Skip to content

Multiparametric Morphometric Analysis of EUcaryotic cellS

License

Notifications You must be signed in to change notification settings

TCP-Lab/MORPHEUS

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

21 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Important: This repository is silent. No active development is currently being carried out, but it is still maintained. Please open an issue to request help or features.

MORPHEUS

Multiparametric Morphometric Analysis of EUcaryotic cellS

MORPHEUS' quick start guide

morphversion 1.0/2019

MORPHEUS plugin can be easily integrated into Fiji menu, simply by copying Morpheus_.ijm file into the Fiji's plugins subfolder.

Once installed, the user can launch MORPHEUS from the Plugins menu and MORPHEUS main window should appear.

Through this dialog window, it is possible to specify the following parameters:

  • the path of the input directory (i.e., the folder containing the images to be analyzed);
  • the path of the output directory (i.e., the folder in which MORPHEUS will save the results of the analysis);
  • image file suffix (i.e., the extension of the images to be analyzed);
  • nucleus file identifier (i.e., a string of characters that must be present in the file name of all the images stained for nucleus, but NOT in the images stained for cytoskeleton, allowing MORPHEUS to distinguish among them);
  • the anti-spot lower bound epsilon (i.e., the minimum number of pixels a segmented object must have to not be discarded as 'spot noise');
  • tolerance value T (i.e., the number of standard deviations from the mean of the sampling distributions used by MORPHEUS to define the characteristic area and circularity of the 'typical' isolated cell. The higher the value of T, the more tolerant the selection process will be);
  • 4 checkboxes that allow the user to choose which MORPHEUS' optional functions to enable among Orientation analysis, Nucleus analysis, Full output and Verbose log.

NOTE: Orientation analysis requires the OrientationJ plugin (by D. Sage, Biomedical Image Group (BIG), EPFL, Switzerland, version 2.0.2 or above) to be installed. OrientationJ latest version can be freely downloaded at http://bigwww.epfl.ch/demo/orientation/.

When clicking OK button, MORPHEUS starts scanning the user-defined input folder searching for the images stained for cytoskeleton and no further intervention by the user is required until the analysis of the whole dataset is completed.

In any case, after MORPHEUS terminates, it is always recommended to check the results of both segmentation and cell detection processes. Badly thresholded images can be easily spotted by a quick visual inspection of the output folder content and their possible presence usually indicates an insufficient image quality.

If everything worked properly, the message All output files have been correctly saved to <output> is printed in Fiji Log window.

For a more detailed guide to MORPHEUS algorithm and output, please refer to the following docs:

  1. Ruffinatti FA, Genova T, Mussano F, Munaron L. MORPHEUS: An automated tool for unbiased and reproducible cell morphometry. J Cell Physiol. 2020;235:10110–10115. https://doi.org/10.1002/jcp.29768

  2. MORPHEUS - User Guide and Supplementary Materials