PeakCallerMaximumFilter

class PeakCallerMaximumFilter(shape, num_peaks=1000, min_distance=1, min_boundary_distance=0, min_score=None, max_score=None, batch_dims=None, projection_dims=None, shm_handler=None, **kwargs)

Bases: PeakCaller

Find local maxima by applying a maximum filter and enforcing a distance constraint subsequently. This is similar to the strategy implemented in skimage.feature.peak_local_max.

Attributes

PeakCallerMaximumFilter.shareable

Indicate whether the analyzer can be shared across processes.

Methods

PeakCallerMaximumFilter.__call__(state, ...)	Update the internal parameter store based on input array.
PeakCallerMaximumFilter.call_peaks(scores, ...)	Call peaks in the score space.
PeakCallerMaximumFilter.correct_background(...)	Applies flat-fielding correction to scores f as
PeakCallerMaximumFilter.init_state()	Initialize the analyzer state.
PeakCallerMaximumFilter.merge([results])	Merge multiple instances of PeakCaller.
PeakCallerMaximumFilter.oversample_peaks(...)	Refines peaks positions in the corresponding score space.
PeakCallerMaximumFilter.result(state[, ...])	Finalize the analysis result with optional postprocessing.