NeuroQuantify - An image analysis software for detection and quantification of neuron cells and neurite lengths using deep learning.

Journal: Journal of neuroscience methods
PMID: 39197681

Abstract

BACKGROUND: The segmentation of cells and neurites in microscopy images of neuronal networks provides valuable quantitative information about neuron growth and neuronal differentiation, including the number of cells, neurites, neurite length and neurite orientation. This information is essential for assessing the development of neuronal networks in response to extracellular stimuli, which is useful for studying neuronal structures, for example, the study of neurodegenerative diseases and pharmaceuticals.

Authors

  • Ka My Dang
    Max Planck Institute of Microstructure Physics, Weinberg 2, Halle D-06120, Germany; Max Planck-University of Toronto Centre for Neural Science and Technology, Canada. Electronic address: kamydang@mpi-halle.mpg.de.
  • Yi Jia Zhang
    Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Rd., Toronto, Ontario M5S 3G4, Canada.
  • Tianchen Zhang
    Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Rd., Toronto, Ontario M5S 3G4, Canada.
  • Chao Wang
    College of Agriculture, Shanxi Agricultural University, Taigu, Shanxi, China.
  • Anton Sinner
    Max Planck Institute of Microstructure Physics, Weinberg 2, Halle D-06120, Germany.
  • Piero Coronica
    Max Planck Computing and Data Facility, Gießenbachstraße 2, Garching 85748, Germany.
  • Joyce K S Poon
    Max Planck Institute of Microstructure Physics, Weinberg 2, Halle D-06120, Germany; Max Planck-University of Toronto Centre for Neural Science and Technology, Canada; Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Rd., Toronto, Ontario M5S 3G4, Canada. Electronic address: joyce.poon@mpi-halle.mpg.de.

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