Hi,
Don't worry, thank you for this question and participating in Fuse My Cells!
As the images are 3D lightsheet microscopy images (i.e. fluorescence images), the background of the image is black ; despite our cuts, the first and last planes of the images often contain less information, hence the possible sensation of a black image.
You can use the (free) image processing software Fiji
https://imagej.net/software/fiji/downloads (available on Mac, Linux and Windows).
Once installed, you can click and drop an image, then, moving around in the Z stack if you still don't see anything, go to Images, Adjust, Brightness/Contrast and click “Auto”.
You can see them with matplotlib as well (but only a single 2D plane). I used the skimage imread and for example the 150th plane shows some nucleus.
For example you can test this (python) code:
from pathlib import Path
import matplotlib.pyplot as plt
from skimage.io import imread
fusemycells_db_path = Path("your_path")
img_0 = imread(fusemycells_db_path / "image_0_nucleus_fused.tif")
wanted_plane = int(img_0.shape[0]/2)
plt.imshow(img_0[wanted_plane, ...], cmap='gray')
plt.axis('off')
plt.show()
Let me know if you still have problems viewing the images.