1. Establish what the culture is before optimizing it
Record the exact cell-line name, supplier or originating laboratory, catalogue or internal identifier, lot or vial identifier, passage information and date received. Similar names do not guarantee equivalent history or handling requirements.
Use the exact product sheet or transfer record as the primary source for medium, supplements, coating, atmosphere, recovery and subculture instructions. A general website should not silently replace those source-specific conditions.
- Define how identity will be checked and when the result is required.
- Decide whether the incoming culture will remain physically and operationally separated from established cultures.
- Record whether the material is known to be genetically modified, infectious, primary, stem-like or otherwise subject to additional institutional controls.
2. Define the baseline you expect to observe
A baseline is not a generic picture of “healthy cells.” It is a set of observations for this source, this vessel, this medium, this imaging setup and this laboratory.
Plan to capture comparable images and counts during the first stable passages. Record time since seeding, approximate confluence or aggregate occupancy, attachment pattern, morphology distribution, medium appearance and any unusual debris.
- Choose fixed observation times rather than photographing only when something looks wrong.
- Use the same magnification and comparable fields when documenting morphology trends.
- Keep raw counts, dilution factors and vessel details so later calculations can be reconstructed.
3. Separate culture-quality controls from experimental controls
Culture-quality controls answer whether the biological material is suitable to enter the experiment. Experimental controls answer whether the planned treatment, assay or comparison can support the intended conclusion.
Write both sets down. A technically elegant assay cannot rescue a culture with uncertain identity, hidden contamination or a drifting growth baseline.
- Culture quality: identity status, contamination status, recovery, morphology and growth trend.
- Experimental design: untreated or vehicle control, positive control, process control and relevant assay controls.
- Traceability: operator, reagent lots, instrument settings and deviations from the planned workflow.
4. Write change triggers and stop criteria before the run
A change trigger states which observation justifies a parameter change. A stop criterion states when continuing would create data that should not be interpreted as planned.
Examples include an unresolved contamination signal, identity not confirmed by the required milestone, widespread morphology drift, unexplained viability loss, or a control that fails its predefined acceptance condition.
Fillable experimental-planning worksheet
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