DocumentCode :
2721497
Title :
Analysis of spatial variation of nuclear morphology in tissue microenvironments
Author :
Singh, S. ; Raman, S. ; Caserta, E. ; Leone, G. ; Ostrowski, M. ; Rittscher, J. ; Machiraju, R.
Author_Institution :
Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH, USA
fYear :
2010
fDate :
14-17 April 2010
Firstpage :
1293
Lastpage :
1296
Abstract :
We present a study of the spatial variation of nuclear morphology of stromal and cancer-associated fibroblasts in the mouse mammary gland. The work is part of a framework being developed for the analysis of the tumor microenvironment in breast cancer. Recent research has uncovered the role of stromal cells in promoting tumor growth and progression. In specific, studies have indicated that stromal fibroblasts - formerly considered to be passive entities in the extra-cellular matrix - play an active role in the progression of tumor in mammary tissue. We have focused on the analysis of the nuclear morphology of fibroblasts, which several studies have shown to be a critical phenotype in cancer. An essential component of our approach is that the nuclear morphology is studied within the 3D spatial context of the tissue, thus enabling us to pose questions about how the locus of a cell relates to its morphology, and possibly to its function. In order to make quantitative comparisons between nuclear populations, we build statistical shape models of cell populations and infer differences between the populations through these models. We present our observation on both normal and tumor tissues from the mouse mammary gland.
Keywords :
biological organs; biomedical optical imaging; cancer; cellular biophysics; gynaecology; image segmentation; medical image processing; optical microscopy; statistical analysis; tumours; breast cancer; cancer biology; cancer-associated fibroblast; cell morphology; cell populations; mouse mammary gland; nuclear morphology; spatial statistics; spatial variation; statistical shape model; stromal fibroblast; tissue microenvironment; tumor growth; tumor progression; Breast cancer; Breast neoplasms; Cells (biology); Ducts; Fibroblasts; Fluorescence; Mammary glands; Mice; Morphology; Shape; Cancer Biology; Nuclear Morphometry; Spatial Statistics; Statistical Shape Analysis; Tumor Microenvironment;
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.2010.5490233
Filename :
5490233
Link To Document :
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