When samples can safely wait between steps, automation can line them up and run them later — no one standing by.
A process is queueable when samples can safely wait between steps. Queueable processes are strong automation targets because experiments can be lined up and run later without a person present — the value is removing the need to be there at an exact moment.
Many lab workflows are limited by scheduling, not labour. A scientist may spend only a few minutes loading samples — but those minutes have to happen at a specific time, which creates supervision. Automation becomes valuable precisely when it removes the need for someone to be present at that moment.
An LCMS run can take several hours. If a person must load each sample by hand, the instrument mostly runs during working hours. If samples can be stored, queued, and loaded automatically, the same instrument runs overnight or on weekends. The automation may only move samples — the value is keeping the experiment moving.
Look for points where material can safely wait: samples in a fridge or freezer, plates waiting for analysis, purified material awaiting cleanup, tubes waiting for an instrument.
Queueing does more than raise throughput — it enables experiments people avoid because they'd need late-night timing, weekend work, or repeated check-ins. Good automation doesn't always make a protocol faster; sometimes it makes the protocol feasible to run at all.
