How to apply colormap on image in dash slicer?

Dash Python
1

I use dash slicer for my 2D image data with time variation. I want to show image with colormaps (if possible add clim) like we normally do using matplotlib. Do you know any example of this?

my code is below:

from dash import Dash, html
from dash_slicer import VolumeSlicer
import os
from PIL import Image

app = Dash(__name__, update_title=None)

image = []
names = ['df_','DF_']
value = r'E:\young\'
files = sorted(os.listdir(value))
df_files = [file for file in files for name in names if name in file]
for df_file in df_files:
    file = os.path.join(value,df_file)
    image_temp = Image.open(file)
    image.append(np.array(image_temp))
img = np.array(image)

slicer = VolumeSlicer(app, img)
slicer.graph.config["scrollZoom"] = False

app.layout = html.Div([slicer.graph, slicer.slider, *slicer.stores])


if __name__ == "__main__":
    app.run(debug=True, dev_tools_props_check=False, port = 5463)
2

I use the code below…

fig = px.imshow(
            img,
            zmin=0,
            zmax=5,
            color_continuous_scale='viridis',
            animation_frame=0,
            labels=dict(animation_frame="slice"),
        )