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The hidden bottleneck: exceptions, not throughput

In our lab, sequencers aren’t the bottleneck anymore; exceptions are. A tipped plate, a mislabeled tube, a clogged tip, or a robot pause from a missing labware check can erase a week of pipetting optimizations. We used to chase 1% gains in liquid classes, then lose a morning to an avoidable halt.

The best ROI this quarter came from boring safeguards: plate warp sensing at check-in, 2D barcode verification on every handoff, dye-based deck validation before the first patient sample, and automatic quarantine paths in the LIMS when sensor signals and timestamps disagree. That cut reruns by 28% and stabilized TAT without touching core scripts.

If you had $10k to spend on reliability in a high-throughput genomics pipeline, what would you buy or build first: sensors, vision, better logging, or SOP changes?

DrVasquez

Jul 22 at 11:00 AM

I’d spend it on observability first: tighten time sync across instruments and LIMS (PTP or hardened NTP), stand up a central log collector, and add a couple of fixed deck cameras to capture pre- and post-handoff snapshots keyed to event IDs. That let us trace root causes in minutes and drove targeted SOP tweaks; after rollout we cut unclassified halts by ~30% without touching liquid classes.

The hidden bottleneck: exceptions, not throughput

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