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Norway

PMID:32967665  

Deep learning-enabled analysis reveals distinct neuronal phenotypes induced by aging and cold-shock.

Sahand Saberi-Bosari | Kevin B Flores | Adriana San-Miguel
BMC biology | 2020

Access to quantitative information is crucial to obtain a deeper understanding of biological systems. In addition to being low-throughput, traditional image-based analysis is mostly limited to error-prone qualitative or semi-quantitative assessment of phenotypes, particularly for complex subcellular morphologies. The PVD neuron in Caenorhabditis elegans, which is responsible for harsh touch and thermosensation, undergoes structural degeneration as nematodes age characterized by the appearance of dendritic protrusions. Analysis of these neurodegenerative patterns is labor-intensive and limited to qualitative assessment.

Pubmed ID: 32967665

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Associated grants

  • Agency: NIA NIH HHS, United States
    Id: R21 AG059099
  • Agency: NIA NIH HHS, United States
    Id: R00 AG046911
  • Agency: Division of Integrative Organismal Systems, International
    Id: 1838314

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MATLAB (tool)

RRID:SCR_001622

Multi paradigm numerical computing environment and fourth generation programming language developed by MathWorks. Allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, Fortran and Python. Used to explore and visualize ideas and collaborate across disciplines including signal and image processing, communications, control systems, and computational finance.

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