Convert CFU changes into log and percent reduction
Provide any three fields and the calculator solves the remaining one — you can also edit the “blue” result field to back-calculate.

This calculator compares a microbial count before and after a process (for example, a disinfectant, heat treatment, filtration, or a lab procedure) and expresses the change in two common ways:
Quick intuition: 1 log ≈ 90% reduction, 2 log ≈ 99%, 3 log ≈ 99.9%, and so on. Each extra “log” adds another 9.
Who is this for? Lab techs, microbiologists, QA teams validating sanitation steps, students learning log scales, and anyone who needs a fast, consistent way to communicate microbial reduction.
If you want to dig into the math behind the log scale, try our Log Calculator for quick log10 checks.
Enter your starting CFU (before)
Type the mantissa (for example, 1) and choose the multiplier (for example, x107) so the final value matches your count.
Enter your ending CFU (after)
This is often a different order of magnitude, so don’t be surprised if you switch the multiplier.
Read log reduction and percentage reduction
Both results update automatically when you provide the starting and ending counts.
Optional: back-calculate
You can also type a log reduction or a percent reduction to solve for the missing CFU value. The “blue” field is the one the calculator is currently solving.
Worked example
Suppose you measured:
Log reduction = log10(107/105) = log10(100) = 2
Percentage reduction = 100 × (1 − 10−2) = 99%
How to interpret the result: a 2-log reduction means the final count is about 100× lower than the initial count.
Inputs: 5 × 106 → 5 × 104
Result: 2-log reduction, 99% reduction
How to use it: Great for a quick pass/fail threshold when your SOP requires ≥2 log.
Inputs: 1 × 107 → 3 × 104
Result: ≈2.52-log reduction, ≈99.7% reduction
How to use it: Compare batches—small differences in log reduction are easier to see than huge CFU numbers.
Inputs: 2 × 105 → 2 × 102
Result: 3-log reduction, 99.9% reduction
How to use it: Useful for summarizing removal efficiency in a report or slide.
Inputs: starting 1 × 106, log reduction 4
Result: ending CFU ≈ 1 × 102
How to use it: Set goals (e.g., “we need at least 4 logs”) and see what the final count implies.
If your CFU estimate comes from serial dilution plating, our Cell Dilution Calculator can help you organize dilution steps.
This calculator is especially useful when:
When it may not fit: if your “counts” are not comparable (different sampling methods, different volumes, inconsistent plating), a log reduction can look precise while hiding messy measurement reality.
CFU counts can be huge. Entering them as mantissa × 10^exponent makes them readable and reduces typos.
If your ending CFU is reported as 0 (or “not detected”), the log reduction may be undefined/infinite. Use your lab’s reporting rules (LOD/LOQ) for a more meaningful statement.
A change from 3.0 to 3.1 logs can be real—or just normal plating variability. Use replicates and confidence intervals when it matters.
Save a “good” configuration in your favorites, or share a link with your teammate so you’re both looking at the same inputs.
The calculator uses base-10 logarithms (log10). Let:
Log reduction
log reduction = log10(Initial CFU / Final CFU)
Percentage reduction
% reduction = 100 × (Initial CFU − Final CFU) / Initial CFU
Handy mapping (same idea, different scale):
| Log reduction | Approx. % reduction |
|---|---|
| 1 | 90% |
| 2 | 99% |
| 3 | 99.9% |
| 4 | 99.99% |
| 5 | 99.999% |
What is CFU?
CFU stands for colony-forming unit. In many workflows, a “count” is really an estimate of how many colonies can grow on a plate under specific conditions.
Why logs instead of raw counts?
Microbial counts can span millions or more. Logs turn “huge ranges” into small, readable numbers, which makes it easier to compare treatments.
Why percentage reduction can be negative
In real experiments, the ending count can be higher than the starting count (growth, contamination, sampling differences). In that case, the “reduction” becomes negative — which is a useful signal that things went the wrong direction.
A 1-log reduction means the final count is 10× smaller. So the remaining fraction is 1/10, which means 9/10 is removed: 90%.
Log reduction uses a division by the ending count, so log10(Initial/0) is not defined. In practice, labs often report “below detection” and use the assay’s detection limit instead of literal zero.
Yes. If the ending count is higher than the starting count, the calculation will show a negative percentage. That usually indicates growth, contamination, or mismatched sampling.
It depends on your protocol, organism, and application. Many validation targets live in the 1–5 log range, but your SOP or regulatory guidance should be the final reference.
Yes—log reduction is typically reported using log10. If you need other bases for a math problem, use the log tool linked above.
They shouldn’t. The exponent selector is an equivalent unit switch (it’s just scientific notation). The calculator keeps the underlying CFU constant and only updates the displayed mantissa.
This calculator is a math helper. It can’t validate lab technique, sampling design, incubation conditions, or counting uncertainty. Always follow your lab’s protocol and interpret results in context.
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