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Stephen R. Quake

Researcher at Stanford University

Publications -  626
Citations -  89247

Stephen R. Quake is an academic researcher from Stanford University. The author has contributed to research in topics: Transcriptome & Biology. The author has an hindex of 132, co-authored 589 publications receiving 77778 citations. Previous affiliations of Stephen R. Quake include Agency for Science, Technology and Research & Allegheny Health Network.

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Posted ContentDOI

Classifying Drosophila Olfactory Projection Neuron Subtypes by Single-cell RNA Sequencing

TL;DR: It is shown that PNs use highly redundant combinatorial molecular codes to distinguish subtypes, enabling robust specification of cell identity and circuit assembly, and a new lineage-specific transcription factor is found that instructs PN dendrite targeting.
Patent

Surface chemistry and deposition techniques

TL;DR: In this article, surface chemistries for the visualization of labeled single molecules (analytes) with improved signal-to-noise properties are provided, where analyte molecules are bound to surface attachment features that are spaced apart on the surface.
Proceedings ArticleDOI

Spectrographic Microfluidic Memory

TL;DR: In this paper, a spectrographic optofluidic memory is proposed based on photoluminescent nanoparticles at discrete intensity levels which are suspended in liquids and mixed, delivered and stored using a series of soft and hard-lithography microfluidic structures.
Proceedings ArticleDOI

On-chip absorption and fluorescence spectroscopy with polydimethylsiloxane (PDMS) microfluidic flow channels

TL;DR: In this article, the authors describe a system which integrates PDMS microfluidic flow channels, a CMOS active pixel sensor (APS) imager, and commercial light sources for performing visible absorption and fluorescence spectroscopy.
Posted ContentDOI

Molecular and genetic regulation of pig pancreatic islet cell development

TL;DR: The findings, conceptual advances, and resources detailed here show how pig pancreatic islet studies complement or surpass other systems for understanding the developmental programs that generate functional β- and α-cells, and that are relevant to human diseases like diabetes mellitus.