Document Detail

Automated Podosome Identification and Characterization in Fluorescence Microscopy Images.
MedLine Citation:
PMID:  23347434     Owner:  NLM     Status:  Publisher    
Podosomes are cellular adhesion structures involved in matrix degradation and invasion that comprise an actin core and a ring of cytoskeletal adaptor proteins. They are most often identified by staining with phalloidin, which binds F-actin and therefore visualizes the core. However, not only podosomes, but also many other cytoskeletal structures contain actin, which makes podosome segmentation by automated image processing difficult. Here, we have developed a quantitative image analysis algorithm that is optimized to identify podosome cores within a typical sample stained with phalloidin. By sequential local and global thresholding, our analysis identifies up to 76% of podosome cores excluding other F-actin-based structures. Based on the overlap in podosome identifications and quantification of podosome numbers, our algorithm performs equally well compared to three experts. Using our algorithm we show effects of actin polymerization and myosin II inhibition on the actin intensity in both podosome core and associated actin network. Furthermore, by expanding the core segmentations, we reveal a previously unappreciated differential distribution of cytoskeletal adaptor proteins within the podosome ring. These applications illustrate that our algorithm is a valuable tool for rapid and accurate large-scale analysis of podosomes to increase our understanding of these characteristic adhesion structures.
Marjolein B M Meddens; Bernd Rieger; Carl G Figdor; Alessandra Cambi; Koen van den Dries
Related Documents :
23498844 - Zooming in on biological processes with fluorescence nanoscopy.
9609504 - Imaging ability and effective use of guided imagery.
25184534 - Travelling within the fetal gut: simple rules for an arduous journey.
24477184 - Surface-constrained 3d reconstruction in cryo-em.
9376844 - Amnioscopic endofetal illumination with infrared-guided fiber.
24308014 - A parallel point matching algorithm for landmark based image registration using multico...
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-1-25
Journal Detail:
Title:  Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada     Volume:  -     ISSN:  1435-8115     ISO Abbreviation:  Microsc. Microanal.     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-1-25     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9712707     Medline TA:  Microsc Microanal     Country:  -    
Other Details:
Languages:  ENG     Pagination:  1-10     Citation Subset:  -    
Department of Tumor Immunology, Nijmegen Centre for Molecular Life Sciences, Radboud University Nijmegen Medical Centre, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Information technology systems in public sector health facilities in developing countries: the case ...
Next Document:  A comparison between intensive and conventional cabergoline treatment of newly diagnosed patients wi...