ImageProcessing.locate_subpixel_poi_in_roi

giant.image_processing:

ImageProcessing.locate_subpixel_poi_in_roi(image, region=None)[source]

This method identifies the subpixel locations of points of interest in an image.

This method is simply a convenient way of combining find_poi_in_roi() and refine_locations() and calls these two methods directly, feeding the results of the first into the second.

Note that if the denoise_flag is set to true then this method will first pass the image through the denoise_image() method.

Parameters:

  • image (ndarray) – The image to be processed

  • region (Tuple[ndarray, ndarray] | None) – The region of interest to consider as 2 numpy arrays of indices into the images or None

Returns:

The subpixel centers of the points of interest as well as the illumination values, plus optionally details about the point spread function fit if save_psf is set to True and the blob statistics and SNR values for each blob if return_stats is set to true

Return type:

Tuple[ndarray, ndarray] | Tuple[ndarray, ndarray, ndarray] | Tuple[ndarray, ndarray, List[ndarray], List[ndarray]] | Tuple[ndarray, ndarray, ndarray, List[ndarray], List[ndarray]]