Visit the wiki pages to find some additional documentation and instructions on how view an interactive verson of these notebooks using binder.

In [1]:
%matplotlib inline
In [2]:
import math
import numpy as np
import matplotlib.pyplot as plt


from skimage import io

Read an image

In [3]:
image = io.imread("../images/nuclei-dapi.tif")
In [4]:
plt.imshow(image, cmap='gray')
plt.show()

Some basic image information

In [6]:
type(image)
Out[6]:
numpy.ndarray
In [7]:
image.shape
Out[7]:
(362, 457)
In [ ]: