Prof.Hanchuan Peng

Issuing time:2021-09-17 00:39

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Hanchuan Peng




Institute   for Brain and Intelligence,

Southeast   University


100-word biography:

Hanchuan Peng (Fellow,   IEEE and AIMBE; Executive & Founding Director – Institute for Brain   and Intelligence; Executive Director   – SEU-ALLEN INSTITUTE Joint Center;Adjunct Professor, University of Georgia (USA)) develops   technologies to generate, manage, visualize, analyze, and understand   massive-scale structure and function data related to brains and other   biomedical applications. Peng was the Director – Advanced Computing,   Allen Institute for Brain Science at Seattle, USA and also an Affiliate   Professor with University of Washington. Peng pioneered in building the first   Big Image Computing team of Janelia, Howard Hughes Medical Institute. He has   published in Nature, Cell, Neuron, Nature Biotechnology, Nature Methods,   Nature Neuroscience, Nature Communications, PNAS, IEEE Pattern Analysis and   Machine Intelligence and many other top-tier venues, His work has been cited   more than 20,000 times.


Whole Brain Analysis of Single Neurons


To date mesoscale analyses of the brain architecture   have shown limited detail of neuronal pathways. To understand the finer   structures of the brain, we developed a cross-validated multicenter platform   to generate high-quality reconstructions of mouse neurons with complete   characterization of their local and distal arbors at the brain-wide scale. Collaborating   with several labs that use various approaches to label neurons sparsely, we   developed technologies to extract single neuron information from whole-brain   imaging data of such sparsely labeled neurons. One key type of information is   the full-scale neuron reconstruction which is further registered to a standard   brain atlas (Allen Common Coordinate Framework). To share this resource we   produced an online gallery for video browsing and downloading of the neuronal   patterns. Further, we produced neuron morphometry of over 10,000 neurite   arbors of this dataset and the first detailed brain-wide projection arbor map   of a mouse brain. Detailed analysis of this map indicates that the global   diversity of neuron arbors correlates with the respective cell types, but   topography of neurons originated from various brain areas, including   thalamus, striatum, cerebral cortex, etc, exhibits only anatomy specific   consistency. Quantification of individual, ordered arborization patterns of   single neurons with the respective mesoscale neuronal populations   demonstrates that the diversity of anatomy-specific neurons in terms of their   morphology and projections. The microanatomy of these neurons underscores   that spatial patterning of individual neurons, but not their overall   populational projections, offers a high-resolution view of brain’s wiring   redundancy and efficiency.


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