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To detect the expression of NKG2D ligand (NKG2DL) on human lung cancer cells and its influence on the NKG2D expression. The expression of NKG2DL was detected on 16 lines of lung cancer cell lines by FACS, and the expression of NKG2D on the cancer cells was analyzed by immunocytochemistry. IFN-gamma was used to stimulate the NKG2DL expression on BEAS-2B and H358 cells. The expression of NKG2D on human NK cells was analyzed by FCM. NKG2D ligand was expressed in all the cell lines tested. IFN-gamma can increase the expression of NKG2DL on human lung cancer cells, the expression of NKG2D on NK cells also increased significantly. NKG2DL on human lung cancer cells can down-regulate the NKG2D expression on NK cells, which may play a role in tumor immune escape.Q:

How to calculate distance between centroids using an image in Python

I would like to calculate the distance between the centroids of two objects in images.
My input image has the same size as the input images I want to compare.
I’ve looked at some of the available implementations of this topic here but I’m a total amateur and have had some trouble translating it into Python.
I want to calculate the distance between the centroids of some objects in images.
I have the bounding boxes of the objects I want to compare (from the OpenCV tutorial). How would I calculate the centroids of them?
example of bounding box #1:
(1,100,100)
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