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Ctf Correction

This logic can estimate ctf parameters for class sums, apply previously calculated ones to images and also lets the user choose the parameters manually. This correction for the phase information modulation during the imaging process is an essential part of getting high resolution structures out of input data.

If Ctf parameters are to be estimated, the user needs to provide class sums due to the higher signal-to-noise ratio as compared to images. Afterwards, the images that make up the class sums can be corrected through the determined parameters, as well as images that contain the ctf information in their header.

Here, a very specific example should be given/described. In the future, this can be supported by screenshots etc.. For the moment, give an example easy enough for the user to understand, but specific enough to elaborate why a given parameter is a good set for this very situation.

Here, a short introduction for the given mode should be placed. Again, state WHAT and WHY this mode us useful in not more than 2 sentences.

Parameters Description
Some changeable parameter Description of this parameter
→ and its sub-parameter more description
Next main parameter and more more more
→ and its sub-parameter … descriptions
Input Description
FirstInput Input Description 1
SecondInput Input Description 2
ThirdInput Input Description 3: Optional Input in Italic
Output Description
FirstOutput Output Description
New/Changed Header Values Description
headerValue1 what does it say? how is it changed?
headerValue2 what does it say? how is it changed?
headerValue3 what does it say? how is it changed?
headerValue4 what does it say? how is it changed?

Here, a short introduction for the given mode should be placed. Again, state WHAT and WHY this mode us useful in not more than 2 sentences.

Parameters Description
Some changeable parameter Description of this parameter
→ and its sub-parameter more description
Next main parameter and more more more
→ and its sub-parameter … descriptions
Input Description
FirstInput Input Description 1
SecondImput Input Description 2
ThridImput Input Description 1
Output Description
FirstOutput Output Description
New/Changed Header Values Description
headerValue1 what does it say? how is it changed?
headerValue2 what does it say? how is it changed?
headerValue3 what does it say? how is it changed?
headerValue4 what does it say? how is it changed?

In this paragraph, the “HOW a logic works under the hood” and WHY someone should use it can be elaborated with higher detail. Describes a scenario in an image processing workflow where this logic can be used to solve the resulting problem. Also, wikipages, publications or anything else describing the theory behind an algorithm should be linked here, if applicable.