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Optics and the Brain

07 - 10 April, 2024


Optics and the Brain (Brain)

  1. Optics in the Human Brain and Spinal Cord
    • Diffuse Optical Spectroscopy (DOS), Diffuse Optical Tomography (DOT) 
    • Speckle measurement of blood flow, Diffuse Correlation Spectroscopy (DCS), Speckle Contrast Optical Spectroscopy (SCOS)
    • Brain computer interfaces
    • Intrasurgical brain optical imaging
    • Fiber-optic probes, spectroscopy and endoscopic imaging
    • Optical modulation of the human central nervous system
    • Retinal neuroscience
    • Vascular and metabolic modeling
    • Clinical applications
    • Translational optical agents (optogenetics, calcium indicators, molecular probes)
  2. Physiology and Brain Disease
    • Application of optical spectroscopy and imaging systems to the study of the brain in both health and disease (i.e., Alzheimer’s, stroke, epilepsy, etc.)
    • Models of brain disease and optical tools
    • Photothrombosis
    • Optical therapeutics
    • Photodynamic therapy
  3. Advanced High Speed, Volumetric and Large Field-of-view Optical Imaging and Manipulation
    • Light sheet microscopy
    • Point spread function engineering and light sculpting (Temporal Focusing, Bessel, structured illumination Airy, etc.)
    • Volumetric and large-scale imaging
    • Optical tools for high precision optogenetic manipulation
    • Voltage imaging
  4. High Resolution Structural Techniques
    • Fluorophore design and optimization
    • Clearing techniques and structural imaging, animal to human
    • Applications of super-resolution
    • Particle tracking
    • uCT and electron microscopy
    • Connectomics
    • Other emerging structural and connectivity inference technologies
  5. Neuronal Data and Brain Network Analysis Tools
    • Hybrid theoretical-experimental approaches to network analysis
    • Tools for large-scale neuronal data extraction data analysis and dimensionality reduction
    • Models of neuronal network dynamics
    • Deciphering functions from activity data
    • Applications of machine learning in neuronal data and networks
    • Optical data management
  6. Molecular and Genetic Tools for Capturing and Controlling Brain Function
    • Optode and electrode hardware for excitation and/or recording
    • Genetically encoded calcium indicators and other molecular sensors
    • Genetically encodable voltage sensors
    • Novel forms of functional contrast
    • New genetic strategies for optogenetics
    • Modeling and overcoming scatter in optogenetics
    • Challenges of scaling up optogenetics to non-human primates
    • Voltage sensitive dyes
  7. Imaging in Scattering Tissue and Deep Tissue Imaging
    • Adaptive optics strategies
    • Three- or multiphoton strategies for deep tissue imaging
  8. Hybrid Optical Approaches and Computational Imaging
    • Photoacoustics / optoacoustics
    • Acousto-optic approaches
    • Acoustic modulation of neural activity
    • Combined optical / PET / CT / MRI
    • Combined electrical / optical
    • Computational imaging, light field microscopy and non-imaging forming optical systems
    • Multiscale imaging of brain activity
    • Hybrid electroencephalographic / optical microscopy
  9. Naturalistic Brain Imaging: Observing the Brain Under Freely Moving and Ethological Conditions
    • Head-mounted miniaturized microscopes and wearable imaging systems
    • Imaging in freely moving and interacting animals
    • Functional near infrared spectroscopy (fNIRS)
    • ‘Hyperscanning’ — simultaneous measurement of multiple brains
    • Imaging in virtual reality system
    • Miniature microscopes with optogenetics
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