PYME.localization.FitFactories.GaussMultifitLinesR module

PYME.localization.FitFactories.GaussMultifitLinesR.FitFactory

alias of GaussianFitFactory

PYME.localization.FitFactories.GaussMultifitLinesR.FitResult(fitResults, metadata, resultCode=-1, fitErr=None, nChi2=0, nEvents=1)
class PYME.localization.FitFactories.GaussMultifitLinesR.GaussianFitFactory(data, metadata, fitfcn=<function f_multiGauss>, background=None, noiseSigma=None)

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

Attributes

X  
Y  

Methods

FindAndFit([threshold, gui])
evalModel(params, md[, x, y, roiHalfSize])
FindAndFit(threshold=2, gui=False)
X = None
Y = None
classmethod evalModel(params, md, x=0, y=0, roiHalfSize=5)
PYME.localization.FitFactories.GaussMultifitLinesR.GaussianFitResultR(fitResults, metadata, resultCode=-1, fitErr=None, nChi2=0, nEvents=1)
PYME.localization.FitFactories.GaussMultifitLinesR.f_multiGauss(p, X, Y, s)
PYME.localization.FitFactories.GaussMultifitLinesR.f_multiGaussJ(p, X, Y, s)
PYME.localization.FitFactories.GaussMultifitLinesR.f_multiGaussS(p, X, Y, s)