Multistage spatial property based segmentation for quantification of fluorescence distribution in cells
2010 (English)Conference paper (Refereed)Text
The interpretation of the distribution of fluorescence in cells is often by simple visualization of microscope‐derived images for qualitative studies. In other cases, however, it is desirable to be able to quantify the distribution of fluorescence using digital image processing techniques. In this paper, the challenges offluorescence segmentation due to the noise present in the data are addressed. We report that intensity measurements alone do not allow separation of overlapping data between target and background. Consequently, spatial properties derived from neighborhood profile were included. Mathematical Morphological operations were implemented for cell boundary extraction and a window based contrast measure was developed for fluorescence puncta identification. All of these operations were applied in the proposed multistage processing scheme. The testing results show that the spatial measures effectively enhance the target separability.
Place, publisher, year, edition, pages
2010. Vol. 1210, 3-12 p.
Computer Vision and Robotics (Autonomous Systems)
IdentifiersURN: urn:nbn:se:liu:diva-127913DOI: 10.1063/1.3314268 OAI: oai:DiVA.org:liu-127913DiVA: diva2:928900
2009 INTERNATIONAL CONFERNECE ON COMPUTATIONAL MODELS FOR LIFE SCIENCES (CMLS-09). 28–29 July 2009 Sofia (Bulgaria)