Literature DB >> 20100525

An information theoretic thresholding method for detecting protein colocalizations in stacks of fluorescence images.

Andrei Barysenka1, Andreas W M Dress, Walter Schubert.   

Abstract

In this note, we present a new method that allows us to determine threshold values for separating presence and absence of proteins in a stack of fluorescence images describing a spatial distribution of proteins across a biological object (like a slice of nervous tissue, a sample of blood cells, etc.). We apply this method to stacks of fluorescence images and find that the resulting threshold values are almost identical with threshold values found using completely independent methods based on technological and biological aspects of the images in question. Copyright 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20100525     DOI: 10.1016/j.jbiotec.2010.01.009

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  2 in total

1.  Large molecular systems landscape uncovers T cell trapping in human skin cancer.

Authors:  Reyk Hillert; Anne Gieseler; Andreas Krusche; Daniel Humme; Hans-Joachim Röwert-Huber; Wolfram Sterry; Peter Walden; Walter Schubert
Journal:  Sci Rep       Date:  2016-01-13       Impact factor: 4.379

Review 2.  Advances in toponomics drug discovery: Imaging cycler microscopy correctly predicts a therapy method of amyotrophic lateral sclerosis.

Authors:  Walter Schubert
Journal:  Cytometry A       Date:  2015-04-13       Impact factor: 4.355

  2 in total

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