Resources / For scientists

Know whether physical conditions shaped your experiment.

When a cell culture run fails, an incubator drifts, or a sample behaves differently than expected, scientists need to reconstruct the physical context around the experiment window: CO2, temperature, humidity, disturbance, storage exposure, equipment state, and operator actions.

Experiment failure reconstruction

From "the cells failed" to a physical timeline you can inspect.

The point is not to blame one device. The point is to see whether the physical environment, equipment behavior, storage exposure, or handling history can explain a result before the team repeats the experiment blind.

Example experiment window Cell culture CO2 drift investigation
  1. Fri 18:20

    Run begins Culture plate enters incubator; experiment window and responsible user are recorded.

  2. Sat 02:14

    CO2 drift detected CO2 concentration moves outside the configured threshold for the incubator group.

  3. Sat 02:16

    Disturbance linked Door-open and room-condition context are attached to the same time window.

  4. Mon 09:10

    Result reviewed Scientist compares growth result against CO2, humidity, temperature, and disturbance history.

  5. Mon 09:35

    Repeat decision The team decides whether to rerun, exclude, annotate, or include the physical context in methods notes.

Condition history

CO2, temperature, humidity

Experiment windows can be overlaid with environmental and equipment condition history.

Disturbance context

Door, access, and room events

Physical disturbances can be reviewed alongside experiment timing instead of reconstructed from memory.

Sample context

Storage and handling exposure

Sample movement, storage location, and condition exposure can stay attached to the scientific record.

Reproducibility scoring

Make hidden operating variables visible before comparing results.

Reproducibility is not only protocol and reagent identity. In wet labs, outcomes can be shaped by room state, storage history, instrument behavior, access events, training status, and response timing. iLabService turns those variables into structured physical context.

Environment

Was the room or equipment stable?

Review temperature, humidity, CO2, oxygen, pressure, IAQ, power, and door state during the experimental window.

Equipment

Was the instrument behaving normally?

Connect usage, maintenance, calibration context, power behavior, alarms, booking, and service history.

Samples

Was sample exposure controlled?

Link sample location, custody, retrieval, return, storage condition, and exception events to the experiment.

People

Who handled the workflow?

Connect access, training readiness, task ownership, acknowledgement, and response records to the scientific event.

Methods-ready context

Use physical context as evidence, not a side note.

Methods

Document actual conditions

Export condition windows, equipment state, storage exposure, and handling context that support methods and supplementary records.

Failure review

Decide whether to rerun

Use physical context to decide whether an experiment failed because of protocol, sample, reagent, equipment, or environment.

AI4S

Provide physical ground truth

Give anomaly detection, reproducibility scoring, and predictive maintenance models trusted operating context instead of disconnected logs.