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
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