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Metamorph

eagle-i ID

http://eagle-i.itmat.upenn.edu/i/00000170-4431-8541-9510-1acb80000000

Resource Type

  1. Software

Properties

  1. Resource Description
    "MetaMorph Software provides all the tools needed to perform meaningful analysis of acquired images. Common tools for thresholding, filtering, and feature extraction are included as one would expect. However, MetaMorph Software provides other more sophisticated tools such as the integrated morphometry analysis (IMA) module. IMA allows objects to be measured and separated into user-definable classes, based on any combination of measured morphometric parameters, such as shape, size, or optical density. A point-and-click interface, linking images and spreadsheet results, makes it easy to choose representative objects for classification and measurement. MetaMorph Software also offers many user-friendly application modules for biology-specific analysis such as cell signaling, cell counting, and protein expression. Each application module features a dedicated dialog box with intuitive setting selections, improved segmentation through adaptation to local content, as well as both field and cell-by-cell data logging. After analysis is complete, users can interactively view tabular and image results side by side for their cellular imaging application."
  2. Manufacturer
    Molecular Devices, Inc.
  3. Used by
    Center for Dynamic Imaging of Nervous System Function (CHOP/Penn)
  4. Website(s)
    https://www.med.upenn.edu/twopcenter/data.shtml
  5. Related Technique
    Microscopy
  6. Related Technique
    Image analysis
  7. Software license
    Proprietary commercial software license
 
RDFRDF
 
Provenance Metadata About This Resource Record
  1. workflow state
    Published
  2. contributor
    ggrant (Gregory Grant)
  3. created
    2020-02-14T09:55:11.110-05:00
  4. creator
    ggrant (Gregory Grant)
  5. modified
    2020-02-14T09:55:18.559-05:00
Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016