CellX
CellX is a tool for segmentation, fluorescence quantification, and tracking of cells on microscopy images. Installation and usage is explained in [1].
Download
Precompiled distribution (Win, Mac, Linux):
- external pagecurrent version of CellXcall_made
- external pageinitially published version of CellX (deprecated)call_made
Source code:
CellX MATLAB Image Segmentation Package
CellX is also available as a MATLAB package for segmentation of cells in microscopy images with membrane patterns. For an explanation of the algorithm see [2]. The MATLAB source including examples can be downloaded here:
License
Redistribution and use in source and binary forms, with or without modification, are permitted provided agreeing to the DownloadSimplified BSD Style License (TXT, 2 KB)vertical_align_bottom.
References
- Mayer C, Dimopoulos S, Rudolf F, Stelling J (2013)
Using CellX to quantify intracellular events
Curr Protoc Mol Biol Chapter 14: Unit 14 22.
external pagehttp://doi.org/10.1002/0471142727.mb1422s101call_made. - Dimopoulos S, Mayer CE, Rudolf F, Stelling J (2014)
Accurate cell segmentation in microscopy images using membrane patterns.
Bioinformatics 30: 2644-2651.
external pagehttp://doi.org/10.1093/bioinformatics/btu302call_made.
Libraries
CellX makes use of the following libraries/plugins:
- Rasband, W S. ImageJ, U. S. National Institutes of Health, Bethesda, Maryland, USA, external pagehttp://imagej.nih.gov/ij/call_made, 1997-2011.
- Peng, T. Circular Hough Transform, external pageMatlabCentral File Exchangecall_made, 2005-2010.
- Saalfeld, S. Contrast Limited Adaptive Histogram Equalization (CLAHE), external pageEnhance Local Contrastcall_made, 2009-2010.
- Gilbert, D. JFreeChart, external pagehttp://www.jfree.org/jfreechart/call_made, 2005-2011.