fastplotlib
diff --git a/‎fastplotlib/graphics/features/_data.py
Copy file name to clipboardExpand all lines: fastplotlib/graphics/features/_data.py
+5-2Lines changed: 5 additions & 2 deletions b/‎fastplotlib/graphics/features/_data.py
Copy file name to clipboardExpand all lines: fastplotlib/graphics/features/_data.py
+5-2Lines changed: 5 additions & 2 deletions
diff --git a/‎fastplotlib/graphics/image.py
Copy file name to clipboardExpand all lines: fastplotlib/graphics/image.py
+18-7Lines changed: 18 additions & 7 deletions b/‎fastplotlib/graphics/image.py
Copy file name to clipboardExpand all lines: fastplotlib/graphics/image.py
+18-7Lines changed: 18 additions & 7 deletions
@@ -96,8 +96,11 @@ class ImageDataFeature(GraphicFeatureIndexable):
     """
 
     def __init__(self, parent, data: Any):
-        if data.ndim != 2:
-            raise ValueError("`data.ndim !=2`, you must pass only a 2D array to an Image graphic")
+        if data.ndim not in (2, 3):
+            raise ValueError(
+                "`data.ndim` must be 2 or 3, ImageGraphic data shape must be "
+                "``[x_dim, y_dim]`` or ``[x_dim, y_dim, rgb]``"
+            )
 
         data = to_float32(data)
         super(ImageDataFeature, self).__init__(parent, data)
 
@@ -28,15 +28,16 @@ def __init__(
 
         Parameters
         ----------
-        data: array-like, must be 2-dimensional
+        data: array-like
             array-like, usually numpy.ndarray, must support ``memoryview()``
             Tensorflow Tensors also work **probably**, but not thoroughly tested
+            | shape must be ``[x_dim, y_dim]`` or ``[x_dim, y_dim, rgb]``
         vmin: int, optional
             minimum value for color scaling, calculated from data if not provided
         vmax: int, optional
             maximum value for color scaling, calculated from data if not provided
-        cmap: str, optional, default "nearest"
-            colormap to use to display the image data, default is ``"plasma"``
+        cmap: str, optional, default "plasma"
+            colormap to use to display the image data, ignored if data is RGB
         filter: str, optional, default "nearest"
             interpolation filter, one of "nearest" or "linear"
         args:
@@ -66,13 +67,23 @@ def __init__(
         if (vmin is None) or (vmax is None):
             vmin, vmax = quick_min_max(data)
 
-        self.cmap = ImageCmapFeature(self, cmap)
-
         texture_view = pygfx.Texture(self.data(), dim=2).get_view(filter=filter)
 
+        geometry = pygfx.Geometry(grid=texture_view)
+
+        # if data is RGB
+        if self.data().ndim == 3:
+            self.cmap = None
+            material = pygfx.ImageBasicMaterial(clim=(vmin, vmax))
+
+        # if data is just 2D without color information, use colormap LUT
+        else:
+            self.cmap = ImageCmapFeature(self, cmap)
+            material = pygfx.ImageBasicMaterial(clim=(vmin, vmax), map=self.cmap())
+
         self._world_object: pygfx.Image = pygfx.Image(
-            pygfx.Geometry(grid=texture_view),
-            pygfx.ImageBasicMaterial(clim=(vmin, vmax), map=self.cmap())
+            geometry,
+            material
         )
 
     @property