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Subject:

Re: mask and loss of resolution

From:

Sjors Scheres <[log in to unmask]>

Reply-To:

Sjors Scheres <[log in to unmask]>

Date:

Mon, 11 Jan 2016 12:56:44 +0000

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (248 lines)

Hi Laura,
The last column (FSC between phase-randomized maps) has way too high 
values, indicating that your mask is too tight. The options mentioned by 
Celia in the previous message can be used to make it wider and/or 
softer, such that you'll decrease the convolution artefacts of the mask. 
That way, your resolution estimates would be back up again. I recommend 
reading the Chen et al paper in Ultramicroscopy on the 
phase-randomization approach.
HTH,
Sjors


On 01/11/2016 10:57 AM, Laura van Bezouwen wrote:
> Hi Sjors,
>
> Here the data from the star file
>
> Best,
> Laura
>
> data_fsc
>
> loop_
> _rlnSpectralIndex #1
> _rlnResolution #2
> _rlnAngstromResolution #3
> _rlnFourierShellCorrelationCorrected #4
> _rlnFourierShellCorrelationUnmaskedMaps #5
> _rlnFourierShellCorrelationMaskedMaps #6
> _rlnCorrectedFourierShellCorrelationPhaseRandomizedMaskedMaps #7
>             0     0.001001   999.000000     1.000000     1.000000
> 1.000000     1.000000
>             1     0.001842   542.880003     1.000000     0.999738
> 1.000000     1.000000
>             2     0.003684   271.440001     0.999994     0.999719
> 0.999994     0.999994
>             3     0.005526   180.960001     0.999967     0.998216
> 0.999967     0.999969
>             4     0.007368   135.720001     0.999885     0.997291
> 0.999885     0.999884
>             5     0.009210   108.576001     0.999671     0.994004
> 0.999671     0.999661
>             6     0.011052    90.480000     0.999273     0.993902
> 0.999273     0.999265
>             7     0.012894    77.554286     0.999054     0.992794
> 0.999054     0.999062
>             8     0.014736    67.860000     0.999113     0.990347
> 0.999113     0.999136
>             9     0.016578    60.320000     0.999216     0.989517
> 0.999216     0.999248
>            10     0.018420    54.288000     0.999231     0.989563
> 0.999231     0.999244
>            11     0.020262    49.352728     0.999039     0.988129
> 0.999039     0.999030
>            12     0.022104    45.240000     0.998628     0.984196
> 0.998628     0.998612
>            13     0.023946    41.760000     0.998092     0.982134
> 0.998092     0.998144
>            14     0.025788    38.777143     0.997232     0.982614
> 0.997232     0.997216
>            15     0.027630    36.192000     0.995824     0.980549
> 0.995824     0.995725
>            16     0.029472    33.930000     0.991772     0.966970
> 0.991772     0.991592
>            17     0.031314    31.934118     0.986715     0.952258
> 0.986715     0.986613
>            18     0.033156    30.160000     0.984583     0.948087
> 0.984583     0.984855
>            19     0.034999    28.572632     0.981506     0.936454
> 0.981506     0.982097
>            20     0.036841    27.144000     0.971712     0.905649
> 0.971712     0.972574
>            21     0.038683    25.851429     0.958617     0.871192
> 0.958617     0.960381
>            22     0.040525    24.676364     0.949232     0.859541
> 0.949232     0.952200
>            23     0.042367    23.603478     0.937576     0.810476
> 0.937576     0.940890
>            24     0.044209    22.620000     0.077404     0.747890
> 0.925552     0.919305
>            25     0.046051    21.715200     0.271748     0.681754
> 0.912621     0.880016
>            26     0.047893    20.880000     0.414872     0.663891
> 0.903159     0.834496
>            27     0.049735    20.106667     0.353391     0.572984
> 0.884437     0.821279
>            28     0.051577    19.388572     0.151467     0.464235
> 0.855019     0.829140
>            29     0.053419    18.720000     0.000000     0.350038
> 0.808089     0.811492
>            30     0.055261    18.096000     0.032382     0.285495
> 0.789182     0.782127
>            31     0.057103    17.512258     0.131669     0.335029
> 0.788716     0.756678
>            32     0.058945    16.965000     0.128011     0.369962
> 0.768948     0.735029
>            33     0.060787    16.450909     0.052803     0.388005
> 0.753959     0.740243
>            34     0.062629    15.967059     0.139929     0.386406
> 0.749383     0.708609
>            35     0.064471    15.510857     0.202783     0.371727
> 0.743122     0.677781
>            36     0.066313    15.080000     0.208281     0.325347
> 0.726189     0.654156
>            37     0.068155    14.672433     0.212430     0.274756
> 0.708241     0.629545
>            38     0.069997    14.286316     0.198512     0.275890
> 0.705103     0.632063
>            39     0.071839    13.920000     0.216018     0.320212
> 0.700515     0.617995
>            40     0.073681    13.572000     0.214331     0.297769
> 0.690331     0.605854
>            41     0.075523    13.240976     0.138881     0.237556
> 0.659936     0.605090
>            42     0.077365    12.925714     0.000000     0.160701
> 0.569820     0.579063
>            43     0.079207    12.625116     0.000000     0.145217
> 0.487059     0.546045
>            44     0.081049    12.338182     0.000000     0.110821
> 0.482422     0.520803
>            45     0.082891    12.064000     0.068225     0.170635
> 0.543809     0.510407
>            46     0.084733    11.801739     0.140923     0.210082
> 0.572328     0.502172
>            47     0.086575    11.550638     0.184768     0.197557
> 0.561240     0.461797
>            48     0.088417    11.310000     0.090499     0.090526
> 0.485879     0.434722
>            49     0.090259    11.079184     0.009623     0.099761
> 0.418816     0.413169
>            50     0.092101    10.857600     0.058183     0.115648
> 0.417853     0.381890
>            51     0.093943    10.644706     0.069282     0.095211
> 0.404335     0.359994
>            52     0.095785    10.440000     0.035125     0.025660
> 0.368706     0.345725
>            53     0.097627    10.243019     0.013108     0.048567
> 0.352646     0.344048
>            54     0.099469    10.053333     0.000000     0.086889
> 0.341105     0.343989
>            55     0.101312     9.870546     0.000000     0.060966
> 0.336228     0.342042
>            56     0.103154     9.694286     0.012317     0.050740
> 0.319587     0.311102
>            57     0.104996     9.524211     0.035141     0.048257
> 0.310946     0.285850
>            58     0.106838     9.360000     0.083133     0.053748
> 0.319367     0.257653
>            59     0.108680     9.201356     0.069603     0.060859
> 0.289653     0.236512
>            60     0.110522     9.048000     0.039160     0.012992
> 0.243690     0.212866
>            61     0.112364     8.899672     0.028978     0.042030
> 0.215449     0.192036
>            62     0.114206     8.756129     0.000000     0.029583
> 0.174534     0.194375
>            63     0.116048     8.617143     0.000000     0.056930
> 0.175615     0.204439
>            64     0.117890     8.482500     0.000000     0.023297
> 0.208175     0.215546
>            65     0.119732     8.352000     0.000000     0.027420
> 0.197074     0.215896
>            66     0.121574     8.225455     0.005812     0.032989
> 0.205541     0.200897
>            67     0.123416     8.102687     0.017306     0.065378
> 0.202685     0.188644
>            68     0.125258     7.983529     0.005446     0.031938
> 0.192049     0.187624
>            69     0.127100     7.867826     0.000000     0.012513
> 0.171204     0.171413
>            70     0.128942     7.755429     0.009350     0.026444
> 0.167451     0.159593
>            71     0.130784     7.646197     0.002465     0.019367
> 0.159180     0.157102
>            72     0.132626     7.540000     0.000000     0.023295
> 0.120196     0.155948
>            73     0.134468     7.436712     0.000000     0.024605
> 0.104188     0.140570
>            74     0.136310     7.336216     0.000000     0.007806
> 0.131533     0.134491
>            75     0.138152     7.238400     0.037193     0.006969
> 0.158783     0.126286
>            76     0.139994     7.143158     0.050622     0.026536
> 0.167537     0.123150
>            77     0.141836     7.050390     0.004045     0.034147
> 0.135955     0.132446
>            78     0.143678     6.960000     0.000000    -0.002035
> 0.093391     0.161158
>
> 2016-01-11 11:30 GMT+01:00 Celia Plisson-Chastang <
> [log in to unmask]>:
>
>> Hi Laura,
>>
>> If you use the automask option of postprocess, you might have to "loosen"
>> the mask by playing around with the --inimask_threshold,  --extend_inimask
>> and --width_mask_edge values you use.
>> Also, if your raw fsc curve is not weird looking, you can try to randomize
>> the phases at a lower resolution, ie lower fsc value (the default value of
>> phase randomizing correspond to the resolution where FSC=0.8), with  the
>> option --randomize_at_fsc.
>> hope it helps!
>> all the best
>> celia
>>
>>
>>
>> Le Lundi 11 Janvier 2016 10:18 CET, Laura van Bezouwen <
>> [log in to unmask]> a écrit:
>>
>>> Hi,
>>>
>>> I was wondering if somebody could help with my mask. I made several masks
>>> to run on my particle. One mask really helped but another mask not. The
>>> results were very surprising. I did a 3D classification with the mask and
>>> took the best class for my 3D refinement. After my 3D refinement I had a
>>> resolution of 12.6 Å but after postprocessing I ended up with a
>> resolution
>>> of 23.6 Å. Making a difference mask in Chimera didn't help. Does anybody
>>> knows what is going on? And how I can improve my results
>>>
>>> Thanks for the help,
>>>
>>> Best,
>>>
>>> Laura
>> --
>> --
>> Dr Célia Plisson-Chastang
>> Laboratoire de Biologie Moléculaire Eucaryote
>> UMR CNRS 5099-Université Paul Sabatier Toulouse III
>> Bâtiment IBCG, 118 Route de Narbonne
>> 31062 Toulouse Cedex, France
>>
>> Telephone : +33(0)5 61 33 59 50
>> Fax : +33(0)5 61 33 58 86
>>
>>
>>

-- 
Sjors Scheres
MRC Laboratory of Molecular Biology
Francis Crick Avenue, Cambridge Biomedical Campus
Cambridge CB2 0QH, U.K.
tel: +44 (0)1223 267061
http://www2.mrc-lmb.cam.ac.uk/groups/scheres

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