Analyze replicates, dilution, and sample volume in seconds. Visualize viability, mortality, concentration, and growth trends. Turn bench counts into dependable cell health insights fast.
This sample dataset demonstrates a healthy culture with three replicate counts and a standard two-fold dilution.
| Replicate | Live Cells | Dead Cells | Total Cells | Viability % |
|---|---|---|---|---|
| Replicate 1 | 88 | 12 | 100 | 88.00% |
| Replicate 2 | 91 | 9 | 100 | 91.00% |
| Replicate 3 | 86 | 14 | 100 | 86.00% |
| Average | 88.33 | 11.67 | 100.00 | 88.33% |
The calculator uses pooled counts for the main viability result and replicate statistics for consistency checks. Standard deviation and coefficient of variation help you judge technical repeatability.
It measures the proportion of living cells within the counted population. A higher percentage suggests healthier cultures, better handling, or less treatment-related damage during the assay.
Replicates improve confidence in the result. They help identify counting inconsistencies, reveal technical variability, and support a more reliable estimate of viability and concentration.
The chamber factor converts counted cells into cells per milliliter. Many hemocytometer workflows use 10,000, but you should match the factor to your counting method.
Dilution factor corrects the counted result back to the original sample strength. Without it, concentration estimates may be lower than the true value.
Acceptable viability depends on cell type and workflow. Many routine culture tasks prefer values above 80% or 85%, while sensitive downstream assays may need even higher viability.
A high coefficient of variation means your replicate viability values differ noticeably. That may suggest uneven mixing, poor staining, chamber loading issues, or inconsistent counting.
Yes. Enter treated sample counts and, if available, add a reference viability from the control. The calculator will show how far the treated sample differs.
Recovery percentage compares estimated viable cells in the sample against the seeded or expected cell number. It helps assess harvest efficiency or cell loss after treatment.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.