Adaptive bandpass filtering
The "golden standard" methodology is a widespread method to drive the alignment process avoiding overfitting and providing an accepted estimation of the attained resolution.
It bases on splitting the original data set into two equally sized halves (called even/odd), and aligning them separately. After each iteration, the attained resolution is estimated by comparing the two separately computed averages through FSC. The bandpass filter used in the next iteration will be defined based on this estimation.
Operationally, an ABF project is just a multireference project that:
- doesn't swap particles between references, and
- and that adjust the lowpass filter parameters at each iteration.
The most comfortable way to create an ABF project is by first designing a single reference project (i.e myProject), and then letting Dynamo derive an ABF project, which generally called myProject_eo.
The ABF procedure workflow
Parameters in an ABF project
Several parameters can be chosen by the user.
= Initial frequency
Alignment of half averages
You can choose: 1) the FSC value that defines the resolution estimation 2) 3)
Creating an ABF project in dcp
In general, you would design a single reference project. Then you would derive the