Society for Neuroscience 2008
Minisymposium on High-Throughput Microscopy and Computational/Theoretical Challenges in the Analysis of Neural Circuit Structure
This minisymposium will survey the latest advances in high-throughput microscopy methods that enable the imaging and analysis of neural microcircuits on the scale of whole small animal brains. The massive amounts of data produced by these microscopy instruments pose serious computational challenges. These computational issues, together with emerging solutions that enable a truly quantitative science of brain networks, will be discussed at this minisymposium.
Talks
- 504.1: Chair
Introduction [PPT]
- 504.2: Louise C. Abbott (Texas A&M)
High-throughput imaging of whole small animal brains with the Knife-Edge Scanning Microscope [PPT]
- 504.3: Kristina D. Micheva (Stanford)
Array Tomography for Probing Molecular Architecture of Neural Circuits [PPT]
- 504.4: Kenneth Hayworth (USC)
Automated creation and SEM imaging of Ultrathin Section Libraries: Tools for large volume neural circuit reconstruction [PPT] [MPG movie]
- 504.5: Randal A. Koene (Boston U, Fatronik Institute)
Using phantom data generated with NETMORPH to assess the functional significance of errors and omissions made during automated network reconstruction [PDF]
- 504.6: A. Ravi Rao (IBM TJ Watson)
High-performance computing techniques for neuro-image analysis [PDF]
- 504.7: Yoonsuck Choe (Texas A&M)
Fast algorithms for the reconstruction and analysis of basic circuits in the mouse cortical maps [PDF]
- 504.8: Co-chair
Closing remarks and open discussion (see last couple of pages in [PDF])
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