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Zhen Qiu

Researcher at University of Edinburgh

Publications -  15
Citations -  490

Zhen Qiu is an academic researcher from University of Edinburgh. The author has contributed to research in topics: Synapse & Noise reduction. The author has an hindex of 8, co-authored 15 publications receiving 317 citations. Previous affiliations of Zhen Qiu include Heriot-Watt University.

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Architecture of the Mouse Brain Synaptome

TL;DR: Genetic labeling and imaging methods to examine synaptic proteins in individual excitatory synapses across all regions of the mouse brain revealed spatial architecture from dendritic to global systems levels and previously unknown anatomical features.
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A brainwide atlas of synapses across the mouse life span

TL;DR: Although synapse density generally increased in early development and declined in old age, the details differed in different brain areas, and a continuum of changes alters synapse composition in all brain regions across the life span.
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An adaptive non-local means filter for denoising live-cell images and improving particle detection.

TL;DR: A novel feature-preserving non-local means filter that achieves higher peak signal-to-noise ratio in denoised images and has a greater capability in identifying weak particles when applied to synthetic data is presented.
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Secretory Vesicles Are Preferentially Targeted to Areas of Low Molecular SNARE Density

TL;DR: It is shown, using molecular imaging, that the majority of tSNARE molecules are spatially separated from secretory vesicles, providing a new model for the molecular mechanism of regulated exocytosis and demonstrating the exquisite organization of the plasma membrane at the level of individual molecular machines.
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A New Framework for Particle Detection in Low-SNR Fluorescence Live-Cell Images and Its Application for Improved Particle Tracking

TL;DR: A robust framework for particle detection in which image denoising in the grayscale image is not needed, so avoiding image oversmoothing and significant improvements in particle detection and tracking efficiency in fluorescence live-cell applications are proposed.