fixed dtype of "roi_intensities_normalised" if threshold_value != "NaN"
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@ -37,7 +37,7 @@ def calc_roi(results, data, pixel_mask_pf):
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roi_area = (ix2 - ix1) * (iy2 - iy1)
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roi_sum_norm = roi_sum / roi_area
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else:
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roi_sum_norm = np.nanmean(data_roi)
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roi_sum_norm = np.nanmean(data_roi, dtype=float) # data_roi is np.float32, which cannot be json serialized
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roi_indices_x = [ix1, ix2]
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roi_proj_x = np.nansum(data_roi, axis=0).tolist()
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