reversible Tuning of the Solubility by Alkalinity, Journal of the American Chemical Society 2010, 132 (6), 1819-1821.
Recent Publications
Han, X., Lu, X., Li, P. H., Wang, S., Schalek, R., Meirovitch, Y., Lin, Z., Adhinarta, J., Murray, K. D., MacNiven, L. M., Berger, D. R., Wu, Y., Fang, T., Meral, E. S., Asraf, S., Ploegh, H., Pfister, H., Wei, D., Jain, V., ... Lichtman, J. W. (2024). Multiplexed volumetric CLEM enabled by scFvs provides insights into the cytology of cerebellar cortex. Nature communications, 15(1), Article 6648. https://doi.org/10.1038/s41467-024-50411-z
Bidel, F., Meirovitch, Y., Schalek, R. L., Lu, X., Pavarino, E. C., Yang, F., Peleg, A., Wu, Y., Shomrat, T., Berger, D. R., Shaked, A., Lichtman, J. W., & Hochner, B. (2023). Connectomics of the Octopus vulgaris vertical lobe provides insight into conserved and novel principles of a memory acquisition network. eLife, 12. https://doi.org/10.7554/eLife.84257
Lu, X., Han, X., Meirovitch, Y., Sjöstedt, E., Schalek, R. L., & Lichtman, J. W. (2023). Preserving extracellular space for high-quality optical and ultrastructural studies of whole mammalian brains. Cell Reports Methods, 3(7), Article 100520. https://doi.org/10.1016/j.crmeth.2023.100520
Pavarino, E. C., Yang, E., Dhanyasi, N., Wang, M. D., Bidel, F., Lu, X., Yang, F., Francisco Park, C., Bangalore Renuka, M., Drescher, B., Samuel, A. D. T., Hochner, B., Katz, P. S., Zhen, M., Lichtman, J. W., & Meirovitch, Y. (2023). mEMbrain: an interactive deep learning MATLAB tool for connectomic segmentation on commodity desktops. Frontiers in Neural Circuits, 17, Article 952921. https://doi.org/10.3389/fncir.2023.952921
Fang, T., Lu, X., Berger, D., Gmeiner, C., Cho, J., Schalek, R., Ploegh, H., & Lichtman, J. (2018). Nanobody immunostaining for correlated light and electron microscopy with preservation of ultrastructure. Nature Methods, 15(12), 1029-1032. https://doi.org/10.1038/s41592-018-0177-x