Neurotechnology for multiphysical, massively-multiplexed interrogation of brain circuit activity

Highly collaborative development and application of new tools for neuroscience permitting highly-multiplexed 3-D sampling of spatiotemporal "fields" within the brain to reveal information in the electrical, chemical and mechanical domains on an unprecedented scale. We are involved in close, intense, and very exciting collaborations involving multiple universities, and research & clinical institutions in the U.S. and abroad. Our collective efforts span from fundamental neuroscience, to device physics, to large-scale integration of nanosystems and foundry-based engineering & fabrication en masse.

Worldwide dissemination of massively-multiplexed neurotechnology for brain curcuit interrogation

With support awarded by the NIH BRAIN Initiative, we are engaged in microelectronics foundry-based mass production of advanced nanoprobes, specialized ASIC chips, ultraflexible cables for animal headstages, and back-end controller electronics. This effort is being carried out in close collaboration with Professor Ken Shepard's group at Columbia University. Complete next-gen systems will be widely disseminated to interested neuroscience collaborators worldwide. Please stay tuned for more information... but feel free to contact Prof. Roukes if you and your research group are interested in participating in this exciting effort and employing this advanced technology in your research.

Microfluidic embedded single organism calorimetry

Optimization and application of a new form of mass spectrometry and biomolecular shape analysis involving arrays of nanomechanical pixels, which enables single-molecule studies of protein complexes.

Information and Non-equilibrium Thermodynamics at the Nanoscale

Fundamental physics and device engineering of nanoelectromechanical systems.

Nanosystems VLSI

The Alliance for Nanosystems VLSIis an international collaboration working to realize the promise of nano-based tools, which provide a new level of functional complexity possible only through very-large-scale integration.