go.Image to visualize multichannel flourescent image with subplots

Hi, I’m new to plotly.

I’m trying to visualize a few single channels from my multichannel image.

Image can be downloaded here.

Read me for the images can be found here.

When I run the code the images do not display. Any ideas what I am doing wrong? I find px.imshow() works for rendering my images; however, I need to use go objects with subplots right? Or am I miss understanding that?

from plotly.subplots import make_subplots
import plotly.graph_objects as go
from skimage import io

img = io.imread("LuCa-7color_[13860,52919]_1x1component_data.tif", plugin="pil")

fig = make_subplots(
    rows=1, cols=3)

fig.add_trace(go.Image(z=img[0]), 1, 1)
fig.add_trace(go.Image(z=img[1]), 1, 2)
fig.add_trace(go.Image(z=img[2]), 1, 3)


Figured it out. It has to do with go.Image not being the appropriate graph for greyscale images.

Use go.Heatmap instead


Each img[k] is a 2d array and go.Image trace is for RGB data only.
For single-channel images you can use either px.imshow or go.Heatmap. In this case you must set a colorsacle which is lighter for small values, like “matter”, because otherwise it is displayed as a dark image:

Thank you for the detailed writeup and suggestion on colorscale!