``` pythonimportnumpyasnpimportmatplotlib.pyplotaspltfromskimageimportio# load the image from fileimage_file="/image-analysis-training-resources/image_data/xy_8bit__two_cells.tif"image=io.imread(image_file)# binarize the image, so that all values larger than the threshold are foregroundthreshold_value=60binarized=image>threshold_value# display the original and the binarized imagefig,ax=plt.subplots(2)ax[0].imshow(image)ax[0].set_title("Image")ax[1].imshow(binarized)ax[1].set_title("Binarized")```For associated course material in jupyter, [click here](https://nbviewer.jupyter.org/github/embl-bio-it/image-analysis-with-python/blob/carpentry/image-analysis-session/image-binarization.ipynb#Image-Binarization).You can also spin up an interactive [binder session](https://gke.mybinder.org/v2/gh/embl-bio-it/image-analysis-with-python/carpentry?filepath=image-analysis-session/image-binarization.ipynb).