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SELECTBIO Conferences Lab-on-a-Chip and Microfluidics Europe 2020

Amy Shen's Biography



Amy Shen, Professor, Okinawa Institute of Science and Technology

Amy Shen is a professor in Micro/Bio/Nanofluidics Unit at Okinawa Institute of Science and Technology in Japan (https://groups.oist.jp/mbnu). She was a faculty member at Mechanical Engineering and Chemical Engineering at University of Washington before moving to Japan in 2014. Amy's research is focused on fluid manipulations at small length scales, with applications in micro/nanofluidics and biosensors. Some of her recent work include micro/nanofluidic based immunoassays, novel micromixing phenomena, and localized surface plasmon resonance (LSPR) sensors for lab-on-a-chip devices. Amy is an honor member of Phi Kappa Phi and Pi Tau Sigma. Amy received Ralph E. Powe Junior Faculty Enhancement Award in 2003 and the National Science Foundation's CAREER Award in 2007. Amy was also a Fulbright Scholar in 2013.

Amy  Shen Image

Glioma on Chips: Analysis of Glioma Cell Guidance and Interaction in Microfluidic-Controlled Microenvironments Enabled by Machine Learning

Wednesday, 9 September 2020 at 09:00

Add to Calendar ▼2020-09-09 09:00:002020-09-09 10:00:00Europe/LondonGlioma on Chips: Analysis of Glioma Cell Guidance and Interaction in Microfluidic-Controlled Microenvironments Enabled by Machine LearningLab-on-a-Chip and Microfluidics Europe 2020 in Rotterdam, The NetherlandsRotterdam, The NetherlandsSELECTBIOenquiries@selectbiosciences.com

In biosystems, chemical and physical fields established by gradients guide cell migration, which is a fundamental phenomenon underlying physiological and pathophysiological processes such as development, morphogenesis, wound healing, and cancer metastasis. Cells in the supportive tissue of the brain, glia, are electrically stimulated by the local field potentials from neuronal activities. How the electric field may influence glial cells is yet fully understood. In this talk, I will present some recent research activities in my group to probe how electric fields in the microenvironment affect the migration of glioblastoma cells by using a versatile hybrid microsystems. To accurately analyze label-free cell migration, a machine learning software, Usiigaci, is developed to automatically segment, track, and analyze single cell movement and morphological changes under phase contrast microscopy. The hybrid microfluidic tools can enable us to elucidate fundamental mechanisms in the field of the tumor biology and regenerative medicine.


Add to Calendar ▼2020-09-09 00:00:002020-09-10 00:00:00Europe/LondonLab-on-a-Chip and Microfluidics Europe 2020Lab-on-a-Chip and Microfluidics Europe 2020 in Rotterdam, The NetherlandsRotterdam, The NetherlandsSELECTBIOenquiries@selectbiosciences.com