qPCR run

The prompt

Build a qPCR review screen for a small plate. One row is the target gene, one row is a reference gene. Each row has a standard curve over several dilutions, a control in triplicate, a treated sample in triplicate, and a no-template well. Show the amplification curves and the melt curves, and the cycle where each well crossed the line.

I call the run good, or I name one fault: primer dimer, contamination in the no-template well, a standard curve that amplified poorly, inhibition, or a pipetting miss in a triplicate. If the run is good, I also report how many times higher the target is in the treated sample, after accounting for the reference. On a bad run, naming the fault is the whole score. On a good run, calling it good is only part, and the fold change is the rest. A close fold change should count more than a wild one. Do not mark the fault on the plate before I submit. Several runs, one per fault and a clean one. The same run should be the same curves.

# AI : shared Action contract — the page posts {"move": "..."}; keep this shape.
from pydantic import BaseModel


class Action(BaseModel):
    move: str