LC-MS-IQ organizes run review in the order laboratories actually make decisions: validate peaks, evaluate calibration, evaluate QC, determine whether unknowns are ready, and preserve a clear review record.
Start with the files your lab already exports. LC-MS-IQ reads the run data and prepares a structured review instead of forcing manual spreadsheet cleanup.
Before calibration or QC decisions are trusted, LC-MS-IQ checks peak-level problems that can distort run interpretation.
Calibration is evaluated before QC and unknowns. If calibration fails for an analyte, downstream interpretation is blocked for that analyte.
QC review determines whether an analyte is acceptable for unknown review. Failed QC stops unknown interpretation while preserving the failure reason.
Unknown samples are only evaluated after calibration and QC are acceptable for that analyte. This keeps reporting decisions aligned with the laboratory review sequence.
Accepted runs can feed historical health monitoring, helping laboratories see drift before it becomes a daily failure.
LC-MS-IQ separates calibration, QC, and unknown readiness so the reason for a failed analyte is visible without mixing every issue into one generic status.
Create an account or request a demo to see how LC-MS-IQ can fit into your existing LC-MS review process.