ArticleScientific reports2013
NeuroGPS: automated localization of neurons for brain circuits using L1 minimization model.
Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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42 citing papers in PubMed, 69 citations in OpenAlex.
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- Whole-brain Optical Imaging: A Powerful Tool for Precise Brain Mapping at the Mesoscopic Level.Neuroscience bulletin · 2023Review
- BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets.Nature methods · 2023Article
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- An interactive image segmentation method for the anatomical structures of the main olfactory bulb with micro-level resolution.Frontiers in neuroinformatics · 2023Article
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- FCE-Net: a fast image contrast enhancement method based on deep learning for biomedical optical images.Biomedical optics express · 2022Article
- Whole-Brain Direct Inputs to and Axonal Projections from Excitatory and Inhibitory Neurons in the Mouse Primary Auditory Area.Neuroscience bulletin · 2022Article
- The Mesoscopic Connectome of the Cholinergic Pontomesencephalic Tegmentum.Frontiers in neuroanatomy · 2022Article
- Perineuronal nets restrict transport near the neuron surface: A coarse-grained molecular dynamics study.Frontiers in computational neuroscience · 2022Article
- Multicolor high-resolution whole-brain imaging for acquiring and comparing the brain-wide distributions of type-specific and projection-specific neurons with anatomical annotation in the same brain.Frontiers in neuroscience · 2022Article
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- High-definition imaging using line-illumination modulation microscopy.Nature methods · 2021Article
- Minutes-timescale 3D isotropic imaging of entire organs at subcellular resolution by content-aware compressed-sensing light-sheet microscopy.Nature communications · 2021Article
- Foreground Estimation in Neuronal Images With a Sparse-Smooth Model for Robust Quantification.Frontiers in neuroanatomy · 2021Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Drawing the map of neuronal circuits at microscopic resolution is important to explain how brain works. Recent progresses in fluorescence labeling and imaging techniques have enabled measuring the whole brain of a rodent like a mouse at submicron-resolution. Considering the huge volume of such datasets, automatic tracing and reconstruct the neuronal connections from the image stacks is essential to form the large scale circuits. However, the first step among which, automated location the soma across different brain areas remains a challenge. Here, we addressed this problem by introducing L1 minimization model. We developed a fully automated system, NeuronGlobalPositionSystem (NeuroGPS) that is robust to the broad diversity of shape, size and density of the neurons in a mouse brain. This method allows locating the neurons across different brain areas without human intervention. We believe this method would facilitate the analysis of the neuronal circuits for brain function and disease studies.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.