Knockdown slows cell proliferation
Compare proliferation across a control and knockdown.
2 conditions · 3 wells · 0–96 h
Get doubling time from cell counts or OD readings, with a 95% CI and a growth curve to download.
Hollow points are outside the fitted window.
| Condition | Window | Td | 95% CI | μ / R² |
|---|---|---|---|---|
| Control | 24–72 hPoints used: 9 | 22.9 hReplicate mean ± SD: 23.0 ± 0.2 | 21.9–24.1 | 0.0302 /hR² = 0.997 |
| siRNA | 24–72 hPoints used: 9 | 31.4 hReplicate mean ± SD: 31.5 ± 0.4 | 29.8–33.3 | 0.0220 /hR² = 0.996 |
Control: Using all points gives 26.6 h.
siRNA: Using all points gives 35.6 h.
Doubling times were estimated by least-squares linear regression of natural-log measurements on time over the exponential phase (Td = ln 2 / μ). The exponential phase was selected automatically. Each condition used 24–72 h, 3 time points and 9 observations. Each condition had 3 replicate wells. Slope confidence intervals were transformed to 95% doubling-time intervals when estimable.
Explore examples, then load one to use its data.
Compare proliferation across a control and knockdown.
2 conditions · 3 wells · 0–96 h
Compare growth under three treatment conditions.
3 doses · 3 wells · 0–120 h
Calculate growth between seeding and harvest.
Seeded 5×10⁵ · harvested 2.1×10⁶ · 72 h
Track population doublings over successive passages.
8 passages · 44 days
Subtract a medium blank before fitting E. coli growth.
OD600 every 30 min · 3 wells · blank 0.045
Compare the growth of two yeast strains.
2 strains · 2 cultures · 0–12 h
Turn time-course measurements into a growth curve and a doubling time.
Paste time and one column for each replicate well.
Review the selected window or choose your own.
Compare doubling time, confidence intervals and growth rates.
Download your figure and copy the methods text.
Doubling time (Td) can be estimated from two counts or from the specific growth rate (μ) during exponential growth.
Use two counts for a simple estimate, or fit the growth rate across an exponential interval.
Δt is elapsed time; N₀ and N are the initial and final counts. The final count must exceed the initial count.
μ is the slope from fitting ln(count) against time during the exponential phase. A positive slope gives a doubling time in the input time unit.
The default Control data give different estimates depending on which measurements are used.
| Method and measurements | Doubling time |
|---|---|
| First and last countsUses the mean counts at the first and last time points only. | 27.8 h |
| All time pointsFits all measurements across the complete time course. | 26.6 h |
| Exponential phaseFits only measurements in the selected 24–72 h interval. | 22.9 h |
During exponential growth, the log of cell count is approximately linear in time. Lag or plateau measurements can change the fitted slope, so selecting the exponential interval often gives a more relevant estimate.
The fit uses residual variation and a t distribution to estimate a 95% interval for the growth rate. Its bounds are then transformed into doubling time.
The lower and upper bounds are for μ. Both must be positive for the calculator to report a finite doubling-time interval.
Use population doubling level (PDL) to track cumulative growth across successive cell passages.
The subscripts mark harvested and seeded cell counts for one passage.
The starting PDL is the level before the first passage; add the population doublings (PD) from each passage.
Plan your measurements and report the conditions behind each estimate.
Measure at least three time points in the exponential phase.
Use replicate wells and report per-well mean ± SD or the pooled 95% CI.
Subtract the medium blank from OD600 and stay in the linear range.
Report the temperature, medium, seeding density and fitted time window. This context helps others interpret and reproduce the result.
Doubling time is the time a population takes to double in number during exponential growth.
Lag and plateau phases can slow growth. Auto selects a fast, continuous log (exponential) phase; hollow points lie outside it, and you can change the window manually.
For bacteria dividing by binary fission, the terms are often equivalent: generation time g = t / n, where n = log₂(N/N₀). Population doubling time is not necessarily the cell-cycle length of every cell.
Specific growth rate (μ) is the slope of log population size against time; μ = ln 2 / Td. The doubling rate k = 1 / Td is expressed in doublings per unit time.
Population doubling level (PDL) is the accumulated number of population doublings across passages; each passage contributes log₂(cells harvested / cells seeded).
Yes, when the measurement is proportional to cell number. Subtract the medium blank and check the instrument’s linear range; high confluence can cease to be proportional.
Report per-well mean ± SD or the pooled estimate with its 95% confidence interval, together with the fitted window and method. The results CSV includes each fitted well’s doubling time.
It depends on the culture conditions, so measure it for your own medium, temperature and seeding density.
Calculations stay in your browser. Download SVG, 300 DPI PNG or CSV, and copy the methods text.
Use your own counts or OD readings to create a growth curve.
Calculate your doubling time