PYME.localization.FitFactories.DumbellFitR module

class PYME.localization.FitFactories.DumbellFitR.DumbellFitFactory(data, metadata, fitfcn=<function f_dumbell>, background=None, noiseSigma=None)

Bases: PYME.localization.FitFactories.FFBase.FFBase

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

Methods

FromPoint(x, y[, z, roiHalfSize, axialHalfSize])
evalModel(params, md[, x, y, roiHalfSize]) Evaluate the model that this factory fits - given metadata and fitted parameters.
FromPoint(x, y, z=None, roiHalfSize=7, axialHalfSize=15)
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.DumbellFitR.FitFactory

alias of DumbellFitFactory

PYME.localization.FitFactories.DumbellFitR.FitResult(fitResults, metadata, slicesUsed=None, resultCode=-1, fitErr=None, background=0, length=0)
PYME.localization.FitFactories.DumbellFitR.FitResultR(fitResults, metadata, slicesUsed=None, resultCode=-1, fitErr=None, background=0, length=0)
PYME.localization.FitFactories.DumbellFitR.f_dumbell(p, X, Y)

2D Gaussian model function with linear background - parameter vector [A, x0, y0, sigma, background, lin_x, lin_y]