Introduction

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.

Publications

  1. NeuroGPS: automated localization of neurons for brain circuits using L1 minimization model.
    Cite this
    Quan T, Zheng T, Yang Z, Ding W, Li S, Li J, Zhou H, Luo Q, Gong H, Zeng S, 2013-01-01 - Scientific Reports

Credits

  1. Tingwei Quan
    Developer

  2. Ting Zheng
    Developer

  3. Zhongqing Yang
    Developer

  4. Wenxiang Ding
    Developer

  5. Shiwei Li
    Developer

  6. Jing Li
    Developer

  7. Hang Zhou
    Developer

  8. Qingming Luo
    Developer

  9. Hui Gong
    Developer

  10. Shaoqun Zeng
    Investigator

Community Ratings

UsabilityEfficiencyReliabilityRated By
0 user
Sign in to rate
Summary
AccessionBT003888
Tool TypeApplication
Category
PlatformsLinux/Unix
TechnologiesC++
User InterfaceTerminal Command Line
Download Count0
Submitted ByShaoqun Zeng