Xueying Wang

ORCID: 0000-0002-2399-8083
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About
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Research Areas
  • Cell Image Analysis Techniques
  • Neuroscience of respiration and sleep
  • Advanced Fluorescence Microscopy Techniques
  • Alzheimer's disease research and treatments
  • Advanced Neural Network Applications
  • Sleep and Wakefulness Research
  • Neuroscience and Neuropharmacology Research
  • Circadian rhythm and melatonin
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Neural dynamics and brain function
  • Advanced Electron Microscopy Techniques and Applications
  • Receptor Mechanisms and Signaling
  • Neuroendocrine regulation and behavior
  • Modular Robots and Swarm Intelligence
  • Protease and Inhibitor Mechanisms
  • Conducting polymers and applications
  • Cellular Mechanics and Interactions
  • Topological and Geometric Data Analysis
  • Winter Sports Injuries and Performance
  • Intracerebral and Subarachnoid Hemorrhage Research
  • Neuroscience and Neural Engineering
  • Olfactory and Sensory Function Studies
  • Molecular Biology Techniques and Applications
  • Metabolomics and Mass Spectrometry Studies
  • Genomics and Phylogenetic Studies

Nantong University
2024

Harvard University
2019-2023

Shanghai Institute of Microsystem and Information Technology
2023

University of Chinese Academy of Sciences
2023

State Key Laboratory of Transducer Technology
2023

Shenzhen Institutes of Advanced Technology
2023

Harvard University Press
2020-2021

State Key Laboratory of Medical Neurobiology
2019

Fudan University
2019

Massachusetts General Hospital
2014-2018

To understand the neural origins of rhythmic behavior one must characterize central pattern generator circuit and quantify population size needed to sustain functionality. Breathing-related interneurons brainstem pre-Bötzinger complex (preBötC) that putatively comprise core respiratory rhythm in mammals are derived from Dbx1-expressing precursors. Here, we show selective photonic destruction Dbx1 preBötC neurons neonatal mouse slices impairs but surprisingly also magnitude motor output;...

10.7554/elife.03427 article EN cc-by eLife 2014-07-15

How brain functions degenerate in the face of progressive cell loss is an important issue that pertains to neurodegenerative diseases and basic properties neural networks. We developed automated system uses two-photon microscopy detect rhythmic neurons from calcium activity, then individually laser ablates targets while monitoring network function real time. applied this mammalian respiratory oscillator located pre-Bötzinger Complex (preBötC) ventral medulla, which spontaneously generates...

10.1073/pnas.1200912109 article EN Proceedings of the National Academy of Sciences 2012-05-07

In this paper, we present the results of MitoEM challenge on mitochondria 3D instance segmentation from electron microscopy images, organized in conjunction with IEEE-ISBI 2021 conference. Our benchmark dataset consists two large-scale volumes, one human and rat cortex tissue, which are 1,986 times larger than previously used datasets. At time paper submission, 257 participants had registered for challenge, 14 teams submitted their results, six participated workshop. Here, eight...

10.1109/tmi.2023.3320497 article EN cc-by IEEE Transactions on Medical Imaging 2023-09-28

Abstract Soluble amyloid β oligomers (AβOs) are widely recognized neurotoxins that trigger aberrant signaling in specific subsets of neurons, leading to accumulated neuronal damage and memory disorders Alzheimer’s disease (AD). One the profound downstream consequences AβO-triggered events is dysregulation cytosolic calcium concentration ([Ca 2+ ] i ), which has been implicated synaptic failure, cytoskeletal abnormalities, eventually death. We have developed an vitro / vivo drug screening...

10.1038/s41598-018-22979-2 article EN cc-by Scientific Reports 2018-03-09

A key feature of neurodegenerative disease is the pathological loss neurons that participate in generating behaviour. To investigate network properties neural circuits and provide a complementary tool to study neurodegeneration vitro or situ, we developed an automated cell-specific laser detection ablation system. The instrument consists two-photon visible-wavelength confocal imaging setup, controlled by executive software, identifies preparations based on genetically encoded fluorescent...

10.1113/jphysiol.2012.247338 article EN The Journal of Physiology 2013-02-26

This paper presents an innovative exploration of the application potential large language models (LLM) in addressing challenging task automatically generating behavior trees (BTs) for complex tasks. The conventional manual BT generation method is inefficient and heavily reliant on domain expertise. On other hand, existing automatic technologies encounter bottlenecks related to complexity, model adaptability, reliability. In order overcome these challenges, we propose a novel methodology that...

10.48550/arxiv.2401.08089 preprint EN other-oa arXiv (Cornell University) 2024-01-01

Breathing in mammals depends on rhythms that originate from the preBötzinger complex (preBötC) of ventral medulla and a network brainstem spinal premotor neurons. The rhythm-generating core preBötC, as well some circuits, consist interneurons derived Dbx1-expressing precursors (Dbx1 neurons), but structure function these networks remain incompletely understood. We previously developed cell-specific detection laser ablation system to interrogate respiratory slice model breathing retains...

10.1523/jneurosci.0296-16.2016 article EN public-domain Journal of Neuroscience 2016-07-06

Abstract A connectivity graph of neurons at the resolution single synapses provides scientists with a tool for understanding nervous system in health and disease. Recent advances automatic image segmentation synapse prediction electron microscopy (EM) datasets brain have made reconstructions possible nanometer scale. However, sometimes struggles to segment large correctly, requiring human effort proofread its output. General proofreading involves inspecting volumes correct errors pixel...

10.1111/cgf.14320 article EN Computer Graphics Forum 2021-06-01

The endogenous opioid system is of great importance to normal brain functions. Opiate acts on GABAergic cells in both the ventral tegmental area and nucleus accumbens exert psychological effects. However, effects signal transduction morphology interneurons (INs) medial prefrontal cortex (mPFC), a region critical for motivational addictive behaviors, are unclear. By fluorescent dye injection morphological reconstruction, we found that total dendrite length dendritic complexity parvalbumin...

10.1097/wnr.0000000000001254 article EN Neuroreport 2019-04-09

10.1007/978-1-0716-2974-1_10 article EN Methods in molecular biology 2023-01-01

Prognosis and diagnosis play an important role in accelerating the development of lithium-ion batteries, as well reliable long-life operation. In this work, we answer question: What is minimum amount data required to extract features for accurate battery prognosis diagnosis? Based on first principle, successfully extracted best two-point feature (BTPF) using fewest points (only two) simplest selection method (Pearson correlation coefficient). The BTPF extraction tested 820 cells from 6...

10.48550/arxiv.2408.11872 preprint EN arXiv (Cornell University) 2024-08-19

We reported a flexible neural electrode that can simultaneously detect electrophysiological signals and dopamine concentration fluctuation, where the thickness is only 5 microns with bending stiffness ~4.7×10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-12</sup> N•m xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> ~3-4 orders of lower than [1]. The extremely thin ultralow cause less chemo-mechanical mismatch between probes tissues enabling...

10.1109/mems49605.2023.10052189 article EN 2023-01-15

One of the essential tasks in connectomics is morphology analysis neurons and organelles like mitochondria to shed light on their biological properties. However, these objects often have tangled parts or complex branching patterns, which make it hard abstract, categorize, manipulate morphology. In this paper, we develop a novel topological nomenclature system name appellation for chemical compounds promote neuroscience based skeletal structures. We first convert volumetric representation...

10.1109/cvprw50498.2020.00501 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2020-06-01
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