Meruvia-Pastor, Oscar E. and Soh, Jung and Schmidt, Eric J. and Boughner, Julia C. and Xiao, Mei and Jamniczky, Heather A. and Halgrimsson, Benedikt and Sensen, Christoph W. (2011) Estimating Cell Count and Distribution in Labeled Histological Samples Using Incremental Cell Search. International Journal of Biomedical Imaging, 2011 (Articl). pp. 1-16. ISSN 1687-4196
PDF (Migrated (PDF/A Conversion) from original format: (application/pdf))
- Published Version
Available under License Creative Commons Attribution.
Cell proliferation is critical to the outgrowth of biological structures including the face and limbs. This cellular process has traditionally been studied via sequential histological sampling of these tissues. The length and tedium of traditional sampling is a major impediment to analyzing the large datasets required to accurately model cellular processes. Computerized cell localization and quantification is critical for high-throughput morphometric analysis of developing embryonic tissues. We have developed the Incremental Cell Search (ICS), a novel software tool that expedites the analysis of relationships between morphological outgrowth and cell proliferation in embryonic tissues. Based on an estimated average cell size and stain color, ICS rapidly indicates the approximate location and amount of cells in histological images of labeled embryonic tissue and provides estimates of cell counts in regions with saturated fluorescence and blurred cell boundaries. This capacity opens the door to high-throughput 3D and 4D quantitative analyses of developmental patterns.
0 Citations in Google Scholar
|Keywords:||Biological structures, Cell boundary, Cell count, Cell localization, Cell search, Cell size, Cellular process, Embryonic tissue, High-throughput, Histological images, Large datasets, Morphometric analysis, Software tool|
|Department(s):||Science, Faculty of > Computer Science|
Actions (login required)