diff --git a/src/napari_cryoet_data_portal/_sample_data.py b/src/napari_cryoet_data_portal/_sample_data.py
index adb8934..b368e32 100644
--- a/src/napari_cryoet_data_portal/_sample_data.py
+++ b/src/napari_cryoet_data_portal/_sample_data.py
@@ -1,13 +1,10 @@
 from typing import List
 
 import numpy as np
-from npe2.types import FullLayerData
 from cryoet_data_portal import Client, Tomogram, TomogramVoxelSpacing
+from npe2.types import FullLayerData
 
-from napari_cryoet_data_portal import (
-    read_annotation,
-    read_tomogram,
-)
+from napari_cryoet_data_portal import read_annotation, read_tomogram
 
 
 def tomogram_10000_ts_026() -> List[FullLayerData]:
@@ -22,9 +19,13 @@ def tomogram_10000_ts_027() -> List[FullLayerData]:
 
 def _read_tomogram_from_10000(name: str) -> List[FullLayerData]:
     client = Client()
-    
+
     tomogram_spacing_url = f"https://files.cryoetdataportal.cziscience.com/10000/{name}/Tomograms/VoxelSpacing13.480/"
-    tomogram_spacing = next(TomogramVoxelSpacing.find(client, [TomogramVoxelSpacing.https_prefix == tomogram_spacing_url]))
+    tomogram_spacing = next(
+        TomogramVoxelSpacing.find(
+            client, [TomogramVoxelSpacing.https_prefix == tomogram_spacing_url]
+        )
+    )
 
     tomogram: Tomogram = next(tomogram_spacing.tomograms)
 
@@ -34,8 +35,18 @@ def _read_tomogram_from_10000(name: str) -> List[FullLayerData]:
     tomogram_image[1]["scale"] = (4, 4, 4)
 
     annotations = tuple(tomogram_spacing.annotations)
-    ribosome_points = read_annotation(annotations[0], tomogram=tomogram)
-    fatty_acid_points = read_annotation(annotations[1], tomogram=tomogram)
+    ribosome_annotations = [
+        item
+        for item in annotations
+        if item.object_name.lower() == "cytosolic ribosome"
+    ].pop()
+    fas_annotations = [
+        item
+        for item in annotations
+        if item.object_name.lower() == "fatty acid synthase"
+    ].pop()
+    ribosome_points = read_annotation(ribosome_annotations, tomogram=tomogram)
+    fatty_acid_points = read_annotation(fas_annotations, tomogram=tomogram)
 
     return [
         tomogram_image,