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Liquid-Handling Robot vs Human Pipetting: Precision Statistics (2D)

2D pipetting-precision lab: robot and human each dispense repeated trials of a target volume; live dual histograms, running mean/SD/CV%, and a real fatigue model that grows human variance and bias as the session goes on.

Robotics & Kinematics2DModerate60 FPS📱 Mobile-adapted⇄ 3D version

This 2D companion turns the robot-vs-human pipetting comparison into a running statistics lab: both "operators" dispense the same target volume trial after trial, sampled from Gaussian noise with their own σ and bias, and a real fatigue model widens the human's σ and drifts the human's bias upward as the session progresses — exactly the pattern documented in manual-pipetting QC studies. Live dual histograms, sample mean/SD, CV% (the same coefficient-of-variation metric a lab QC report uses), and a fatigue-vs-trial curve make the statistical case for automation directly readable instead of implied by an animation.

⚙ Under the hood

2D pipetting-precision lab with robot and human each dispensing repeated trials of a target volume; live dual histograms, running mean/SD/CV%, and a real fatigue model that grows human variance and bias as the session goes on.

pipettingcoefficient of variationgaussian noiselab automationquality controlstatistics

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install