Job: 3D Variability

3DVA

Description

• Compute the principle modes of variability with a dataset of aligned particles. Read a tutorial here.

Input

• Particles

• Mask

Common Parameters

• Number of modes to solve: The number of orthogonal principle modes (i.e. eigenvectors of the 3D covariance) to solve.

• Filter Resolution (A): Resolution at which results are filtered. Typically set between 5 and 10.

Output

• Particles

• Volume

Common Next Steps

• Running a 3D Variability Display job to generate a series of volumes representing frames of motion.