TABLE 1.
Labeling concentration
(kBq/mL)† |
Exposure Time
(d) |
Function | <n> ‡ (tracks/cell) | σ § | v | χ̂2 | R2 | |
---|---|---|---|---|---|---|---|---|
0.52 ± 0.051 | 52d | Poisson | } | 6.7* | — | 7 | 149 | |
LN | 0.81 | 6 | 3.2 | — | ||||
P – LN | 1.1 | 6 | 6.5 | |||||
Constrained LS fit to LN | 6.7* ± 1.1 | 0.80 ± 0.097 | 5 | 3.9 | 0.78 | |||
LS fit to LN | 8.2 ± 1.7 | 0.88 ± 0.11 | 6 | 3.2 | 0.81 | |||
| ||||||||
Convolved (52, 26, 7d) | Poisson | } | 5.5 | — | 19 | 7.7E+07 | ||
LN | 0.71 | 18 | 3.6 | — | ||||
P – LN | 0.96 | 18 | 12 | |||||
LS fit to LN | 7.1 ± 0.63 | 0.80 ± 0.056 | 18 | 3.1 | 0.92 | |||
| ||||||||
3.8 ± 0.36 | 4 d | Poisson | } | 7.3* | — | 7 | 25 | |
LN | 0.64 | 6 | 0.5 | — | ||||
P – LN | 0.60 | 6 | 1.1 | |||||
Constrained LS fit to LN | 7.3* ± 0.32 | 0.61 ± 0.029 | 5 | 1.2 | 0.98 | |||
LS fit to LN | 7.4 ± 0.33 | 0.62 ± 0.029 | 6 | 0.9 | 0.98 | |||
| ||||||||
Convolved (0.67, 4d) | Poisson | } | 6.1 | — | 16 | 1.2E+07 | ||
LN | 0.62 | 15 | 2.8 | — | ||||
P – LN | 0.57 | 15 | 2.1 | |||||
LS fit to LN | 6.9 ± 0.22 | 0.59 ± 0.023 | 15 | 1.9 | 0.98 | |||
| ||||||||
67 ± 6.6 | 1 d | Poisson | } | 5.7* | — | 7 | 1.1 | |
LN | 0.54 | 6 | 5.6 | — | ||||
P – LN | 0.28 | 6 | 0.66 | |||||
Constrained LS fit to LN | 5.7* ± 0.33 | 0.48 ± 0.044 | 5 | 15 | 0.88 | |||
LS fit to LN | 6.5 ± 0.29 | 0.52 ± 0.033 | 6 | 9.5 | 0.95 | |||
| ||||||||
Convolved (0.25, 1d) | Poisson | } | 5.7 | — | 14 | 9.6E+06 | ||
LN | 0.62 | 13 | 8.4 | — | ||||
P – LN | 0.49 | 13 | 1.7 | |||||
LS fit to LN | 6.7 ± 0.25 | 0.54 ± 0.029 | 13 | 6.3 | 0.97 |
The arithmetic mean <n> with * is decay corrected for t2 > t1, otherwise <n> is obtained from the raw data. σ, v are the log normal shape parameter and degrees of freedom, respectively. The values are shown upto two significant digits.
Errors are based on SD of triplicate measurements of scintillation counts and cell counts.
Standard Errors are provided by least-squares fit of the data to a LN function using SigmaPlot (SPSS).
Optimized value of σ (shape parameter) obtained via minimization of chi-square (χ̂2) procedure.