The value correction in RxPlora uses a quadratic linear regression-based correction, which may be applied to data that show uniform signal variation across rows or columns or the whole plate.

RxPlora uses row identifier (X) and column identifier (Y) and well identifier (W) for deriving the parameters (K, R, C, A, and B).

CV = Z + M – (K + (X*R) + (Y*C) + ((W2)*A) + (W*B))

where CV is the corrected value, Z is the observed signal that needs to be corrected, and M is the mean observed signal value.