Hi Arko:
The two data sets can be merged during the 2D classification step. Hopefully the particles from different data sets can merge well at this step. And then save the particles from the best classes in one star file. This star file can be used for the 3D classification and the following Refinement. If the two data sets were collected with different Pix size, you have to re-scale the images to a similar pix value.
Xiaodi Yu
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From: Collaborative Computational Project in Electron cryo-Microscopy [[log in to unmask]] On Behalf Of Arka Chakraborty [[log in to unmask]]
Sent: Monday, February 15, 2016 12:34 PM
To: [log in to unmask]
Subject: [ccpem] Strategy on combining datasets
Dear CCPEM-ers,
I would like to have some advice on the optimal way to combine two data sets for single particle reconstruction in relion-should that be performed at the stage of 3D classification (averaging 3D classes?) or after 3D refinement (averaging the 3D volumes obtained in each case)? (in the later case how would one go about calculating 'gold standard' FSC?..Would it be advisable to average the final volumes obtained by separate processing of the two datasets?..Is there a possibility of combining the data sets from scratch? (how to bring the images onto a common scale in that case)?. Any inputs and/or practical advices will be greatly appreciated.
Best regards,
Arko
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Arka Chakraborty
ibmb (Institut de Biologia Molecular de Barcelona)
BARCELONA, SPAIN
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