1. A method for determining the quality of a segmentation marker stained biological specimen, comprising: Acquiring separate image data of an unstained form of a biological specimen, the biological specimen stained with a nuclei marker and the biological specimen stained with a segmentation marker; Determining a correlation map (Cr) from the separate image data of the unstained form of the biological specimen, the biological specimen stained with the nuclei marker and the biological specimen stained with a segmentation marker; Determining a ridgeness map (Pr) from the image data of the biological specimen stained with the segmentation marker; and Determining a staining quality score from the correlation map (Cr) and the ridgeness map (Pr), wherein the step of determining the staining quality score comprises: i. Determining good staining probability map (Gp) by one of two methods: Method 1: deviation from identity line (Pr(x)=Cr(x)): Gp = Pr ⁡ ( x ) - Cr ⁡ ( x ) 1 + Cr ⁡ ( x ) Method 2: deviation from best-fit line, with zero intercept (Pr(x)=a×Cr(x): Gp = Pr ⁡ ( x ) - a × Cr ⁡ ( x ) 1 + a × Cr ⁡ ( x ) ii. Extracting good staining pixels (S g ) as follows: 
 S g ={∀xεI|Gp>τ} where τ is a deviation threshold; and iii. Computing a staining quality score S q as follows: S q =  S g   S b  × 10 wherein S b represents the rest of pixels in an image once the good quality pixels (Sg) are extracted from the image.