Will this work for me?

Find out whether this method will help your hospital, testing facility or institute.

Simulation Parameters

How often you expect your tests to be positive. This method is only effective if this value is less than 0.4. This value will form the basis for the group size when the number of samples tested is large.

This is the total number of PCR wells that you have available.

The number of samples that you have to test

What is the cost for testing one sample? (excl. sample collection and transport costs)

What is the cost for testing one sample? (excl. sample collection and transport costs)

Statistics

Several statistics describe how you can achieve a higher throughput at lower cost and with greater reliability. Try out the demo here to see a generated protocol for optimal mixing.

Fewer Runs Needed

After 8 runs all patients could be diagnosed, compared to 53 runs with independent testing. This equates to a difference in of 63 hours and 39 minutes.

Less Material Required

Reagents for 706 wells were required, instead of 5000 wells with independent testing. This equates to a difference of 26.84 mL for the PCR master mix and 5.37 mL for the primers.

Higher Reliability

Samples were tested 1.97 times on average, instead of 1 time with independent testing.

Cost savings

You save  $128820.0

- or -

Number of potential tests at cost

You could test 35410 patients at the same cost.

Details

Samples Confirmed per Run

The total number of samples confirmed after each run with the newly addded samples in parentheses. Note that early on, many health individuals can be sent home.

After Run Number Confirmed Negative Confirmed Positive
1 2723 (+2723) 0 (+0)
2 3726 (+1003) 0 (+0)
3 4284 (+558) 0 (+0)
4 4612 (+328) 0 (+0)
5 4768 (+156) 0 (+0)
6 4869 (+101) 0 (+0)
7 4922 (+53) 44 (+44)
8 4940 (+18) 60 (+16)

Sample Material Required

The number of times sample material will need to be taken.

# Times Used # Samples
1 2723
2 1003
3 590
4 328
5 158
6 125
7 69
8 4