A low-cost system for computerized rodent weight logging with statistical analysis

A system comprising a suite of 4 computer programs has been developed for on-line rodent weight data collection and statistical analysis using an IBM personal computer. Data can be collected from up to 3 separate trials simultaneously, and can be stored for later statistical analysis. Mettler balances were used for the animal weighing. A Mettler current loop adapter and a multiplexer were used to interface the balances with the computer.     

Quantitative characterization of domes in primary mouse mammary epithelial tumor cell cultures

Summary Dome populations from primary cultures of mouse mammary tumor cells were quantitatively studied in regard to size, distribution, density and the area occupied by light-diffusion photography and image analysis. The effects of fetal bovine serum, insulin and hydrocortisone were analyzed. Quantitative characterization documented dome diameter (mode diameter 0.26 to 0.52 mm), dome area occupied (average 23%, maximum 38.7%), and density (average 78 domes per cm², maximum 117 domes per cm²) for standard culture conditions. Insulin and hydrocortisone had a primary effect on dome density whereas 15% fetal bovine serum had a minimal effect. However, insulin and hydrocortisone had a synergistic optimal effect on dome population. Time-lapse cinematography revealed that the dome population is not static, but a very dynamic one. Domes underwent irregular pulsations of expansion and contraction. Dome enlargement was either by a series of expansions and contractions, by lateral involvement of other cells, or by coalescence of two or more domes. Domes have been considered to be the in vitro counterpart of the in vivo acinus of the mouse mammary gland. However, quantitative dome population characterization has not been available. Dome analysis by light-diffraction photography and image analysis lends itself towards correlative studies of domes and their differentiative products. Supported in part by Public Health Service Contract NO1-CP 61013 within the Virus Cancer Program of the National Cancer Institute and by Public Health Service Training Grant CA05245 from the National Cancer Institute.