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Analyze your plankton through digitized images
 
Last update: 18 June 2007, by Philippe Grosjean  


Plankton samples are traditionally collected with plankton nets and analyzed by taxonomists using a stereomicroscope and determination keys. This work is labor-intensive and requires highly-specialized and well-trained people.

With the advances in image analysis and machine learning, it becomes evident that the analysis of digitized plankton images can support, ease and speed-up the work. The free Zoo/PhytoImage software (licensed under GNU/GPL) provides a complete solution for such a job.


Download Zoo/PhytoImage  

The installer is the same one for ZooImage and PhytoImage. You don't need to install it twice if you want both applications! You need to install also ImageMagick 16bit (see hereunder). Note also that Zoo/PhytoImage is not available yet for MacOS or Linux/Unix, only for Windows.
  Zoo/PhytoImage 1.2-1 (Windows installer, 136Mb - required)
  ImageMagick 6.1.9 Q16 Windows (Windows installer, 7.5Mb - required)
  Zoo/PhytoImage user's manual (1.9Mb)
  ReadMe file (6Kb - Read this first!)
  License file (19Kb - Read this first!)
  Changes file (11Kb)
Example datasets (Read Me!)
  FlowCAM example (FIT-IMS) (110Kb) Read this first!
  FlowCAM example (FIT-VIS) (860Kb) Read this first!
  Macrophotography example (gray 16bit) (82Mb) Read this first!
  Idem (training set example) (109Mb) Read this first!
  Microphoto example (color 24bit) (6.8Mb) Read this first!
  Example dataset for PlanktonJ (6.8Mb) Read this first!
  Scanner example (color 24bit) (320Kb) Read this first!
  Idem (training set example) (1.1Mb) Read this first!
  Scanner example (gray 16bit) (226Mb) Read this first!
  Idem (training set example) (88Mb) Read this first!

Get help to use Zoo/PhytoImage 

After downloading the sofware, look at the Zoo/PhytoImage user's manual that explains in details how to install the software and how to use it (quick tutorial). Additional example datasets should be used for training before working with your actual data. If you have further, or specific questions, you should use the dedicated forum.

 
   
     

 
 
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