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Allen Cell Structure Segmenter: A Machine learning toolkit that lets biologists navigate their way through a 3D cell

8/6/2019

 
​We present the Allen Cell Structure Segmenter, a python-based, open-source toolkit that combines classic 3D image segmentation with artificial intelligence to detect cellular structures.
Picture
​Read more about this new toolkit and how it can help biologists analyze their 3D images of cells and be more quantitative with their results.
Allen Cell Structure Segmenter page
Read the release article

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cellscience.alleninstitute.org
  • About
    • What We Do
    • FAQs
    • Videos & Tutorials
    • Site Updates
    • < Forum >
    • < AllenInstitute.org >
  • Animated Cell
    • Educational Resources
    • Visual Guide to Human Cells
    • Visual Guide Tutorial
    • Research Projects >
      • Pathtrace rendering
  • Cells & Biology
    • Cell Catalog
    • About our Cells >
      • hiPS Cell Biology Overview
      • Cell Structure Observations
      • Cell Catalog QuickView
    • Genomics
    • Methods & SOPs >
      • Methods for Cells in the Lab
      • Cell Methods: Videos from the Lab
      • Methods for Microscopy
    • Research Projects >
      • hiPS Cells During Mitosis
      • Drug Perturbation Pilot
      • Differentiation Into Cardiomyocytes
      • Why Endogenous Tagging?
  • Data & Tools
    • Cell Catalog
    • 3D Cell Viewer
    • Cell Feature Explorer
    • Deep Cell Zoom
    • Segmenter
    • Data Downloading
    • Software & Code
    • Research Projects >
      • Extracting Information
  • Modeling & Analysis
    • Integrated Mitotic Stem Cell
    • Allen Integrated Cell
    • Label-free Determination
    • Data Notebook Exploration >
      • Cell Shape Analysis
      • Programmatic Data Access
    • Research Projects >
      • 3D Probabilistic Modeling
  • News & Publications
    • News Feed
    • Publications
    • Archived Content