Compressive Plenoptic Imaging
- Technology Benefits
- High spatial and temporal resolution in 3DSimultaneous monitoring of multiple neuronsSimple optical design with no fine alignment requiredComputationally efficient methods enable real time quantification of neural activity
- Technology Application
- Optical monitoring of live tissuesMonitoring live brains in real timeResearch tool in cognitive neurosciences and neuropsychologyBrain-machine interfaces
- Detailed Technology Description
- None
- Application No.
- 17003491
- Others
-
Additional Technologies by these Inventors
- Partially Coherent Phase Recovery By Kalman Filtering
- LED array Microscopy Using Multiplexed Illumination Methods and Software
- System for Patterned Illumination Microscopy
- Optical Phase Retrieval Systems Using Color-Multiplexed Illumination
- Sparse 3D Holographic Spatio-Temporal Focusing
Tech ID/UC Case
25105/2015-188-0
Related Cases
2015-188-0
- *Abstract
-
Better understanding the brain's architecture and the behavior of neural networks requires non-invasive probes capable of monitoring brain activity at the scale of individual neurons. Functional neuro-imaging methods have the advantage of being minimally invasive and can potentially resolve individual action potentials. An ideal imaging method would be capable of quantifying many neurons simultaneously, have high spatial and temporal resolution, be non-invasive, and be accurate even in deep layers of brain tissue. There are a variety of current techniques available, many of which use mechanical scanning to reduce the effects of optical scattering and therefore have low temporal resolution.
UC Berkeley researchers have developed a device capable of quantitative functional neuro-imaging in the thick brain tissue of live animals. By combining a detection method with algorithmic data processing, this device achieves single neuron resolution and fast sampling rates with high spatial and temporal resolution.
- *IP Issue Date
- Jan 5, 2017
- *Principal Investigator
-
Name: Hillel Adesnik
Department:
Name: Nicolas Pégard
Department:
Name: Laura Waller
Department:
- Country/Region
- USA
