DocumentCode :
2720410
Title :
On identifying information from image-based spatial polarity phenotypes in neutrophils
Author :
Ku, Chin-Jen ; Wang, Yanqin ; Pavie, Benjamin ; Altschuler, Steven J. ; Wu, Lani F.
Author_Institution :
Southwestern Med. Center, Dept. of Pharmacology, Univ. of Texas, Dallas, TX, USA
fYear :
2010
fDate :
14-17 April 2010
Firstpage :
1029
Lastpage :
1032
Abstract :
Cell polarity is involved in many biological functions such as development, wound healing and immune responses. In human neutrophils, polarization is characterized by the translocation of distinct sets of signaling molecules to opposite ends of the cell and the rapid rearrangement of cytoskeleton to initiate migration. While many image-based studies have described cellular morphology and the intensity level of polarity signaling molecules, systematic characterization of the spatial distribution of polarity signaling molecules has been lacking. Here we designed a collection of analytical features to quantify spatial phenotypes of polarity molecules. We compared our features to commonly used polarity readouts and found that they captured additional aspects of the polarization dynamics that were not contained in the existing features. Our work provides a starting point to identify informative features for the study of neutrophil polarization.
Keywords :
biomedical optical imaging; blood; cellular biophysics; molecular biophysics; cell polarity; cellular morphology; image-based spatial polarity phenotypes; neutrophils; signaling molecules; Cells (biology); Fluorescence; Humans; Image processing; Immune system; Microscopy; Morphology; Peptides; Polarization; Signal processing; cell polarity; feature extraction; fluorescence imaging; image processing; neutrophils;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on
Conference_Location :
Rotterdam
ISSN :
1945-7928
Print_ISBN :
978-1-4244-4125-9
Electronic_ISBN :
1945-7928
Type :
conf
DOI :
10.1109/ISBI.2010.5490165
Filename :
5490165
Link To Document :
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