PYME.localization.FitFactories.SplitterFitFusionR module

PYME.localization.FitFactories.SplitterFitFusionR.BlankResult(metadata)
PYME.localization.FitFactories.SplitterFitFusionR.FitFactory

alias of GaussianFitFactory

PYME.localization.FitFactories.SplitterFitFusionR.FitResult(fitResults, metadata, startParams, slicesUsed=None, resultCode=-1, fitErr=-5000.0, nchi2=-1, background=0)
class PYME.localization.FitFactories.SplitterFitFusionR.GaussianFitFactory(data, metadata, fitfcn=<function f_gauss2d>, background=None, noiseSigma=None)

Bases: PYME.localization.FitFactories.FFBase.FFBase

Methods

FromPoint(x, y[, z, roiHalfSize, axialHalfSize])
evalModel(params, md[, x, y, roiHalfSize])
FromPoint(x, y, z=None, roiHalfSize=10, axialHalfSize=15)
classmethod evalModel(params, md, x=0, y=0, roiHalfSize=5)
PYME.localization.FitFactories.SplitterFitFusionR.GaussianFitResultR(fitResults, metadata, startParams, slicesUsed=None, resultCode=-1, fitErr=-5000.0, nchi2=-1, background=0)
PYME.localization.FitFactories.SplitterFitFusionR.f_gauss2d(p, X, Y)

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

PYME.localization.FitFactories.SplitterFitFusionR.f_gauss2d2c(p, Xg, Yg, Xr, Yr)

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

PYME.localization.FitFactories.SplitterFitFusionR.f_gauss2d2cA(p, Xg, Yg, Xr, Yr, Arr)

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

PYME.localization.FitFactories.SplitterFitFusionR.f_gauss2d2ccb(p, Xg, Yg, Xr, Yr)

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

PYME.localization.FitFactories.SplitterFitFusionR.genFitImage(fitResults, metadata)
PYME.localization.FitFactories.SplitterFitFusionR.splWrap(*args)