An information theoretic thresholding method for detecting protein colocalizations in stacks of fluorescence images.
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.
Barysenka
Andrei
A
CAS-MPG Partner Institute and Key Lab for Computational Biology, 320 Yue Yang Road, Shanghai 200031, PR China. aboris@picb.ac.cn
Dress
Andreas W M
AW
Schubert
Walter
W
D008856:Microscopy, Fluorescence / Q000379:methods*; D011506:Proteins / Q000378:metabolism*; D040901:Proteomics
D011506:Proteins