diff --git a/docs/points_save.md b/docs/points_save.md
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-## Save Annotations to PlantCV Outputs
-
-Using [Jupyter Notebooks](https://plantcv.readthedocs.io/en/stable/jupyter/) it is possible to interactively click to collect coordinates from an image, then save the `counts` or coordinates (`coords`) to the [PlantCV Outputs class](https://plantcv.readthedocs.io/en/stable/outputs/).
-
-**plantcv.annotate.Points.save_coords**()
-
-- **Context:**
-    - Once point annotations are collected, save the list of coordinates with their class label to Outputs and later saved out to file with 
-
-- **Example use:**
-    - Remove noise from a microscopy image that is otherwise difficult to filter out with traditional computer vision
-    techniques, and recover stomata that were filtered out during mask cleaning. 
-
-**Original Image with Annotations: "total" pollen**
-
-![Screenshot](img/documentation_images/points_save/all_pollen.png)
-
-**Original Image with Annotations: "germinated" pollen**
-
-![Screenshot](img/documentation_images/points_save/germinated_pollen.png)
-
-```python
-import plantcv.plantcv as pcv 
-import plantcv.annotate as pcvan
-
-# Create an instance of the Points class
-img, path, name = pcv.readimage("stomata.tif")
-
-# Segmentation & mask clean up steps here 
-
-# Create an instance of the Points class & click on stomata
-marker = pcvan.Points(img=img, figsize=(12,6))
-
-marker.save_coords()
-marker.save_counts()
-
-pcv.outputs.observations
-
-{'total': {'coordinates': {'trait': 'collected coordinates',
-   'method': 'annotation',
-   'scale': 'none',
-   'datatype': "<class 'list'>",
-   'value': [(113, 58),
-    (353, 105),
-    (74, 240),
-    (103, 297),
-    (278, 333),
-    (185, 350),
-    (237, 335),
-    (244, 285),
-    (300, 192),
-    (295, 151),
-    (262, 178),
-    (321, 44),
-    (187, 158),
-    (160, 187),
-    (65, 186)],
-   'label': 'none'},
-  'object_count': {'trait': 'count of category',
-   'method': 'count',
-   'scale': 'count',
-   'datatype': "<class 'int'>",
-   'value': 15,
-   'label': 'none'}},
- 'germinated': {'coordinates': {'trait': 'collected coordinates',
-   'method': 'annotation',
-   'scale': 'none',
-   'datatype': "<class 'list'>",
-   'value': [(64, 186), (244, 286)],
-   'label': 'none'},
-  'object_count': {'trait': 'count of category',
-   'method': 'count',
-   'scale': 'count',
-   'datatype': "<class 'int'>",
-   'value': 2,
-   'label': 'none'}}}
-```
-
-**Source Code:** [Here](https://github.com/danforthcenter/plantcv-annotate/blob/main/plantcv/annotate/classes.py)