Library / Automated ELISA / Results

Results

What a good run looks like — and how the robot proves it.

Expected output

A complete absorbance dataset across all 96 wells with a clean standard curve, ready to export. Because tip pickups, dispenses, and washes are vision-checked, plate-to-plate variability from handling is minimised — the variation you see should reflect your samples, not the pipetting.

What good looks like

Vision verification: every transfer is confirmed on camera during the run, and exceptions (a missed tip, a misaligned plate) are flagged and corrected in real time — so a failed plate is caught at the bench, not discovered at the reader.