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Cerenkov Counting Performance on the TopCountTM Microplate Scintillation and Luminescence Counter

ical but is due to the highly penetrating radiation of 32P beta particle interacting with neighboring wells. The data also indicate that the type of filter medium influences counting efficiency. The Cerenkov counting efficiencies on TopCount for UniFilter and FlexiFilter are about 50% of that obtained by Cerenkov counting on an LSC. Higher counting efficiencies on the TopCount can be achieved at the expense of a slightly higher background by adjusting the lower discriminator to a lower value.

Microcentrifuge Tube Counting
Average counting efficiency for 0.4 mL tubes was approximately 13% for all volumes of water added from 10 μL to 400 μL. Backgrounds are less than 300 CPM. A fairly constant counting efficiency over the sample volume range of 10 to 1500 μL was observed for the 1.5 mL tubes. The lowest observed was 13% (1500 μL) and the highest was 17% (500 μL volume). Background for the 6-60 chosen window will be less than 300 CPM. Higher counting efficiency can be obtained at the expense of background by raising the lower discriminator setting.

Volume Effect
Table 2 shows the TopCount Cerenkov counting efficiency performance as a function of volume of water sample in a 96- and a 24-well OptiPlate. The data shown are the mean of three replicates.

The data show that the volume of water influences the counting efficiency in a 96-well plate with maximum counting efficiency at the largest sample size. There does not seem to be a significant volume effect in the 24-well format.

Performance Linearity
The performance linearity data are shown in Figure 1 which is a plot of TopCount CPM versus DPM activity. The DPM was determined by counting the same activity on a Packard Tri-Carb 2500TR LSC. The figure shows that response is linear throughout the entire range of activities most likely encounter
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