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Lydia Ng

Researcher at Allen Institute for Brain Science

Publications -  84
Citations -  23201

Lydia Ng is an academic researcher from Allen Institute for Brain Science. The author has contributed to research in topics: Brain atlas & Image registration. The author has an hindex of 38, co-authored 84 publications receiving 17987 citations.

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A robust and high-throughput Cre reporting and characterization system for the whole mouse brain

TL;DR: A set of Cre reporter mice with strong, ubiquitous expression of fluorescent proteins of different spectra is generated and enables direct visualization of fine dendritic structures and axonal projections of the labeled neurons, which is useful in mapping neuronal circuitry, imaging and tracking specific cell populations in vivo.
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Genome-wide atlas of gene expression in the adult mouse brain

Ed S. Lein, +109 more
- 11 Jan 2007 - 
TL;DR: An anatomically comprehensive digital atlas containing the expression patterns of ∼20,000 genes in the adult mouse brain is described, providing an open, primary data resource for a wide variety of further studies concerning brain organization and function.
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An anatomically comprehensive atlas of the adult human brain transcriptome

TL;DR: A transcriptional atlas of the adult human brain is described, comprising extensive histological analysis and comprehensive microarray profiling of ∼900 neuroanatomically precise subdivisions in two individuals, to form a high-resolution transcriptional baseline for neurogenetic studies of normal and abnormal human brain function.
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A mesoscale connectome of the mouse brain

TL;DR: A brain-wide, cellular-level, mesoscale connectome for the mouse, using enhanced green fluorescent protein-expressing adeno-associated viral vectors to trace axonal projections from defined regions and cell types, and high-throughput serial two-photon tomography to image the EGFP-labelled axons throughout the brain.
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Transcriptional landscape of the prenatal human brain

TL;DR: An anatomically comprehensive atlas of the mid-gestational human brain is described, including de novo reference atlases, in situ hybridization, ultra-high-resolution magnetic resonance imaging (MRI) and microarray analysis on highly discrete laser-microdissected brain regions.