WeightCalculationOfCommonLineSearchByAllSinogram

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WeightCalculationOfCommonLineSearchByAllSinogram is Eos's Command.


List of option

Main option

Option Essential/Optional Description Default
-In1 Optional Input1: ASCII(File List)(normal correlation) NULL
-In2 Optional Input2: ASCII(File List)(derivation1D correlation) NULL
-In3 Optional Input3: ASCII(File List)(derivation2D correlation) NULL
-In4 Optional Input4: ASCII(File List)(length correlation) NULL
-o Essential Output: ASCII NULL
-c Optional ConfigurationFile NULL
-m Optional Mode 0
-M Optional Mode : choice of used Correlation 15
-v Optional variance of Gaussian weight function 5
-h Optional Help 　


-m details

Value Description
0 get memory of mrcImage
1 don't get memory of mrcImage


-M details

Value Description
+1 used to -In1
+2 used to -In2
+4 used to -In3
+8 used to -In4
15 used to All Correlation
Use 2 or above modes combined.


-i1, -12, -i3, -i4 format

CorFile  mrcfile1  mrcfile2  Rot1  Rot2  Mode
         .                       .                     .             .        .         .
         .                       .                     .             .        .         .
CorFile is used by being put at same directory as File List.
cf. mrcImagesSinogramCorrelation about file structure.


Execution example

Input file data

-i1 data

Input-1VOM-2D-sin_Input-1VOM-Rot-2D-sin.Normal.cor Input-1VOM-2D-sin.mrc Input-1VOM-Rot-2D-sin.mrc 1.570796 1.570796 1
Input-1VOM-2D-sin_Input-1VOM-Rot1-2D-sin.Normal.cor Input-1VOM-2D-sin.mrc Input-1VOM-Rot1-2D-sin.mrc 0.000000 0.000000 z-rotation
Input-1VOM-Rot-2D-sin_Input-1VOM-Rot1-2D-sin.Normal.cor Input-1VOM-Rot-2D-sin.mrc Input-1VOM-Rot1-2D-sin.mrc 1.570796 1.570796 1


Input-1VOM-2D-sin_Input-1VOM-Rot-2D-sin.Normal.cor
Input-1VOM-SinCor1-1.png

Min

Max
Mean
SD

SE

-0.925733 (174, 223, 0)

0.986152 (271, 281, 0)
0.203463
0.411921

0.00114423


Input-1VOM-2D-sin_Input-1VOM-Rot3-2D-sin.Normal.cor
Input-1VOM-SinCor1-2.png

Min

Max
Mean
SD

SE

-0.969656 (10, 168, 0)

0.96977 (10, 357, 0)
0.199734
0.487223

0.0013534


Input-1VOM-Rot-2D-sin_Input-1VOM-Rot3-2D-sin.Normal.cor
Input-1VOM-SinCor1-3.png

Min

Max
Mean
SD

SE

-0.79716 (206, 183, 0)

0.986575 (190, 120, 0)
0.251101
0.368028

0.0010223


-i2 data

Input-1VOM-2D-sin_Input-1VOM-Rot-2D-sin.Derivation1D.cor Input-1VOM-2D-sin.mrc Input-1VOM-Rot-2D-sin.mrc 1.570796 1.570796 1
Input-1VOM-2D-sin_Input-1VOM-Rot1-2D-sin.Derivation1D.cor Input-1VOM-2D-sin.mrc Input-1VOM-Rot1-2D-sin.mrc 0.000000 0.000000 z-rotation
Input-1VOM-Rot-2D-sin_Input-1VOM-Rot1-2D-sin.Derivation1D.cor Input-1VOM-Rot-2D-sin.mrc Input-1VOM-Rot1-2D-sin.mrc 1.570796 1.570796 1


Input-1VOM-2D-sin_Input-1VOM-Rot-2D-sin.Derivation1D.cor
Input-1VOM-SinCor2-1.png

Min

Max
Mean
SD

SE

-0.999642 (131, 329, 0)

0.921779 (132, 73, 0)
0.0604004
0.241042

0.00066956


Input-1VOM-2D-sin_Input-1VOM-Rot3-2D-sin.Derivation1D.cor
Input-1VOM-SinCor2-2.png

Min

Max
Mean
SD

SE

-0.995358 (132, 121, 0)

0.991247 (133, 4, 0)
0.0859721
0.247723

0.000688118


Input-1VOM-Rot-2D-sin_Input-1VOM-Rot3-2D-sin.Derivation1D.cor
Input-1VOM-SinCor2-3.png

Min

Max
Mean
SD

SE

-0.98175 (356, 217, 0)

0.97865 (0, 217, 0)
0.0731451
0.245175

0.000681042


-i3 data

Input-1VOM-2D-sin_Input-1VOM-Rot-2D-sin.Derivation2D.cor Input-1VOM-2D-sin.mrc Input-1VOM-Rot-2D-sin.mrc 1.570796 1.570796 1
Input-1VOM-2D-sin_Input-1VOM-Rot1-2D-sin.Derivation2D.cor Input-1VOM-2D-sin.mrc Input-1VOM-Rot1-2D-sin.mrc 0.000000 0.000000 z-rotation
Input-1VOM-Rot-2D-sin_Input-1VOM-Rot1-2D-sin.Derivation2D.cor Input-1VOM-Rot-2D-sin.mrc Input-1VOM-Rot1-2D-sin.mrc 1.570796 1.570796 1


Input-1VOM-2D-sin_Input-1VOM-Rot-2D-sin.Derivation2D.cor
Input-1VOM-SinCor3-1.png

Min

Max
Mean
SD

SE

-1 (285, 75, 0)

1 (285, 61, 0)
nan
nan

nan


Input-1VOM-2D-sin_Input-1VOM-Rot3-2D-sin.Derivation2D.cor
Input-1VOM-SinCor3-2.png

Min

Max
Mean
SD

SE

-1 (158, 33, 0)

1 (158, 30, 0)
0.0945901
0.227151

0.000630976


Input-1VOM-Rot-2D-sin_Input-1VOM-Rot3-2D-sin.Derivation2D.cor
Input-1VOM-SinCor3-3.png

Min

Max
Mean
SD

SE

-0.970911 (132, 30, 0)

1 (135, 30, 0)
0.104829
0.220026

0.000611183


-i4 data

Input-1VOM-2D-sin_Input-1VOM-Rot-2D-sin.Length.cor Input-1VOM-2D-sin.mrc Input-1VOM-Rot-2D-sin.mrc 1.570796 1.570796 1
Input-1VOM-2D-sin_Input-1VOM-Rot1-2D-sin.Length.cor Input-1VOM-2D-sin.mrc Input-1VOM-Rot1-2D-sin.mrc 0.000000 0.000000 z-rotation
Input-1VOM-Rot-2D-sin_Input-1VOM-Rot1-2D-sin.Length.cor Input-1VOM-Rot-2D-sin.mrc Input-1VOM-Rot1-2D-sin.mrc 1.570796 1.570796 1


Input-1VOM-2D-sin_Input-1VOM-Rot-2D-sin.Length.cor
Input-1VOM-SinCor4-1.png

Min

Max
Mean
SD

SE

0.778626 (27, 38, 0)

1 (27, 0, 0)
0.946219
0.047809

0.000132803


Input-1VOM-2D-sin_Input-1VOM-Rot3-2D-sin.Length.cor
Input-1VOM-SinCor4-2.png

Min

Max
Mean
SD

SE

0.699187 (27, 191, 0)

1 (0, 0, 0)
0.93032
0.0611702

0.000169917


Input-1VOM-Rot-2D-sin_Input-1VOM-Rot3-2D-sin.Length.cor
Input-1VOM-SinCor4-3.png

Min

Max
Mean
SD

SE

0.699187 (0, 191, 0)

1 (67, 0, 0)
0.93353
0.0580325

0.000161201


Case: Options only essential

Output
Input data get end : CommonLinePositionData
Input data get end : CommonLinePositionData
Input data get end : CommonLinePositionData
Input data get end : CommonLinePositionData
weight calculation start

deltaweight = 1.414214
FinalCorrelationMin = 10.000000 
weight[0][1.414214, 8.000000] >>>> weightMinOfCorrelation = 0.000000
weight[1][1.414214, 8.000000] >>>> weightMinOfCorrelation = 0.000000
weight[2][1.414214, 8.000000] >>>> weightMinOfCorrelation = 0.000000
weight[3][1.414214, 8.000000] >>>> weightMinOfCorrelation = 0.000000

deltaweight = 1.189207
FinalCorrelationMin = 3.000000 
weight[0][0.000000, 0.000000] >>>> weightMinOfCorrelation = 0.000000
weight[1][0.000000, 0.000000] >>>> weightMinOfCorrelation = 0.000000
weight[2][0.000000, 0.000000] >>>> weightMinOfCorrelation = 0.000000
weight[3][0.000000, 0.000000] >>>> weightMinOfCorrelation = 0.000000

deltaweight = 1.090508
FinalCorrelationMin = 3.000000 
weight[0][0.000000, 0.000000] >>>> weightMinOfCorrelation = 0.000000
weight[1][0.000000, 0.000000] >>>> weightMinOfCorrelation = 0.000000
weight[2][0.000000, 0.000000] >>>> weightMinOfCorrelation = 0.000000
weight[3][0.000000, 0.000000] >>>> weightMinOfCorrelation = 0.000000

...

deltaweight = 1.000000
FinalCorrelationMin = 3.000000 
weight[0][0.000000, 0.000000] >>>> weightMinOfCorrelation = 0.000000
weight[1][0.000000, 0.000000] >>>> weightMinOfCorrelation = 0.000000
weight[2][0.000000, 0.000000] >>>> weightMinOfCorrelation = 0.000000
weight[3][0.000000, 0.000000] >>>> weightMinOfCorrelation = 0.000000

deltaweight = 1.000000
FinalCorrelationMin = 3.000000 
weight[0][0.000000, 0.000000] >>>> weightMinOfCorrelation = 0.000000
weight[1][0.000000, 0.000000] >>>> weightMinOfCorrelation = 0.000000
weight[2][0.000000, 0.000000] >>>> weightMinOfCorrelation = 0.000000
weight[3][0.000000, 0.000000] >>>> weightMinOfCorrelation = 0.000000


-o 's data
Weight of I1 is 0.000000
Weight of I2 is 0.000000
Weight of I3 is 0.000000
Weight of I4 is 0.000000


Option -M

Case: M=3

Case: No other settings
Weight of I1 is 0.771105
Weight of I2 is 3.459215


Case: v=1
Weight of I1 is 0.840896
Weight of I2 is 3.772301


Case: m=1
Output
Input data get end : CommonLinePositionData
Input data get end : CommonLinePositionData
weight calculation start

deltaweight = 1.414214
FinalCorrelationMin = 2.628996 
weight[0][1.414214, 8.000000] >>>> weightMinOfCorrelation = 1.414214
weight[1][1.414214, 8.000000] >>>> weightMinOfCorrelation = 7.071068

deltaweight = 1.189207
FinalCorrelationMin = 2.616069 
weight[0][1.000000, 2.000000] >>>> weightMinOfCorrelation = 1.000000
weight[1][5.000000, 10.000000] >>>> weightMinOfCorrelation = 9.756828

deltaweight = 1.090508
FinalCorrelationMin = 2.612862 
weight[0][0.840896, 1.189207] >>>> weightMinOfCorrelation = 0.840896
weight[1][8.204482, 11.602890] >>>> weightMinOfCorrelation = 11.476005

...

deltaweight = 1.000000
FinalCorrelationMin = 2.612196 
weight[0][0.771105, 0.771105] >>>> weightMinOfCorrelation = 0.771105
weight[1][11.567817, 11.567817] >>>> weightMinOfCorrelation = 11.567817

deltaweight = 1.000000
FinalCorrelationMin = 2.612196 
weight[0][0.771105, 0.771105] >>>> weightMinOfCorrelation = 0.771105
weight[1][11.567817, 11.567817] >>>> weightMinOfCorrelation = 11.567817

deltaweight = 1.000000
FinalCorrelationMin = 2.612196 
weight[0][0.771105, 0.771105] >>>> weightMinOfCorrelation = 0.771105
weight[1][11.567817, 11.567817] >>>> weightMinOfCorrelation = 11.567817


-o 's data
Weight of I1 is 0.771105
Weight of I2 is 11.567817


Case: M=5

Weight of I1 is 0.000000
Weight of I2 is 0.000000


Case: M=6

Weight of I1 is 0.000000
Weight of I2 is 0.000000


Case: M=7

Weight of I1 is 0.000000
Weight of I2 is 0.000000
Weight of I3 is 0.000000


Case: M=9

Weight of I1 is 0.840327
Weight of I2 is 3.769748


Case: M=10

Weight of I1 is 0.840327
Weight of I2 is 3.769748


Case: M=11

Weight of I1 is 0.766941
Weight of I2 is 0.766941
Weight of I3 is 11.505344


Case: M=12

Weight of I1 is 0.000000
Weight of I2 is 0.000000


Case: M=13

Weight of I1 is 0.000000
Weight of I2 is 0.000000
Weight of I3 is 0.000000


Case: M=14

Weight of I1 is 0.766941
Weight of I2 is 0.766941
Weight of I3 is 11.505344


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