How to use the colony screening probability calculator
Find the chance that at least one colony out of a number screened is a correct clone. Enter fraction of colonies correct, colonies screened in the fields above; the chance at least one correct, chance none correct are computed instantly and plotted on the chart so you can see how the answer changes.
Common searches this calculator answers include “colony screening probability”, “chance of correct clone”, “how many colonies to pick”, “calculate colony screening probability”, “find chance at least one correct”.
Formula
Variables
- f — Fraction of colonies correct
- n — Colonies screened
Worked example
With fraction of colonies correct = 0.2, colonies screened = 10, the calculator gives chance at least one correct ≈ 89.26258 %; chance none correct ≈ 10.73742 %.
Frequently asked questions
What is the colony screening probability calculator used for?
Find the chance that at least one colony out of a number screened is a correct clone. It helps with questions such as “colony screening probability”, “chance of correct clone”, “how many colonies to pick”.
What is the formula for the colony screening probability calculation?
Chance at least one correct (%) = 100 × (1-(1-f)^n). Chance none correct (%) = 100-[Chance at least one correct]. Here f is fraction of colonies correct, n is colonies screened.
What inputs do I need for the colony screening probability calculator?
You need fraction of colonies correct, colonies screened. Each field is pre-filled with a typical example so you can see how the result responds as you edit the numbers.
How do I use the colony screening probability calculator?
Type values into the input fields. Results and the chart update instantly. Use Reset to restore the example values, Copy results to paste them elsewhere, or Share to copy a link that preserves your inputs.
Is the colony screening probability result exact?
Calculations use standard formulas and double-precision arithmetic, then display about seven significant figures. Real-world measurements carry uncertainty, so treat results as estimates unless your inputs are exact.