mrcImageNormalizing

mrcImageNormalizing is Eos's Command that performs normalizing the value of image.

List of option

Main option

Option	Essential/Optional	Description	Default
-i	Essential	Input: mrcImage	NULL
-o	Essential	Output: mrcImage	NULL
-A	Optional	A	1.0
-B	Optional	B	0.0
-ContourMin	Optional	ContourMin	0.0
-ContourMax	Optional	ContourMax	1.0
-ContourSolvent	Optional	ContourSolvent	0.0
-c	Optional	ConfigurationFile	NULL
-m	Optional	Mode	0
-h	Optional	Help

-m details

Value	Description
0	Double Exponential: Solvent and Object Fitting histgram to double exponentials as Solvent and Object data = A*(data-MeanOfSolvent)/(MeanOfObject-MeanOfSolvent) + B
1	Min-Max: Background and Object data = A*(data-Min)/(Max-Min) + B
2	Contour data = A*(data-ContourMin)/(ContourMax-ContourMin) + B
3	Contour and Solvent if data < ContourSolvent, data = ContourSolvent. After this, calculate the below. data = A*(data-ContourMin)/(ContourMax-ContourMin) + B
4	No Estimation data = A*data + B
5	Assume the density as Gaussian data = A*Normalized(data) + B where normalized means (average=0, SD=1)

Execution example

Input file image

Min Max Mean SD SE

-18651.7 (10, 1, 0) 52942.7 (24, 39, 0) 7214.87 10067.6 125.845

Example of options only essential

Min Max Mean SD SE

-0.00221962 (10, 1, 0) 0.00448009 (24, 39, 0) 0.000200939 0.000942109 1.17764e-05

Option -A, -B

Case: A=1000, B=3

Min Max Mean SD SE

0.780381 (10, 1, 0) 7.48009 (24, 39, 0) 3.20094 0.942109 0.0117764

Option -m

Case: m=5

Case: A=1, B=0

Min Max Mean SD SE

-2.5693 (10, 1, 0) 4.5421 (24, 39, 0) -3.70619e-12 1 0.0125

Data is Normalized as Mean=0, SD=1.

Case: A=3, B=2

Min Max Mean SD SE

-5.70789 (10, 1, 0) 15.6263 (24, 39, 0) 2 3 0.0375

Data is Normalized as Mean=2, SD=3.