PYME.localization.FitFactories.BeadConvolvedAstigGaussFit module

PYME.localization.FitFactories.BeadConvolvedAstigGaussFit.FitFactory

alias of GaussianFitFactory

class PYME.localization.FitFactories.BeadConvolvedAstigGaussFit.GaussianFitFactory(data, metadata, fitfcn=<function f_gaussAstigBead>, background=None, noiseSigma=None, **kwargs)

Bases: FFBase

Create a fit factory which will operate on image data (data), potentially using voxel sizes etc contained in metadata.

FromPoint(x, y, z=None, roiHalfSize=5, axialHalfSize=15)

This should be overridden in derived classes to actually do the fitting. The function which gets implemented should return a numpy record array, of the dtype defined in the module level FitResultsDType variable (the calling function uses FitResultsDType to pre-allocate an array for the results)

classmethod evalModel(params, md, x=0, y=0, roiHalfSize=5)

Evaluate the model that this factory fits - given metadata and fitted parameters.

Used for fit visualisation

PYME.localization.FitFactories.BeadConvolvedAstigGaussFit.bead(X, Y, beadDiam)

returns a sum-normalized bead projection

PYME.localization.FitFactories.BeadConvolvedAstigGaussFit.f_gaussAstigBead(p, X, Y, beadDiam)

astigmatic Gaussian model function with linear background (parameter vector [A, x0, y0, sx, sy, b, b_x, b_y]) convolved with a bead shape

PYME.localization.FitFactories.BeadConvolvedAstigGaussFit.f_rotGaussAstigBead(p, X, Y, beadDiam, theta=0)

astigmatic Gaussian model function with linear background (parameter vector [A, x0, y0, sx, sy, b, b_x, b_y]) rotated by theta radians and convolved with a bead shape.