Difference between revisions of "Integration with Warp and M"

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Tilt series can either be aligned in IMOD or using dynamo's new [[Walkthrough on command line based tilt series alignment | tilt series alignment tools]]
 
Tilt series can either be aligned in IMOD or using dynamo's new [[Walkthrough on command line based tilt series alignment | tilt series alignment tools]]
  
A function to automate the alignment of datasets and convert all necessary metadata for import into warp is provided as [[https://github.com/alisterburt/autoalign_dynamo | autoalign_dynamo]].
+
A function to automate the alignment of datasets with fiducials and convert all necessary metadata for import into warp is provided as [[https://github.com/alisterburt/autoalign_dynamo | autoalign_dynamo]].
  
 
Once you've followed the setup from that page, simply navigate to the imod directory generated by warp and run  
 
Once you've followed the setup from that page, simply navigate to the imod directory generated by warp and run  
  
<nowiki>dautoalign4warp(<pixel_size_angstrom>, <fiducial_diameter_nm>, <nominal_rotation_angle>, <output_folder>)</nowiki>
+
<nowiki>dautoalign4warp(<pixel_size_angstrom>, <fiducial_diameter_nm>, <nominal_rotation_angle>, <output_folder>)</nowiki>
 +
 
 +
Briefly, tilt-series are aligned in Dynamo with the automated procedure. The fiducial positions are then converted into an IMOD model file and tiltalign is run on this to calculate the necessary transforms to apply to the tilt series in the format Warp wants.
  
 
= generate downscaled tomograms =  
 
= generate downscaled tomograms =  

Revision as of 11:12, 13 August 2020

This page describes a method for integration of Dynamo, Warp and M to be able to take advantage of...

Warp's

  • streamlined preprocessing
  • robust CTF estimation procedures for tilt-series data

Dynamo's

  • automated tilt-series alignment
  • geometric picking tools
  • flexible subtomogram averaging procedures

M's

  • multi-particle refinement
  • half-map regularisation by denoising


Overview

  • Preprocess from multi-frame micrographs to tilt-series using Warp
  • Align tilt-series using [Dynamo]
  • Generate downscaled tomograms in warp
  • Pick particles in Dynamo and run first alignments
  • Reextract unbinned particles in warp using [dynamo2m]
  • Run alignments/classifications in dynamo or relion
  • Run multi-particle refinements in M

The last steps can be repeated to further improve final reconstruction quality

preprocess

Preprocess your multi-frame micrographs in warp following the guide [here]

Bad images should be deselected in Warp at this stage.

This stage is finished once you have your tilt-series in the imod folder

If you collected your data in Tomo rather than SerialEM and don't have mdoc files, you can try [mdocspoofer]

align tilt-series

Tilt series can either be aligned in IMOD or using dynamo's new tilt series alignment tools

A function to automate the alignment of datasets with fiducials and convert all necessary metadata for import into warp is provided as [| autoalign_dynamo].

Once you've followed the setup from that page, simply navigate to the imod directory generated by warp and run

dautoalign4warp(<pixel_size_angstrom>, <fiducial_diameter_nm>, <nominal_rotation_angle>, <output_folder>)

Briefly, tilt-series are aligned in Dynamo with the automated procedure. The fiducial positions are then converted into an IMOD model file and tiltalign is run on this to calculate the necessary transforms to apply to the tilt series in the format Warp wants.

generate downscaled tomograms

pick particles in dynamo

reextract unbinned particles in warp

run alignments/classifications in dynamo or relion

run multi-particle refinements in M