Biochemistry Analyzer Integration for Lab Software

Available today

SamLab reads clinical chemistry results from biochemistry analyzers over serial or Ethernet and posts them into result entry, with IQC available on the Pro plan and above. Panels like LFT, KFT and lipid profiles flow in without re-keying. Confirm your specific instrument by bringing its make and model to a demo.

The detail

Biochemistry analyzers post fewer parameters per sample than haematology but more samples per hour, and they are where unit mismatches bite — the same analyte reported in mg/dL by one machine and mmol/L by another. SamLab normalises units on the way in rather than leaving the discrepancy for whoever reads the report.

How it is set up

  1. 1

    Connect the analyzer to the lab PC over its existing port — RS-232 serial or TCP/IP, whichever the instrument already uses.

  2. 2

    Install the parser bundle for your exact make and model. It carries the protocol, the transport and the code map that ties the machine’s test codes to your SamLab catalogue.

  3. 3

    Run a live sample. Results land against the open order, matched by the barcode already on the tube.

  4. 4

    Check the raw packet log if a value looks wrong — SamLab keeps what the machine actually sent, so a mismatch is a mapping question, not a guess.

Questions labs ask

What if the analyzer reports different units from my catalogue?+

Unit normalisation runs on the inbound value, so the stored result matches your catalogue rather than the machine’s convention. This matters most where two instruments in the same lab disagree.

Are calculated parameters handled?+

Yes — values the machine derives arrive like any other, and values your catalogue derives (ratios, corrected calcium) are computed from the stored results.

Can I run two biochemistry analyzers at once?+

Yes. Each gets its own port and its own parser bundle. Labs running four instruments on one PC are in production today.

7-day free trial · no card

Try the whole lab, free for 7 days.

No card. No catch. Run SamLab on your own data — online or offline — and feel the difference before you pay a rupee.