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Some suggestions and proposals for annotations in SpatialData #975

Description

@selmanozleyen

Hi,

I'd like to first start this conversation then create more specific issues in points you agree with me. I have some suggestions about modifying and generalizing the internals of SpatialData annotations.

One row can only link to one spatial element

Image

Currently, a row in a table can at most only annotate one type of a spatial element. E.g. If sdata['table'][i] annotates sdata['shape'][i], then sdata['table'][i] can't annotate sdata['label'][i].

Take this test code I wrote for example #946

sdata=concatenate(
{
"labels": blobs_annotating_element("blobs_labels"),
"shapes": blobs_annotating_element("blobs_circles"),
"points": blobs_annotating_element("blobs_points"),
"multiscale_labels": blobs_annotating_element("blobs_multiscale_labels"),
},
concatenate_tables=True,
)
third_elems=sdata.tables["table"].obs["instance_id"] ==3subset_sdata=subset_sdata_by_table_mask(sdata, "table", third_elems)
# here elements with instance_id 3 are more than one in the table# just to be able to annotate a cell in another region I had to duplicate the count information etc

My conclusion

Because we store each row-to-row mapping in the table itself we end up having to duplicate count information because we "explode" the table.

One row can only link to one item of a spatial element

One-to-many relationship is something we'd like to actually have for points I think. We already have this implicitly for the labels. And we can support this by just generalizing the current annotation scheme.

My suggestion to solve both issues

Ultimately we want a mapping {src_key: {dst_element_name: (dst_access, dst_kind, link_kind, dst_instance_key)}}.

  • dst_access is the access method of the dst element, for example "value" or "key". Currently for labels we use "value" since there is no columns in a raster image and for shapes and points we use "key" since we have a column in the table
  • dst_kind is the kind of the dst element, for example "labels", "shapes", "points".
  • link_kind is the kind of the link, for example "one-to-one", "one-to-many".
  • dst_instance_key is the key of the dst element if dst_access is "key".

Currently dst_kind serves no purpose as we define the kind of linking we want but I added it for future flexibility.

User interface might look like this.

mapping= {
"instance_id": {
"blobs_labels": ("value", "label", "one-to-one", None), "blobs_circles": ("key", "shape", "one-to-one", ("shape_id",)),
"parts_of_a_cell": ("key", "shape", "one-to-many", ("shape_id",)),
"blobs_points": ("key", "point", "one-to-many", ("contained_in_shape_id",)),
},
}
add_links(sdata, "table", mapping)

Stored in exploded normalized form for example sdata.tables["table"].uns["row_mappings"]

| src_instance_key | dst_elem_name | dst_instance_key | dst_access | dst_kind | link_kind |
| "instance_id" | "blobs_labels" | ... | "value" | "label" | "one-to-one" |
| "instance_id" | "blobs_circles" | ... | "key" | "shape" | "one-to-one" |
| "instance_id" | "parts_of_a_cell" | ... | "key" | "shape" | "one-to-many" |
| "instance_id" | "blobs_points" | ... | "key" | "point" | "one-to-many" |

I think we can manage these changes in a backwards compatible way and this will open up a lot of possibilities for future extensions.

Bonus points: we would have easier time achieving this #293 (comment) as well since the mapping descriptions is much smaller than adding a column to the .obs

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    Some suggestions and proposals for annotations in SpatialData · Issue #975 · scverse/spatialdata · GitHub
    Skip to content

    Some suggestions and proposals for annotations in SpatialData #975

    Description

    @selmanozleyen

    Hi,

    I'd like to first start this conversation then create more specific issues in points you agree with me. I have some suggestions about modifying and generalizing the internals of SpatialData annotations.

    One row can only link to one spatial element

    Image

    Currently, a row in a table can at most only annotate one type of a spatial element. E.g. If sdata['table'][i] annotates sdata['shape'][i], then sdata['table'][i] can't annotate sdata['label'][i].

    Take this test code I wrote for example #946

    sdata=concatenate(
    {
    "labels": blobs_annotating_element("blobs_labels"),
    "shapes": blobs_annotating_element("blobs_circles"),
    "points": blobs_annotating_element("blobs_points"),
    "multiscale_labels": blobs_annotating_element("blobs_multiscale_labels"),
    },
    concatenate_tables=True,
    )
    third_elems=sdata.tables["table"].obs["instance_id"] ==3subset_sdata=subset_sdata_by_table_mask(sdata, "table", third_elems)
    # here elements with instance_id 3 are more than one in the table# just to be able to annotate a cell in another region I had to duplicate the count information etc

    My conclusion

    Because we store each row-to-row mapping in the table itself we end up having to duplicate count information because we "explode" the table.

    One row can only link to one item of a spatial element

    One-to-many relationship is something we'd like to actually have for points I think. We already have this implicitly for the labels. And we can support this by just generalizing the current annotation scheme.

    My suggestion to solve both issues

    Ultimately we want a mapping {src_key: {dst_element_name: (dst_access, dst_kind, link_kind, dst_instance_key)}}.

    • dst_access is the access method of the dst element, for example "value" or "key". Currently for labels we use "value" since there is no columns in a raster image and for shapes and points we use "key" since we have a column in the table
    • dst_kind is the kind of the dst element, for example "labels", "shapes", "points".
    • link_kind is the kind of the link, for example "one-to-one", "one-to-many".
    • dst_instance_key is the key of the dst element if dst_access is "key".

    Currently dst_kind serves no purpose as we define the kind of linking we want but I added it for future flexibility.

    User interface might look like this.

    mapping= {
    "instance_id": {
    "blobs_labels": ("value", "label", "one-to-one", None), "blobs_circles": ("key", "shape", "one-to-one", ("shape_id",)),
    "parts_of_a_cell": ("key", "shape", "one-to-many", ("shape_id",)),
    "blobs_points": ("key", "point", "one-to-many", ("contained_in_shape_id",)),
    },
    }
    add_links(sdata, "table", mapping)

    Stored in exploded normalized form for example sdata.tables["table"].uns["row_mappings"]

    | src_instance_key | dst_elem_name | dst_instance_key | dst_access | dst_kind | link_kind |
    | "instance_id" | "blobs_labels" | ... | "value" | "label" | "one-to-one" |
    | "instance_id" | "blobs_circles" | ... | "key" | "shape" | "one-to-one" |
    | "instance_id" | "parts_of_a_cell" | ... | "key" | "shape" | "one-to-many" |
    | "instance_id" | "blobs_points" | ... | "key" | "point" | "one-to-many" |
    

    I think we can manage these changes in a backwards compatible way and this will open up a lot of possibilities for future extensions.

    Bonus points: we would have easier time achieving this #293 (comment) as well since the mapping descriptions is much smaller than adding a column to the .obs

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      Skip to content

      Some suggestions and proposals for annotations in SpatialData #975

      Description

      @selmanozleyen

      Hi,

      I'd like to first start this conversation then create more specific issues in points you agree with me. I have some suggestions about modifying and generalizing the internals of SpatialData annotations.

      One row can only link to one spatial element

      Image

      Currently, a row in a table can at most only annotate one type of a spatial element. E.g. If sdata['table'][i] annotates sdata['shape'][i], then sdata['table'][i] can't annotate sdata['label'][i].

      Take this test code I wrote for example #946

      sdata=concatenate(
      {
      "labels": blobs_annotating_element("blobs_labels"),
      "shapes": blobs_annotating_element("blobs_circles"),
      "points": blobs_annotating_element("blobs_points"),
      "multiscale_labels": blobs_annotating_element("blobs_multiscale_labels"),
      },
      concatenate_tables=True,
      )
      third_elems=sdata.tables["table"].obs["instance_id"] ==3subset_sdata=subset_sdata_by_table_mask(sdata, "table", third_elems)
      # here elements with instance_id 3 are more than one in the table# just to be able to annotate a cell in another region I had to duplicate the count information etc

      My conclusion

      Because we store each row-to-row mapping in the table itself we end up having to duplicate count information because we "explode" the table.

      One row can only link to one item of a spatial element

      One-to-many relationship is something we'd like to actually have for points I think. We already have this implicitly for the labels. And we can support this by just generalizing the current annotation scheme.

      My suggestion to solve both issues

      Ultimately we want a mapping {src_key: {dst_element_name: (dst_access, dst_kind, link_kind, dst_instance_key)}}.

      • dst_access is the access method of the dst element, for example "value" or "key". Currently for labels we use "value" since there is no columns in a raster image and for shapes and points we use "key" since we have a column in the table
      • dst_kind is the kind of the dst element, for example "labels", "shapes", "points".
      • link_kind is the kind of the link, for example "one-to-one", "one-to-many".
      • dst_instance_key is the key of the dst element if dst_access is "key".

      Currently dst_kind serves no purpose as we define the kind of linking we want but I added it for future flexibility.

      User interface might look like this.

      mapping= {
      "instance_id": {
      "blobs_labels": ("value", "label", "one-to-one", None), "blobs_circles": ("key", "shape", "one-to-one", ("shape_id",)),
      "parts_of_a_cell": ("key", "shape", "one-to-many", ("shape_id",)),
      "blobs_points": ("key", "point", "one-to-many", ("contained_in_shape_id",)),
      },
      }
      add_links(sdata, "table", mapping)

      Stored in exploded normalized form for example sdata.tables["table"].uns["row_mappings"]

      | src_instance_key | dst_elem_name | dst_instance_key | dst_access | dst_kind | link_kind |
      | "instance_id" | "blobs_labels" | ... | "value" | "label" | "one-to-one" |
      | "instance_id" | "blobs_circles" | ... | "key" | "shape" | "one-to-one" |
      | "instance_id" | "parts_of_a_cell" | ... | "key" | "shape" | "one-to-many" |
      | "instance_id" | "blobs_points" | ... | "key" | "point" | "one-to-many" |
      

      I think we can manage these changes in a backwards compatible way and this will open up a lot of possibilities for future extensions.

      Bonus points: we would have easier time achieving this #293 (comment) as well since the mapping descriptions is much smaller than adding a column to the .obs

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        , 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Some suggestions and proposals for annotations in SpatialData · Issue #975 · scverse/spatialdata · GitHub
        Skip to content

        Some suggestions and proposals for annotations in SpatialData #975

        Description

        @selmanozleyen

        Hi,

        I'd like to first start this conversation then create more specific issues in points you agree with me. I have some suggestions about modifying and generalizing the internals of SpatialData annotations.

        One row can only link to one spatial element

        Image

        Currently, a row in a table can at most only annotate one type of a spatial element. E.g. If sdata['table'][i] annotates sdata['shape'][i], then sdata['table'][i] can't annotate sdata['label'][i].

        Take this test code I wrote for example #946

        sdata=concatenate(
        {
        "labels": blobs_annotating_element("blobs_labels"),
        "shapes": blobs_annotating_element("blobs_circles"),
        "points": blobs_annotating_element("blobs_points"),
        "multiscale_labels": blobs_annotating_element("blobs_multiscale_labels"),
        },
        concatenate_tables=True,
        )
        third_elems=sdata.tables["table"].obs["instance_id"] ==3subset_sdata=subset_sdata_by_table_mask(sdata, "table", third_elems)
        # here elements with instance_id 3 are more than one in the table# just to be able to annotate a cell in another region I had to duplicate the count information etc

        My conclusion

        Because we store each row-to-row mapping in the table itself we end up having to duplicate count information because we "explode" the table.

        One row can only link to one item of a spatial element

        One-to-many relationship is something we'd like to actually have for points I think. We already have this implicitly for the labels. And we can support this by just generalizing the current annotation scheme.

        My suggestion to solve both issues

        Ultimately we want a mapping {src_key: {dst_element_name: (dst_access, dst_kind, link_kind, dst_instance_key)}}.

        • dst_access is the access method of the dst element, for example "value" or "key". Currently for labels we use "value" since there is no columns in a raster image and for shapes and points we use "key" since we have a column in the table
        • dst_kind is the kind of the dst element, for example "labels", "shapes", "points".
        • link_kind is the kind of the link, for example "one-to-one", "one-to-many".
        • dst_instance_key is the key of the dst element if dst_access is "key".

        Currently dst_kind serves no purpose as we define the kind of linking we want but I added it for future flexibility.

        User interface might look like this.

        mapping= {
        "instance_id": {
        "blobs_labels": ("value", "label", "one-to-one", None), "blobs_circles": ("key", "shape", "one-to-one", ("shape_id",)),
        "parts_of_a_cell": ("key", "shape", "one-to-many", ("shape_id",)),
        "blobs_points": ("key", "point", "one-to-many", ("contained_in_shape_id",)),
        },
        }
        add_links(sdata, "table", mapping)

        Stored in exploded normalized form for example sdata.tables["table"].uns["row_mappings"]

        | src_instance_key | dst_elem_name | dst_instance_key | dst_access | dst_kind | link_kind |
        | "instance_id" | "blobs_labels" | ... | "value" | "label" | "one-to-one" |
        | "instance_id" | "blobs_circles" | ... | "key" | "shape" | "one-to-one" |
        | "instance_id" | "parts_of_a_cell" | ... | "key" | "shape" | "one-to-many" |
        | "instance_id" | "blobs_points" | ... | "key" | "point" | "one-to-many" |
        

        I think we can manage these changes in a backwards compatible way and this will open up a lot of possibilities for future extensions.

        Bonus points: we would have easier time achieving this #293 (comment) as well since the mapping descriptions is much smaller than adding a column to the .obs

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          , 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' Some suggestions and proposals for annotations in SpatialData · Issue #975 · scverse/spatialdata · GitHub
          Skip to content

          Some suggestions and proposals for annotations in SpatialData #975

          Description

          @selmanozleyen

          Hi,

          I'd like to first start this conversation then create more specific issues in points you agree with me. I have some suggestions about modifying and generalizing the internals of SpatialData annotations.

          One row can only link to one spatial element

          Image

          Currently, a row in a table can at most only annotate one type of a spatial element. E.g. If sdata['table'][i] annotates sdata['shape'][i], then sdata['table'][i] can't annotate sdata['label'][i].

          Take this test code I wrote for example #946

          sdata=concatenate(
          {
          "labels": blobs_annotating_element("blobs_labels"),
          "shapes": blobs_annotating_element("blobs_circles"),
          "points": blobs_annotating_element("blobs_points"),
          "multiscale_labels": blobs_annotating_element("blobs_multiscale_labels"),
          },
          concatenate_tables=True,
          )
          third_elems=sdata.tables["table"].obs["instance_id"] ==3subset_sdata=subset_sdata_by_table_mask(sdata, "table", third_elems)
          # here elements with instance_id 3 are more than one in the table# just to be able to annotate a cell in another region I had to duplicate the count information etc

          My conclusion

          Because we store each row-to-row mapping in the table itself we end up having to duplicate count information because we "explode" the table.

          One row can only link to one item of a spatial element

          One-to-many relationship is something we'd like to actually have for points I think. We already have this implicitly for the labels. And we can support this by just generalizing the current annotation scheme.

          My suggestion to solve both issues

          Ultimately we want a mapping {src_key: {dst_element_name: (dst_access, dst_kind, link_kind, dst_instance_key)}}.

          • dst_access is the access method of the dst element, for example "value" or "key". Currently for labels we use "value" since there is no columns in a raster image and for shapes and points we use "key" since we have a column in the table
          • dst_kind is the kind of the dst element, for example "labels", "shapes", "points".
          • link_kind is the kind of the link, for example "one-to-one", "one-to-many".
          • dst_instance_key is the key of the dst element if dst_access is "key".

          Currently dst_kind serves no purpose as we define the kind of linking we want but I added it for future flexibility.

          User interface might look like this.

          mapping= {
          "instance_id": {
          "blobs_labels": ("value", "label", "one-to-one", None), "blobs_circles": ("key", "shape", "one-to-one", ("shape_id",)),
          "parts_of_a_cell": ("key", "shape", "one-to-many", ("shape_id",)),
          "blobs_points": ("key", "point", "one-to-many", ("contained_in_shape_id",)),
          },
          }
          add_links(sdata, "table", mapping)

          Stored in exploded normalized form for example sdata.tables["table"].uns["row_mappings"]

          | src_instance_key | dst_elem_name | dst_instance_key | dst_access | dst_kind | link_kind |
          | "instance_id" | "blobs_labels" | ... | "value" | "label" | "one-to-one" |
          | "instance_id" | "blobs_circles" | ... | "key" | "shape" | "one-to-one" |
          | "instance_id" | "parts_of_a_cell" | ... | "key" | "shape" | "one-to-many" |
          | "instance_id" | "blobs_points" | ... | "key" | "point" | "one-to-many" |
          

          I think we can manage these changes in a backwards compatible way and this will open up a lot of possibilities for future extensions.

          Bonus points: we would have easier time achieving this #293 (comment) as well since the mapping descriptions is much smaller than adding a column to the .obs

          Metadata

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            Some suggestions and proposals for annotations in SpatialData #975

            Description

            @selmanozleyen

            Hi,

            I'd like to first start this conversation then create more specific issues in points you agree with me. I have some suggestions about modifying and generalizing the internals of SpatialData annotations.

            One row can only link to one spatial element

            Image

            Currently, a row in a table can at most only annotate one type of a spatial element. E.g. If sdata['table'][i] annotates sdata['shape'][i], then sdata['table'][i] can't annotate sdata['label'][i].

            Take this test code I wrote for example #946

            sdata=concatenate(
            {
            "labels": blobs_annotating_element("blobs_labels"),
            "shapes": blobs_annotating_element("blobs_circles"),
            "points": blobs_annotating_element("blobs_points"),
            "multiscale_labels": blobs_annotating_element("blobs_multiscale_labels"),
            },
            concatenate_tables=True,
            )
            third_elems=sdata.tables["table"].obs["instance_id"] ==3subset_sdata=subset_sdata_by_table_mask(sdata, "table", third_elems)
            # here elements with instance_id 3 are more than one in the table# just to be able to annotate a cell in another region I had to duplicate the count information etc

            My conclusion

            Because we store each row-to-row mapping in the table itself we end up having to duplicate count information because we "explode" the table.

            One row can only link to one item of a spatial element

            One-to-many relationship is something we'd like to actually have for points I think. We already have this implicitly for the labels. And we can support this by just generalizing the current annotation scheme.

            My suggestion to solve both issues

            Ultimately we want a mapping {src_key: {dst_element_name: (dst_access, dst_kind, link_kind, dst_instance_key)}}.

            • dst_access is the access method of the dst element, for example "value" or "key". Currently for labels we use "value" since there is no columns in a raster image and for shapes and points we use "key" since we have a column in the table
            • dst_kind is the kind of the dst element, for example "labels", "shapes", "points".
            • link_kind is the kind of the link, for example "one-to-one", "one-to-many".
            • dst_instance_key is the key of the dst element if dst_access is "key".

            Currently dst_kind serves no purpose as we define the kind of linking we want but I added it for future flexibility.

            User interface might look like this.

            mapping= {
            "instance_id": {
            "blobs_labels": ("value", "label", "one-to-one", None), "blobs_circles": ("key", "shape", "one-to-one", ("shape_id",)),
            "parts_of_a_cell": ("key", "shape", "one-to-many", ("shape_id",)),
            "blobs_points": ("key", "point", "one-to-many", ("contained_in_shape_id",)),
            },
            }
            add_links(sdata, "table", mapping)

            Stored in exploded normalized form for example sdata.tables["table"].uns["row_mappings"]

            | src_instance_key | dst_elem_name | dst_instance_key | dst_access | dst_kind | link_kind |
            | "instance_id" | "blobs_labels" | ... | "value" | "label" | "one-to-one" |
            | "instance_id" | "blobs_circles" | ... | "key" | "shape" | "one-to-one" |
            | "instance_id" | "parts_of_a_cell" | ... | "key" | "shape" | "one-to-many" |
            | "instance_id" | "blobs_points" | ... | "key" | "point" | "one-to-many" |
            

            I think we can manage these changes in a backwards compatible way and this will open up a lot of possibilities for future extensions.

            Bonus points: we would have easier time achieving this #293 (comment) as well since the mapping descriptions is much smaller than adding a column to the .obs

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              Skip to content

              Some suggestions and proposals for annotations in SpatialData #975

              Description

              @selmanozleyen

              Hi,

              I'd like to first start this conversation then create more specific issues in points you agree with me. I have some suggestions about modifying and generalizing the internals of SpatialData annotations.

              One row can only link to one spatial element

              Image

              Currently, a row in a table can at most only annotate one type of a spatial element. E.g. If sdata['table'][i] annotates sdata['shape'][i], then sdata['table'][i] can't annotate sdata['label'][i].

              Take this test code I wrote for example #946

              sdata=concatenate(
              {
              "labels": blobs_annotating_element("blobs_labels"),
              "shapes": blobs_annotating_element("blobs_circles"),
              "points": blobs_annotating_element("blobs_points"),
              "multiscale_labels": blobs_annotating_element("blobs_multiscale_labels"),
              },
              concatenate_tables=True,
              )
              third_elems=sdata.tables["table"].obs["instance_id"] ==3subset_sdata=subset_sdata_by_table_mask(sdata, "table", third_elems)
              # here elements with instance_id 3 are more than one in the table# just to be able to annotate a cell in another region I had to duplicate the count information etc

              My conclusion

              Because we store each row-to-row mapping in the table itself we end up having to duplicate count information because we "explode" the table.

              One row can only link to one item of a spatial element

              One-to-many relationship is something we'd like to actually have for points I think. We already have this implicitly for the labels. And we can support this by just generalizing the current annotation scheme.

              My suggestion to solve both issues

              Ultimately we want a mapping {src_key: {dst_element_name: (dst_access, dst_kind, link_kind, dst_instance_key)}}.

              • dst_access is the access method of the dst element, for example "value" or "key". Currently for labels we use "value" since there is no columns in a raster image and for shapes and points we use "key" since we have a column in the table
              • dst_kind is the kind of the dst element, for example "labels", "shapes", "points".
              • link_kind is the kind of the link, for example "one-to-one", "one-to-many".
              • dst_instance_key is the key of the dst element if dst_access is "key".

              Currently dst_kind serves no purpose as we define the kind of linking we want but I added it for future flexibility.

              User interface might look like this.

              mapping= {
              "instance_id": {
              "blobs_labels": ("value", "label", "one-to-one", None), "blobs_circles": ("key", "shape", "one-to-one", ("shape_id",)),
              "parts_of_a_cell": ("key", "shape", "one-to-many", ("shape_id",)),
              "blobs_points": ("key", "point", "one-to-many", ("contained_in_shape_id",)),
              },
              }
              add_links(sdata, "table", mapping)

              Stored in exploded normalized form for example sdata.tables["table"].uns["row_mappings"]

              | src_instance_key | dst_elem_name | dst_instance_key | dst_access | dst_kind | link_kind |
              | "instance_id" | "blobs_labels" | ... | "value" | "label" | "one-to-one" |
              | "instance_id" | "blobs_circles" | ... | "key" | "shape" | "one-to-one" |
              | "instance_id" | "parts_of_a_cell" | ... | "key" | "shape" | "one-to-many" |
              | "instance_id" | "blobs_points" | ... | "key" | "point" | "one-to-many" |
              

              I think we can manage these changes in a backwards compatible way and this will open up a lot of possibilities for future extensions.

              Bonus points: we would have easier time achieving this #293 (comment) as well since the mapping descriptions is much smaller than adding a column to the .obs

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