What the test measures. What people handle. Where automation already exists.
Scope of your list: analytical testing and quality control (QC), across biotech and chemical labs.
This is not a complete biotech-labor map. Cell culture, upstream processing, purification, lab logistics and many supporting tasks sit outside these 20 entries.
| Instrument / test | Handling / measurement |
|---|
These are customer-discovery hypotheses, not a market ranking. The shortlist changes with sample volume, variation, existing equipment, and how often a person must intervene.
ELISA and qPCR repeat many of the same motions: dispensing, lids or seals, plate transport and loading. Watch a full batch to find the transitions that still need a person.
Existing baseline: liquid handling and integrated ELISA systems already cover substantial work.
Example: Hamilton ELISA automation ↗HPLC, GC and elemental analysis often start with an already-prepared sample. Investigate the labor that precedes the rack: identifying, opening, diluting, filtering, capping and reconciling positions.
Key question: can one constrained preparation recipe account for enough recurring labor?
Example: Agilent sample-preparation workflow ↗Bioburden and sterility workflows combine packaging, lids, connections and transfers. Reliable handling must include contamination control and recovery from a failed step.
Existing baseline: filtration consumables and guided pumps already reduce manual steps; robotics is being developed here too.
Example: SKAN sterility-testing work ↗Missing from this list: cell culture, media preparation, centrifugation as a standalone task, weighing, cold storage, aliquoting, sample receipt, waste handling and inventory replenishment. Include these in customer interviews.
All 20 original entries and their measurement/context labels come from biotech-equipment.tsv. The source data is preserved in each entry's “Original list & sources” section. Additional workflow descriptions synthesize the linked manufacturer or university material. Robotics challenges and startup hypotheses are editorial inferences, not measured task times or proof of customer demand.
Pictures are frames from the credited videos, embedded in this file so they remain available offline. The smaller filmstrips use low-resolution storyboard frames. Excerpt boundaries were selected using available captions and visually inspected storyboard frames. Caption availability varies, and some captions are automatically generated. The excerpts are bounded playback selections from the original hosted videos, not downloaded or re-encoded video files. Internet access is required; the original-source link remains available if a publisher disables embedding.
Each demonstration covers the named variant, not every method grouped in its row. These are learning examples, not operational lab procedures. No market-size, willingness-to-pay or labor-saving numbers are assumed. Sources checked September 25, 2026.