Difference between revisions of "Particle picking"

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== Preparing your volumes==
 
== Preparing your volumes==
 
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  You would start putting  all your tomograms in one single catalogue, maybe asking ''Dynamo'' to [[Viewing tomograms#Prebinned tomograms prepare binned]] copies of them. More tomograms can be incorporated later.
  You would start putting  all your tomograms in one single catalogue, maybe asking ''Dynamo'' to prepare binned copies of them. More tomograms can be incorporated later.
 
  
 
== Picking particles==
 
== Picking particles==
 
Then you would visit each tomogram in the catalogue, and would define in them one or models that capture the geometry of the particle distribution. The models will be also kept in the catalogue.
 
Then you would visit each tomogram in the catalogue, and would define in them one or models that capture the geometry of the particle distribution. The models will be also kept in the catalogue.
  
Sometimes, models need to be designe
+
Sometimes, models carry parameters that need to be tuned for your case (for instance, the radius of filament models, or the particle density in surface models). When you have many models defined on the same data set, which will have the same parameter values, it is a good idea to define each individual model with the minimal amount of user input, save it and proceed to the next one. Then, when all the models in the catalogue have been defined, one can define XXXX
  
 
== Extracting particles==
 
== Extracting particles==
 
After the stage of particle picking, we normally need to [[Particle extraction|extract particles]], an operation that crops the particles from inside the annotated tomograms and puts all the subtomogram files inside a single [[data folder]] that can be used to design an [[alignment project|alignment project]]
 
After the stage of particle picking, we normally need to [[Particle extraction|extract particles]], an operation that crops the particles from inside the annotated tomograms and puts all the subtomogram files inside a single [[data folder]] that can be used to design an [[alignment project|alignment project]]

Revision as of 16:06, 21 March 2016

Particle picking consists in all the interactive operations on the tomograms towards the definition of 3d positions (and possibly) euler angles that roughly correspond to the presence of a particle.

In some cases, the on-screen interaction simply consists in the user directly clicking the centers of the individual particles. But in many other geometries, the user will rather design supporting objects, like filaments, vesicles, pseudo-crystals or freely-shaped membranes. For each different geometry type, Dynamo provides a different modelclass.

Whichever the model type is that capture the distribution in your particles, the workflow would be the same:

  • Preparing your volumes
  • Picking particles
  • Extracting particles

Preparing your volumes

You would start putting  all your tomograms in one single catalogue, maybe asking Dynamo to Viewing tomograms#Prebinned tomograms prepare binned copies of them. More tomograms can be incorporated later.

Picking particles

Then you would visit each tomogram in the catalogue, and would define in them one or models that capture the geometry of the particle distribution. The models will be also kept in the catalogue.

Sometimes, models carry parameters that need to be tuned for your case (for instance, the radius of filament models, or the particle density in surface models). When you have many models defined on the same data set, which will have the same parameter values, it is a good idea to define each individual model with the minimal amount of user input, save it and proceed to the next one. Then, when all the models in the catalogue have been defined, one can define XXXX

Extracting particles

After the stage of particle picking, we normally need to extract particles, an operation that crops the particles from inside the annotated tomograms and puts all the subtomogram files inside a single data folder that can be used to design an alignment project