ovrlpy.detect_doublets
======================

.. py:function:: ovrlpy.detect_doublets(integrity_map, signal_map, min_distance=10, integrity_threshold=0.7, minimum_signal_strength=3, integrity_sigma=None)

   This function is used to find individual low peaks of signal integrity in the tissue
   map as an indicator of single occurrences overlapping cells.

   :param integrity_map: Pixel map of signal integrity obtained from ovrlpy analysis
   :type integrity_map: numpy.ndarray
   :param signal_map: Signal strength map from ovrlpy analysis
   :type signal_map: numpy.ndarray
   :param min_distance: Minimum distance between reported peaks
   :type min_distance: int, optional
   :param integrity_threshold: Threhold of signal integrity value. A peak with an signal integrity > integrity_threshold is not considered.
   :type integrity_threshold: float, optional
   :param minimum_signal_strength: Minimum signal value for a peak to be considered
   :type minimum_signal_strength: float, optional
   :param integrity_sigma: Optional sigma value for gaussian filtering of the integrity map,
                           which leads to the detection of overlap regions with larger spatial extent.
   :type integrity_sigma: float, optional