diff --git a/docs/notebooks/basic_usage.ipynb b/docs/notebooks/basic_usage.ipynb
index 64983d1..57ae8e8 100644
--- a/docs/notebooks/basic_usage.ipynb
+++ b/docs/notebooks/basic_usage.ipynb
@@ -30,7 +30,12 @@
    "outputs": [],
    "source": [
     "from ngio.core import NgffImage\n",
-    "ngff_image = NgffImage(\"../../data/20200812-CardiomyocyteDifferentiation14-Cycle1_mip.zarr/B/03/0\")"
+    "from ngio.core.utils import get_fsspec_http_store\n",
+    "\n",
+    "# Ngio can stream data from any fsspec-compatible store\n",
+    "url = \"https://raw.githubusercontent.com/fractal-analytics-platform/fractal-ome-zarr-examples/refs/heads/main/v04/20200812-CardiomyocyteDifferentiation14-Cycle1_B_03_mip.zarr/\"\n",
+    "store = get_fsspec_http_store(url)\n",
+    "ngff_image = NgffImage(store, \"r\")"
    ]
   },
   {
@@ -47,8 +52,11 @@
    "outputs": [],
    "source": [
     "# Explore object metadata\n",
-    "print(\"Levels: \", ngff_image.levels_paths)\n",
-    "print(\"Num Levels: \", ngff_image.num_levels)"
+    "print(ngff_image)\n",
+    "image = ngff_image.get_image()\n",
+    "print(image)\n",
+    "nuclei = ngff_image.label.get_label(\"nuclei\")\n",
+    "print(nuclei)\n"
    ]
   },
   {
diff --git a/src/ngio/core/utils.py b/src/ngio/core/utils.py
index 3902a04..97dcacd 100644
--- a/src/ngio/core/utils.py
+++ b/src/ngio/core/utils.py
@@ -5,6 +5,8 @@
 from enum import Enum
 from typing import Any
 
+import fsspec.implementations.http
+
 from ngio.io import Group, StoreLike
 from ngio.ngff_meta import (
     ImageLabelMeta,
@@ -24,6 +26,16 @@
     Lock = None
 
 
+def get_fsspec_http_store(
+    url: str, client_kwargs: dict | None = None
+) -> fsspec.mapping.FSMap:
+    """Simple function to get an http fsspec store from a url."""
+    client_kwargs = {} if client_kwargs is None else client_kwargs
+    fs = fsspec.implementations.http.HTTPFileSystem(client_kwargs=client_kwargs)
+    store = fs.get_mapper(url)
+    return store
+
+
 class State(Enum):
     """The state of an object.
 
diff --git a/src/ngio/ngff_meta/fractal_image_meta.py b/src/ngio/ngff_meta/fractal_image_meta.py
index 89f85ab..ff69f3f 100644
--- a/src/ngio/ngff_meta/fractal_image_meta.py
+++ b/src/ngio/ngff_meta/fractal_image_meta.py
@@ -242,6 +242,11 @@ def lazy_init(
         channel_visualization = ChannelVisualisation.lazy_init(
             color=color, start=start, end=end, active=active, data_type=data_type
         )
+
+        if wavelength_id is None:
+            # TODO Evaluate if a better default value can be used
+            wavelength_id = label
+
         return cls(
             label=label,
             wavelength_id=wavelength_id,
diff --git a/src/ngio/tables/_ad_reader.py b/src/ngio/tables/_ad_reader.py
new file mode 100644
index 0000000..306655d
--- /dev/null
+++ b/src/ngio/tables/_ad_reader.py
@@ -0,0 +1,78 @@
+from __future__ import annotations
+
+from typing import TYPE_CHECKING, Any
+
+import zarr
+from anndata import AnnData
+from anndata._io.specs import read_elem
+from anndata._io.utils import _read_legacy_raw
+from anndata._io.zarr import read_dataframe
+from anndata.compat import _clean_uns
+from anndata.experimental import read_dispatched
+
+from ngio.io import open_group_wrapper
+
+if TYPE_CHECKING:
+    from collections.abc import Callable
+
+    from ngio.io import StoreOrGroup
+
+
+def custom_read_zarr(store: StoreOrGroup) -> AnnData:
+    """Read from a hierarchical Zarr array store.
+
+    # Implementation originally from https://github.com/scverse/anndata/blob/main/src/anndata/_io/zarr.py
+    # Original implementation would not work with remote storages so we had to copy it
+    # here and slightly modified it to work with remote storages.
+
+    Args:
+        store (StoreOrGroup): A store or group to read the AnnData from.
+    """
+    group = open_group_wrapper(store=store, mode="r")
+
+    # Read with handling for backwards compat
+    def callback(func: Callable, elem_name: str, elem: Any, iospec: Any) -> Any:
+        if iospec.encoding_type == "anndata" or elem_name.endswith("/"):
+            ad_kwargs = {}
+            base_elem = [
+                "obs",
+                "var",
+                "obsm",
+                "varm",
+                "obsp",
+                "varp",
+                "uns",
+                "layers",
+                "X",
+            ]
+            # This should make sure that the function behaves the same as the original
+            # implementation.
+            base_elem += list(elem.keys())
+            for k in base_elem:
+                v = elem.get(k)
+                if v is not None and not k.startswith("raw."):
+                    ad_kwargs[k] = read_dispatched(v, callback)
+            return AnnData(**ad_kwargs)
+
+        elif elem_name.startswith("/raw."):
+            return None
+        elif elem_name in {"/obs", "/var"}:
+            return read_dataframe(elem)
+        elif elem_name == "/raw":
+            # Backwards compat
+            return _read_legacy_raw(group, func(elem), read_dataframe, func)
+        return func(elem)
+
+    adata = read_dispatched(group, callback=callback)
+
+    # Backwards compat (should figure out which version)
+    if "raw.X" in group:
+        raw = AnnData(**_read_legacy_raw(group, adata.raw, read_dataframe, read_elem))
+        raw.obs_names = adata.obs_names
+        adata.raw = raw
+
+    # Backwards compat for <0.7
+    if isinstance(group["obs"], zarr.Array):
+        _clean_uns(adata)
+
+    return adata
diff --git a/src/ngio/tables/v1/_generic_table.py b/src/ngio/tables/v1/_generic_table.py
index 57ca60b..5daf025 100644
--- a/src/ngio/tables/v1/_generic_table.py
+++ b/src/ngio/tables/v1/_generic_table.py
@@ -9,6 +9,7 @@
 from pydantic import BaseModel
 
 from ngio.core.utils import State
+from ngio.tables._ad_reader import custom_read_zarr
 from ngio.tables._utils import Validator, table_ad_to_df, table_df_to_ad, validate_table
 
 REQUIRED_COLUMNS = [
@@ -77,7 +78,7 @@ def __init__(
         self._index_type = index_type
         self._validators = validators
 
-        table_ad = ad.read_zarr(self._table_group)
+        table_ad = custom_read_zarr(store=group)
 
         self._table = table_ad_to_df(
             table_ad=table_ad,