navigate.model.analysis.camera.compute_scmos_offset_and_variance_map

navigate.model.analysis.camera.compute_scmos_offset_and_variance_map(image: Union[_SupportsArray[dtype[Any]], _NestedSequence[_SupportsArray[dtype[Any]]], bool, int, float, complex, str, bytes, _NestedSequence[Union[bool, int, float, complex, str, bytes]]]) → tuple[Union[numpy._typing._array_like._SupportsArray[numpy.dtype[Any]], numpy._typing._nested_sequence._NestedSequence[numpy._typing._array_like._SupportsArray[numpy.dtype[Any]]], bool, int, float, complex, str, bytes, numpy._typing._nested_sequence._NestedSequence[Union[bool, int, float, complex, str, bytes]]], Union[numpy._typing._array_like._SupportsArray[numpy.dtype[Any]], numpy._typing._nested_sequence._NestedSequence[numpy._typing._array_like._SupportsArray[numpy.dtype[Any]]], bool, int, float, complex, str, bytes, numpy._typing._nested_sequence._NestedSequence[Union[bool, int, float, complex, str, bytes]]]]

Compute the offset and variance map of an sCMOS camera.

Parameters:

image (npt.ArrayLike) – ZYX image of multiple dark camera frames, taken sequentially.

Returns:

offset_map – XY image of camera offset in the absence of signal.

Return type:

npt.ArrayLike