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Falcon 3 overdose in EC mode

1 reply [Last post]
Crick_user
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Joined: 19 Nov 2016

Hi there,

I am really sorry to open another topic about F3 overdose in EC mode but the other one got no reply and I am really keen on getting FindDQE (v1.06) working.

Let me first say that I had absolute no problem in measuring the DQE in linear mode. For EC mode, I have measured a total dose of 40 e/A2 both in EPU and Falcon Image Reference Manager. The dose measurements I got from the two tools match perfectly. However, when I run FindDQE the DQE goes well above 1.0.

Could it be the counts multiplier? How do I calculate a correct one?

I would be happy to share the micrographs (wetransfer or drive) if that can help!

Total dose= 40 e/A2 (total: 31.613 e/px; dose 0.6 e/px/s, exposure 52.3 s)
Apix= 0.889

FindDQE log:

################################################

FindDQE - Determine DQE of a detector
V1.06 - 06.07.15

Copyright 2013 Howard Hughes Medical Institute.
All rights reserved.
Use is subject to Janelia Farm Research Campus Software Copyright 1.1
license terms ( http://license.janelia.org/license/jfrc_copyright_1_1.html )

You can input either the counts/electron
(gain conversion factor) or the total electron dose/pixel.
Enter 1 to input counts/electron, 2 for total dose/pixel
2
2

Enter total electron dose/pixel
31.613
31.61300

Enter counts multiplier (usually 1).
1
1.000000

Enter number of images
(usually 1; 2 if also giving flat field image)
2
2

Input image with pointer silhouette
Falcon3_EC_40eA_120K_fullBeamStop_1.mrc
Falcon3_EC_40eA_120K_fullBeamStop_1.mrc

Opening MRC/CCP4 file for READ...
File : Falcon3_EC_40eA_120K_fullBeamStop_1.mrc
NX, NY, NZ: 4096 4096 1
MODE : real
Min, max : 0.000000 16287.00
Mean, RMS : 3234.504 707.4712
TITLE 1: EMAN 10/02/2017 10:49

2nd (flat field) input image
Falcon3_EC_40eA_120K_noBeamStop_1.mrc
Falcon3_EC_40eA_120K_noBeamStop_1.mrc

Output residual image
out4
out4

Reading in image

DMIN,DMAX,DMEAN= 0.000000 16287.00 3234.504

Opening MRC/CCP4 file for READ...
File : Falcon3_EC_40eA_120K_noBeamStop_1.mrc
NX, NY, NZ: 4096 4096 1
MODE : real
Min, max : 2052.000 15148.00
Mean, RMS : 3373.796 278.7028
TITLE 1: EMAN 10/02/2017 10:49

DMIN,DMAX,DMEAN= 2052.000 15148.00 3373.796

Determining image threshold

Threshold = 1738.311
N, DMEAN, DRMS inside pointer = 699447 106.0155 93.16451
N, DMEAN, DRMS outside pointer = 16077769 3370.606 278.5605
Gain conversion factor (counts/e) = 106.6209

2nd image:
N, DMEAN, DRMS outside pointer = 16077769 3373.812 278.7415
Gain conversion factor (counts/e) = 106.7223

Thresholding image
Removing single pixel outliers

Number of pixel outliers = 8

Generating smooth-edged mask for NPS calculation
Tapering edges of image
Applying mask to background
Calculating noise power spectrum
Calculating rotational average
Fitting noise spectrum with splines

Number of knots in spline = 100
Chi2 = 157975.6

Determining MTF from edge blurring using 5-Gaussian model

Coeff-1 Width-1 Coeff-2 Width-2 Coeff-3 Width-3 Coeff-4 Width-4 Coeff-5 Width-5 NormRMS
0.20000 10.00000 0.20000 8.00000 0.20000 6.00000 0.20000 4.00000 0.20000 2.00000 0.07262
0.20000 9.00000 0.20000 8.00000 0.20000 6.00000 0.20000 4.00000 0.20000 2.00000 0.07255
0.20000 1.00000 0.20000 8.00000 0.20000 6.00000 0.20000 4.00000 0.20000 2.00000 0.07185
0.20000 0.54996 0.20000 8.00000 0.20000 6.00000 0.20000 4.00000 0.20000 2.00000 0.07184
0.20000 0.00040 0.20000 8.00000 0.20000 6.00000 0.20000 4.00000 0.20000 2.00000 0.07183
1.20000 0.00040 0.20000 8.00000 0.20000 6.00000 0.20000 4.00000 0.20000 2.00000 0.07165
1.10534 0.00040 0.20000 8.00000 0.20000 6.00000 0.20000 4.00000 0.20000 2.00000 0.07164
1.02585 0.00040 0.20000 8.00000 0.20000 6.00000 0.20000 4.00000 0.20000 2.00000 0.07164
0.97432 0.00040 0.20000 8.00000 0.20000 6.00000 0.20000 4.00000 0.20000 2.00000 0.07163
0.93488 0.00040 0.20000 8.00000 0.20000 6.00000 0.20000 4.00000 0.20000 2.00000 0.07163
0.90674 0.00040 0.20000 8.00000 0.20000 6.00000 0.20000 4.00000 0.20000 2.00000 0.07163
0.90674 0.00040 0.20000 7.00000 0.20000 6.00000 0.20000 4.00000 0.20000 2.00000 0.07162
0.90674 0.00040 0.20000 3.00000 0.20000 6.00000 0.20000 4.00000 0.20000 2.00000 0.07161
0.90674 0.00040 0.20000 5.17341 0.20000 6.00000 0.20000 4.00000 0.20000 2.00000 0.07160
0.90674 0.00040 0.20000 4.84288 0.20000 6.00000 0.20000 4.00000 0.20000 2.00000 0.07160
0.90674 0.00040 0.20000 4.45107 0.20000 6.00000 0.20000 4.00000 0.20000 2.00000 0.07160
0.90674 0.00040 0.20000 4.32883 0.20000 6.00000 0.20000 4.00000 0.20000 2.00000 0.07160
0.90674 0.00040 1.20000 4.32883 0.20000 6.00000 0.20000 4.00000 0.20000 2.00000 0.07159
0.90674 0.00040 0.81746 4.32883 0.20000 6.00000 0.20000 4.00000 0.20000 2.00000 0.07158
0.90674 0.00040 0.74727 4.32883 0.20000 6.00000 0.20000 4.00000 0.20000 2.00000 0.07158
0.90674 0.00040 0.67891 4.32883 0.20000 6.00000 0.20000 4.00000 0.20000 2.00000 0.07158
0.90674 0.00040 0.65699 4.32883 0.20000 6.00000 0.20000 4.00000 0.20000 2.00000 0.07158
0.90674 0.00040 0.65699 4.32883 0.20000 5.00000 0.20000 4.00000 0.20000 2.00000 0.07157
0.90674 0.00040 0.65699 4.32883 0.20000 3.34844 0.20000 4.00000 0.20000 2.00000 0.07156
0.90674 0.00040 0.65699 4.32883 0.20000 3.14270 0.20000 4.00000 0.20000 2.00000 0.07156
0.90674 0.00040 0.65699 4.32883 0.20000 3.03745 0.20000 4.00000 0.20000 2.00000 0.07156
0.90674 0.00040 0.65699 4.32883 1.20000 3.03745 0.20000 4.00000 0.20000 2.00000 0.07154
0.90674 0.00040 0.65699 4.32883 2.20000 3.03745 0.20000 4.00000 0.20000 2.00000 0.07153
0.90674 0.00040 0.65699 4.32883 1.80675 3.03745 0.20000 4.00000 0.20000 2.00000 0.07153
0.90674 0.00040 0.65699 4.32883 1.99692 3.03745 0.20000 4.00000 0.20000 2.00000 0.07153
0.90674 0.00040 0.65699 4.32883 1.99692 3.03745 0.20000 3.00000 0.20000 2.00000 0.07153
0.90674 0.00040 0.65699 4.32883 1.99692 3.03745 0.20000 1.54167 0.20000 2.00000 0.07153
0.90674 0.00040 0.65699 4.32883 1.99692 3.03745 1.20000 1.54167 0.20000 2.00000 0.07153
0.90674 0.00040 0.65699 4.32883 1.99692 3.03745 0.93678 1.54167 0.20000 2.00000 0.07153
0.90674 0.00040 0.65699 4.32883 1.99692 3.03745 0.84882 1.54167 0.20000 2.00000 0.07153
0.90674 0.00040 0.65699 4.32883 1.99692 3.03745 0.80844 1.54167 0.20000 2.00000 0.07153
0.90674 0.00040 0.65699 4.32883 1.99692 3.03745 0.80844 1.54167 0.20000 3.00000 0.07153
0.90674 0.00040 0.65699 4.32883 1.99692 3.03745 0.80844 1.54167 0.20000 2.61009 0.07152
0.90674 0.00040 0.65699 4.32883 1.99692 3.03745 0.80844 1.54167 1.20000 2.59103 0.07152
0.90674 0.00040 0.65699 4.32883 1.99692 3.03745 0.80844 1.54167 2.20000 2.59103 0.07152
0.90674 0.00040 0.65699 4.32883 1.99692 3.03745 0.80844 1.54167 2.90870 2.59103 0.07152
0.90674 0.00040 0.65699 4.32883 1.99692 3.03745 0.80844 1.54167 4.13882 2.59103 0.07152
0.90674 0.00040 0.65699 4.32883 1.99692 3.03745 0.80844 1.54167 5.24065 2.59103 0.07152
0.90674 0.00040 0.65699 4.32883 1.99692 3.03745 0.80844 1.54167 6.53865 2.59103 0.07151
0.90674 0.00040 0.65699 4.32883 1.99692 3.03745 0.80844 1.54167 7.94335 2.59103 0.07151
0.90674 0.00040 0.65699 4.32883 1.99692 3.03745 0.80844 1.54167 9.61511 2.59103 0.07151
0.90674 0.00040 0.65699 4.32883 1.99692 3.03745 0.80844 1.54167 11.40053 2.59103 0.07151
0.90674 0.00040 0.65699 4.32883 1.99692 3.03745 0.80844 1.54167 13.37934 2.59103 0.07151
0.90674 0.00040 0.65699 4.32883 1.99692 3.03745 0.80844 1.54167 14.61150 2.59103 0.07151
0.90674 0.00040 0.65699 4.32883 1.99692 3.03745 0.80844 1.54167 15.84497 2.59103 0.07151
0.90674 0.00040 0.65699 4.32883 1.99692 3.03745 0.80844 1.54167 25.84497 2.59103 0.07151
0.90674 0.00040 0.65699 4.32883 1.99692 3.03745 0.80844 1.54167 21.21415 2.59103 0.07151
0.90513 0.02321 0.65595 4.33721 1.99282 3.04421 0.80705 1.52902 21.16620 2.58968 0.07151
0.90121 0.07873 0.65341 4.35759 1.98285 3.06065 0.80367 1.49825 21.04952 2.58640 0.07151
0.90026 0.09212 0.65280 4.36250 1.98044 3.06462 0.80286 1.49084 21.02140 2.58561 0.07151
0.89675 0.14174 0.65053 4.38072 1.97152 3.07932 0.79984 1.46333 20.91710 2.58268 0.07151
1.54128 0.14727 0.65028 4.38276 1.97053 3.08096 0.79950 1.46027 20.90548 2.58235 0.07151
2.03142 0.14727 0.65028 4.38276 1.97053 3.08096 0.79950 1.46027 20.90548 2.58235 0.07151
2.18437 0.14727 0.65028 4.38276 1.97053 3.08096 0.79950 1.46027 20.90548 2.58235 0.07151
2.18437 0.14727 0.65028 2.26283 1.97053 3.08096 0.79950 1.46027 20.90548 2.58235 0.07151
2.18437 0.14727 1.65028 2.26283 1.97053 3.08096 0.79950 1.46027 20.90548 2.58235 0.07151
2.18437 0.14727 1.90116 2.26283 1.97053 3.08096 0.79950 1.46027 20.90548 2.58235 0.07151
2.18437 0.14727 11.90116 2.26283 1.97053 3.08096 0.79950 1.46027 20.90548 2.58235 0.07151
2.18437 0.14727 7.31833 2.26283 1.97053 3.08096 0.79950 1.46027 20.90548 2.58235 0.07151
2.18437 0.14727 7.31833 2.26283 2.97053 3.12706 0.79950 1.46027 20.90548 2.58235 0.07151
2.18437 0.14727 7.31833 2.26283 2.97053 3.12706 0.23539 1.46027 20.90548 2.58235 0.07151
2.18437 0.14727 7.31833 2.26283 2.97053 3.12706 0.13296 1.46027 20.90548 2.58235 0.07151
2.18437 0.14727 7.31833 2.26283 2.97053 3.12706 0.02086 1.46027 20.90548 2.58235 0.07151
2.18437 0.14727 7.31833 2.26283 2.97053 3.12706 0.02086 1.46027 20.90548 2.55785 0.07151
2.18437 0.14727 7.31833 2.26283 2.97053 3.12706 0.02086 1.46027 21.90548 2.56460 0.07151
2.18437 0.14727 7.31833 2.26283 2.97053 3.12706 0.02086 1.46027 31.90548 2.56460 0.07151
2.18437 0.14727 7.31833 2.26283 2.97053 3.12706 0.02086 1.46027 28.57940 2.56460 0.07151
2.21801 0.32858 7.34008 2.08813 3.05604 2.98608 0.00809 1.72398 29.57940 2.59273 0.07151
2.20130 0.09224 7.32928 2.17490 3.01357 3.05610 0.00629 1.59300 29.08272 2.57876 0.07151
1.95836 0.09224 7.32928 2.17490 3.01357 3.05610 0.00629 1.59300 29.08272 2.57876 0.07151
1.97873 0.09224 7.32928 2.12827 3.01357 3.05610 0.00629 1.59300 29.08272 2.57876 0.07151
1.97873 0.09224 8.32928 2.12827 3.01357 3.05610 0.00629 1.59300 29.08272 2.57876 0.07151
1.97873 0.09224 10.12272 2.12827 3.01357 3.05610 0.00629 1.59300 29.08272 2.57876 0.07151
1.97873 0.09224 10.00980 2.12827 3.01357 2.84679 0.00629 1.59300 29.08272 2.57876 0.07151
1.97873 0.09224 10.00980 2.12827 4.01357 2.84679 0.00629 1.59300 29.08272 2.57876 0.07151
1.97873 0.09224 10.00980 2.12827 3.63431 2.84679 0.99371 2.40439 29.08272 2.57876 0.07151
1.97873 0.09224 10.00980 2.12827 3.63431 2.84679 1.99371 2.40439 29.08272 2.57876 0.07151
1.97873 0.09224 10.00980 2.12827 3.63431 2.84679 11.99371 2.40439 29.08272 2.57876 0.07151
1.97873 0.09224 10.00980 2.12827 3.63431 2.84679 21.99371 2.40439 29.08272 2.57876 0.07151
1.97873 0.09224 10.00980 2.12827 3.63431 2.84679 31.99371 2.40439 29.08272 2.57876 0.07151
1.97873 0.09224 10.00980 2.12827 3.63431 2.84679 41.99371 2.40439 29.08272 2.57876 0.07151
1.97873 0.09224 10.00980 2.12827 3.63431 2.84679 51.99371 2.40439 29.08272 2.57876 0.07151
1.97873 0.09224 10.00980 2.12827 3.63431 2.84679 61.99372 2.40439 29.08272 2.57876 0.07151
1.97873 0.09224 10.00980 2.12827 3.63431 2.84679 66.99372 2.40439 29.08272 2.57876 0.07151
1.97873 0.09224 10.00980 2.12827 3.63431 2.84679 76.99372 2.40439 29.08272 2.57876 0.07151
1.97873 0.09224 10.00980 2.12827 3.63431 2.84679 76.99372 2.40439 31.08272 2.59611 0.07151
0.26963 0.09224 10.00980 2.12827 3.63431 2.84679 76.99373 2.40439 31.08273 2.59611 0.07151
0.90842 0.09224 10.00980 2.12827 3.63431 2.84679 76.99373 2.40439 31.08273 2.59611 0.07151
0.99756 0.09224 13.82143 2.14891 3.63431 2.63545 76.99373 2.40439 31.08273 2.59611 0.07151
0.99756 0.09224 13.82143 2.14891 7.62181 2.63545 92.99373 2.40439 31.08273 2.59611 0.07151
0.01639 0.09224 17.63306 2.16956 11.60930 2.42410 108.99371 2.40439 31.77512 2.59611 0.07151
0.10838 0.09224 17.27572 2.24590 11.23548 2.44391 107.49371 2.40439 31.74267 2.59611 0.07151

Final values:

Coeff-1 Width-1 Coeff-2 Width-2 Coeff-3 Width-3 Coeff-4 Width-4 Coeff-5 Width-5 NormRMS
0.10838 1.50776 20.14814 2.24171 27.23548 2.44392 107.49371 2.40439 31.74267 2.59611 0.07151

Opening MRC/CCP4 file for WRITE...
File : out4
NX, NY, NZ: 1242 1242 1
MODE : real

RMS of noise adjusted for the MTF = 562.2076

DQE(0) = 1.138072

Frequency MTF NPS NPS-Fit DQE
0.000000 1.000000 2.000000 1.000000 1.138072
0.000488 1.000000 0.417012 0.922861 1.233198
0.000977 0.999998 2.000000 0.861337 1.321281
0.001465 0.999996 0.868825 0.813885 1.398309
0.001953 0.999993 0.931630 0.778964 1.460986
0.002441 0.999989 0.658171 0.755031 1.507284
0.002930 0.999984 1.074720 0.740546 1.536752
0.003418 0.999978 0.570644 0.733965 1.550512
0.003906 0.999971 0.605467 0.733749 1.550949
0.004395 0.999964 0.896250 0.738353 1.541252
0.004883 0.999955 0.775330 0.746238 1.524942
0.005371 0.999946 0.682556 0.755860 1.505501
0.005859 0.999935 0.714238 0.765679 1.486164
0.006348 0.999924 0.916084 0.774152 1.469866
0.006836 0.999912 0.729182 0.779858 1.459075
0.007324 0.999899 0.469100 0.782536 1.454043
0.007813 0.999885 0.916090 0.782566 1.453948
0.008301 0.999870 0.739374 0.780335 1.458061
0.008789 0.999855 0.759422 0.776231 1.465724
0.009277 0.999838 0.928942 0.770641 1.476307
0.009766 0.999820 0.854221 0.763952 1.489181
0.010254 0.999802 0.885564 0.756552 1.503692
0.010742 0.999783 0.721879 0.748828 1.519143
0.011230 0.999763 0.670484 0.741168 1.534783
0.011719 0.999741 0.696758 0.733958 1.549793
0.012207 0.999719 0.862361 0.727587 1.563296
0.012695 0.999696 0.739810 0.722441 1.574359
0.013184 0.999673 0.664263 0.718900 1.582038
0.013672 0.999648 0.679760 0.717092 1.585949
0.014160 0.999622 0.643467 0.716845 1.586413
0.014648 0.999596 0.754168 0.717973 1.583837
0.015137 0.999569 0.642012 0.720288 1.578659
0.015625 0.999540 0.680094 0.723603 1.571339
0.016113 0.999511 0.663494 0.727730 1.562337
0.016602 0.999481 0.834520 0.732481 1.552109
0.017090 0.999450 0.783330 0.737670 1.541096
0.017578 0.999418 0.821208 0.743108 1.529721
0.018066 0.999386 0.791995 0.748609 1.518381
0.018555 0.999352 0.748925 0.753984 1.507455
0.019043 0.999317 0.692310 0.759046 1.497298
0.019531 0.999282 0.762689 0.763609 1.488247
0.020020 0.999246 0.734119 0.767537 1.480522
0.020508 0.999208 0.738588 0.770842 1.474064
0.020996 0.999170 0.700915 0.773560 1.468774
0.021484 0.999131 0.875447 0.775724 1.464560
0.021973 0.999091 0.761770 0.777372 1.461340
0.022461 0.999050 0.831697 0.778536 1.459034
0.022949 0.999009 0.827030 0.779254 1.457569
0.023438 0.998966 0.753556 0.779559 1.456874
0.023926 0.998922 0.816995 0.779488 1.456880
0.024414 0.998878 0.742107 0.779075 1.457523
0.024902 0.998833 0.755823 0.778355 1.458739
0.025391 0.998787 0.718783 0.777363 1.460464
0.025879 0.998739 0.763800 0.776136 1.462636
0.026367 0.998692 0.779106 0.774707 1.465193
0.026855 0.998643 0.826605 0.773119 1.468059
0.027344 0.998593 0.731993 0.771413 1.471159
0.027832 0.998542 0.744287 0.769632 1.474414
0.028320 0.998491 0.743768 0.767818 1.477744
0.028809 0.998438 0.783075 0.766015 1.481068
0.029297 0.998385 0.854616 0.764264 1.484303
0.029785 0.998331 0.655327 0.762608 1.487363
0.030273 0.998276 0.811525 0.761090 1.490165
0.030762 0.998219 0.787057 0.759752 1.492621
0.031250 0.998163 0.823123 0.758638 1.494644
0.031738 0.998105 0.701377 0.757788 1.496146
0.032227 0.998046 0.768941 0.757247 1.497040
0.032715 0.997986 0.766723 0.757054 1.497242
0.033203 0.997926 0.752618 0.757211 1.496751
0.033691 0.997865 0.803139 0.757668 1.495665
0.034180 0.997802 0.794113 0.758373 1.494086
0.034668 0.997739 0.738944 0.759277 1.492119
0.035156 0.997675 0.726150 0.760327 1.489866
0.035645 0.997610 0.736725 0.761472 1.487432
0.036133 0.997544 0.746230 0.762661 1.484917
0.036621 0.997477 0.767122 0.763842 1.482423
0.037109 0.997410 0.683845 0.764964 1.480048
0.037598 0.997341 0.770289 0.765976 1.477889
0.038086 0.997272 0.756285 0.766827 1.476045
0.038574 0.997202 0.722560 0.767464 1.474612
0.039063 0.997130 0.815494 0.767837 1.473686
0.039551 0.997058 0.822579 0.767912 1.473327
0.040039 0.996985 0.792110 0.767725 1.473470
0.040527 0.996911 0.742017 0.767325 1.474020
0.041016 0.996837 0.771005 0.766761 1.474882
0.041504 0.996761 0.739985 0.766084 1.475962
0.041992 0.996685 0.822605 0.765343 1.477166
0.042480 0.996607 0.740360 0.764587 1.478396
0.042969 0.996529 0.808547 0.763866 1.479559
0.043457 0.996449 0.817555 0.763230 1.480556
0.043945 0.996369 0.760534 0.762728 1.481292
0.044434 0.996289 0.749927 0.762411 1.481668
0.044922 0.996207 0.693723 0.762327 1.481587
0.045410 0.996124 0.682611 0.762527 1.480953
0.045898 0.996040 0.815634 0.763057 1.479676
0.046387 0.995956 0.753014 0.763915 1.477762
0.046875 0.995870 0.781916 0.765061 1.475297
0.047363 0.995784 0.788903 0.766450 1.472367
0.047852 0.995697 0.730203 0.768041 1.469059
0.048340 0.995609 0.771277 0.769791 1.465460
0.048828 0.995520 0.780904 0.771658 1.461655
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0.996094 0.149332 0.056115 0.053794 0.471784
0.996582 0.149048 0.055816 0.053649 0.471261
0.997070 0.148764 0.055978 0.053504 0.470743
0.997559 0.148481 0.056518 0.053358 0.470231
0.998047 0.148198 0.054593 0.053212 0.469723
0.998535 0.147915 0.056918 0.053066 0.469220
0.999023 0.147633 0.054696 0.052920 0.468721
0.999512 0.147351 0.054375 0.052774 0.468226
1.000000 0.147070 0.054503 0.052628 0.467735

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niko
Offline
Joined: 5 May 2009
For a counting detector, you

For a counting detector, you could determine the pixel variance and compare it with the exposure per pixel that you think you have. The average variance should be close to the average pixel value (Poisson distribution). If this is not true, it would point to some kind of multiplier.