help button home button Biophys. J.
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS

Biophysical Journal 19: 163-176 (1977)
© 1977 the Biophysical Society

This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Nicolini, C
Right arrow Articles by Giaretti, W
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Nicolini, C
Right arrow Articles by Giaretti, W

Objective identification of cell cycle phases and subphases by automated image analysis.

C Nicolini, F Kendall and W Giaretti

ABSTRACT

Frequency distributions of integrated optical density, perimeter, projection, area, form factor, average optical density, and mean dispersion path of nuclear images of Feulgen-stained HeLa S3 cells were obtained by automated image analysis at the base threshold of 0.04 OD. The mean values and standard deviations of these geometric parameters were then computed versus increasing values of threshold (0.08--0.32 OD). There is clear evidence of differential chromatin dispersion and convolution during the cycle of synchronized HeLa S3 cells at different times after selective mitotic detachment. The combination of average OD, form factor, and mean dispersion path at base threshold with the threshold dependence of nuclear morphometric parameters permits objective identification of cell cycle phases and their subphases, by characterizing variations in chromatin geometry within and between phases, regardless of whether DNA content remains constant (early G1, middle G1, late G1), varies only slightly (late G1-early S or late S-G2 transitions), or varies significantly (early S-middle S).




This article has been cited by other articles:


Home page
Molecular Cancer TherapeuticsHome page
J. Low, S. Huang, W. Blosser, M. Dowless, J. Burch, B. Neubauer, and L. Stancato
High-content imaging characterization of cell cycle therapeutics through in vitro and in vivo subpopulation analysis
Mol. Cancer Ther., August 1, 2008; 7(8): 2455 - 2463.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 1977 by the Biophysical Society.