The determination of growth rates of individual colonies in agarose using high-resolution automated image analysis.
This paper describes the evaluation of a colony formation assay using automated image analysis, which permits the tracking of growth at the individual colony level, such that a growth rate can be estimated for each colony followed. In principle, this will permit quantitative characterization of cellular heterogeneity in growth rate and cellular heterogeneity in response to proliferation-modifying agents. In addition, we have demonstrated the possibility of using correlative microscopy to relate growth rate to other parameters, using metabolic viability as an example. This should be useful for determining cellular characteristics associated with proliferative behavior and response to proliferation-modifying agents.
Slocum
H K
HK
Department of Experimental Therapeutics, Roswell Park Memorial Institute, Buffalo, New York 14263.
Malmberg
M
M
Greco
W R
WR
Parsons
J C
JC
Rustum
Y M
YM
D000230:Adenocarcinoma / Q000473:pathology*; D002471:Cell Transformation, Neoplastic / Q000473:pathology*; D006801:Humans; D007078:Ileal Neoplasms / Q000473:pathology*; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D012685:Sepharose; D014407:Tumor Cells, Cultured / Q000473:pathology
D012685:Sepharose