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iVision-Mac

eagle-i ID

http://eagle-i.itmat.upenn.edu/i/00000138-81bc-be35-9cd7-d7e280000000

Resource Type

  1. Software

Properties

  1. Resource Description
    "iVision‐Mac is image acquisition, processing, measurement, and analysis software. iVision‐Mac directly supports the acquisition of images and time-lapse series. Sophisticated imaging processes or even simple routines can be automated down to the push of a single button through the use of the intuitive scripting tool. There is no need to learn Visual Basic or other programming languages when you want to automate your imaging routines. Also, fully integrated extensions easily automate microscope control by driving motorized microscope hardware. Using spatially calibrated images with the automated measurement tools, scientists can quickly and easily perform dozens of image processing tasks. The resulting data can be saved in iVision‐Mac, or opened in a spreadsheet program such as Excel for further analysis. User definable plots and histograms are also included to present the data as desired. iVision‐Mac also includes densitometry measurements that can be used to plot an analysis such as mean intensity over time. iVision‐Mac supports the measurement of individual objects, regions of interest, and entire images. iVision‐Mac performs batch analysis of images and sequences using file lists and indexed files."
  2. Manufacturer
    BioVision Technologies
  3. Used by
    Cell and Developmental Biology Microscopy Core (Penn)
  4. Software purpose
    Image processing objective
  5. Website(s)
    http://www.biovis.com/ivision.htm
  6. Related Technique
    Image acquisition and analysis
  7. Software license
    Proprietary commercial software license
 
RDFRDF
 
Provenance Metadata About This Resource Record
  1. workflow state
    Published
  2. contributor
    fcoldren
  3. created
    2012-07-13T14:08:14.642-05:00
  4. creator
    fcoldren
  5. modified
    2012-07-31T09:54:46.988-05:00

Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016