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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Atlanta, GA | Posted: October 9, 2012
Georgia Tech Media Relations
Laura Diamond
laura.diamond@comm.gatech.edu
404-894-6016
Jason Maderer
maderer@gatech.edu
404-660-2926
Summary Sentence:
Research aims to enhance personalized medicine capabilities.
Full Summary:
An interdisciplinary team from the Georgia Tech, MIT and the Allen Institute for Brain Science was awarded a $4.3 million National Institutes of Health grant.
Craig Forest robotic neural recordings
Craig Forest, PhD - Assistant Professor, Mechanical EngineeringAn interdisciplinary team from the Georgia Institute of Technology, Massachusetts Institute of Technology and the Allen Institute for Brain Science was awarded a $4.3 million National Institutes of Health grant. Led by Edward Boyden (associate professor, Media Lab and McGovern Institute, MIT), Hongkui Zeng (senior director, research science, Allen Institute for Brain Science), and Craig Forest (assistant professor, Woodruff School of Mechanical Engineering, Georgia Tech), the team will undertake a five-year effort (2012-2017) to develop new precision robotics, as well as relevant methods of use, that will enable biologists and clinicians to automatically assess the gene expression profile, shape and electrical properties of individual cells embedded in intact tissues such as the brain.
By enabling the automated characterization of cells in complex organ systems, the technology will empower scientists across biology to map the cell types present in organ systems (e.g., brain circuits) in disease states, enabling new mechanistic understandings of disease and enabling new molecular drug targets to be identified. These robotic tools will also enable new kinds of biopsy analysis and diagnostic, helping empower personalized medicine in arenas ranging from epilepsy to cancer, to utilize information about cellular diversity in disease states to improve patient care.
The grant was awarded through the National Eye Institute (NEI) of the National Institutes of Health (NIH) under Award Number R01EY023173.
