Morphology-based model for predicting osteocyte-like cell line (MLO-Y4) growth process
Yuan, Huan, Steinberg, Theodore, Gu, YuanTong, & Xiao, Yin (2012) Morphology-based model for predicting osteocyte-like cell line (MLO-Y4) growth process. In Gu, YuanTong & Saha, Suvash C. (Eds.) 4th International Conference on Computational Methods (ICCM 2012), 25-28 November 2012, Crowne Plaza, Gold Coast, QLD.
This work has led to the development of empirical mathematical models to quantitatively predicate the changes of morphology in osteocyte-like cell lines (MLO-Y4) in culture. MLO-Y4 cells were cultured at low density and the changes in morphology recorded over 11 hours. Cell area and three dimensional shape features including aspect ratio, circularity and solidity were then determined using widely accepted image analysis software (ImageJTM). Based on the data obtained from the imaging analysis, mathematical models were developed using the non-linear regression method. The developed mathematical models accurately predict the morphology of MLO-Y4 cells for different culture times and can, therefore, be used as a reference model for analyzing MLO-Y4 cell morphology changes within various biological/mechanical studies, as necessary.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Repository Staff Only: item control page