diff --git a/docs/source/examples/pl_sscan.ipynb b/docs/source/examples/pl_sscan.ipynb
new file mode 100644
index 000000000..1ed927799
--- /dev/null
+++ b/docs/source/examples/pl_sscan.ipynb
@@ -0,0 +1,1494 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# The synApps `sscan`\n",
+    "\n",
+    "The synApps `sscan` record is used to measure scans of detector(s) *v*. positioner(s).  It can be configured for step (linear) scans, list (table) scans, or fly scans.\n",
+    "\n",
+    "**Goals**: Demonstrate use the `sscan` record with Bluesky.\n",
+    "\n",
+    "1. Press SCAN button of a preconfigured scan.\n",
+    "\n",
+    "    1. Use a polling loop to wait for scan to end.\n",
+    "    2. Use a Status object to wait for scan to end.\n",
+    "\n",
+    "2. Same, but connect with most `sscan` record fields and get data after scan.\n",
+    "3. Setup the same scan from bluesky.\n",
+    "4. Add the scan data as a bluesky run.\n",
+    "\n",
+    "This notebook is intended for those who are familiar with EPICS and its motor, scaler, and sscan records but are new to Bluesky."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Python setup\n",
+    "\n",
+    "The first example will need only the bluesky RunEngine.  It will not need any\n",
+    "databroker catalog.  The EPICS IOC has a prefix of `gp:`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import bluesky\n",
+    "import bluesky.plan_stubs as bps\n",
+    "\n",
+    "RE = bluesky.RunEngine()\n",
+    "IOC = \"gp:\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Example 1 -- Press SCAN button of a preconfigured scan\n",
+    "\n",
+    "Consider the case where the `sscan` record is already configured with all the\n",
+    "parameters necessary to perform a complete step scan.\n",
+    "\n",
+    "The next screen (left) shows `gp:scan1` is configured to step scan motor `m1`\n",
+    "from -1.2 to 1.2 in 21 points, collecting counts from scaler `gp:scaler1`\n",
+    "channels 2 & 4 (`I0` & `diode`, respectively). The next screen (right) shows\n",
+    "`gp:scaler1` is configured with a counting time of 0.2 seconds per point and\n",
+    "several detector channels.\n",
+    "\n",
+    "scaler | scan\n",
+    "--- | ---\n",
+    "![scaler1 setup](./scaler16.png) | ![scan1 setup](./sscan-scaler-v-motor.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The `sscan` is preconfigured and will begin running when the *SCAN* button is\n",
+    "pressed.  When the *SCAN* button is pressed, a `1` is sent to EPICS PV\n",
+    "`gp:scan1.EXSC` and the `sscan` starts.  When the `sscan` finishes, the value of\n",
+    "the button returns to `0`.\n",
+    "\n",
+    "First, connect with the EPICS PV of the button using `ophyd.EpicsSignal`.  Once connected, show the current value."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0\n"
+     ]
+    }
+   ],
+   "source": [
+    "from ophyd import EpicsSignal\n",
+    "\n",
+    "scan_button = EpicsSignal(f\"{IOC}scan1.EXSC\", name=\"scan_button\")\n",
+    "scan_button.wait_for_connection()\n",
+    "print(f\"{scan_button.get()}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Write a bluesky plan that pushes the button, waits a brief moment for the scan\n",
+    "to start, then waits for the scan to end.  This simple example waits by\n",
+    "periodically polling the value of the button.\n",
+    "\n",
+    "Here, `scan_button.get(use_monitor=False)` forces ophyd to get a new value\n",
+    "from EPICS (and not to rely on the monitor value being updated promptly).\n",
+    "Probably not necessary to use `use_monitor=False`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def run_sscan():\n",
+    "    yield from bps.mv(scan_button, 1)\n",
+    "    print(\"Started scan ...\")\n",
+    "    yield from bps.sleep(0.1)  # wait for scan to start\n",
+    "    while scan_button.get(use_monitor=False) != 0:\n",
+    "        yield from bps.sleep(0.1)\n",
+    "    print(\"Scan done.\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Execute the `run_sscan()` plan using the bluesky RunEngine `RE`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Started scan ...\n",
+      "Scan done.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "()"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "RE(run_sscan())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To get the data from the `sscan` record, we use `ophyd.EpicsSignalRO` to connect with the arrays.  We'll do that in a later section of this notebook.\n",
+    "\n",
+    "Let's eliminate that polling loop.  This will make the plan respond more quickly\n",
+    "when the button changes value.  The `ophyd.status.Status` class (runs in the\n",
+    "background) reports when the scan has finished or times out.  We define an inner\n",
+    "`watch_the_button()` function to detect when the button goes from `1` to `0`\n",
+    "(the scan stops).  We setup a subscription (*after* we start the move) to\n",
+    "monitor the button value and respond immediately.  We wait for the status object\n",
+    "to finish with `st.wait()`. Finally, we cancel the monitor of the button."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from ophyd.status import Status\n",
+    "\n",
+    "def run_sscan():\n",
+    "    st = Status(timeout=20)\n",
+    "\n",
+    "    def watch_the_button(old_value, value, **kwargs):\n",
+    "        if old_value == 1 and value == 0:\n",
+    "            st.set_finished()\n",
+    "\n",
+    "    yield from bps.mv(scan_button, 1)\n",
+    "    scan_button.subscribe(watch_the_button)\n",
+    "    st.wait()\n",
+    "    scan_button.unsubscribe_all()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "()"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "RE(run_sscan())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Example 2 -- Run preconfigured `sscan` record\n",
+    "\n",
+    "The `apstools.synApps.SscanRecord` class provides access to most of the fields\n",
+    "provided by a `sscan` record.  Use `SscanRecord` to connect and repeat the above\n",
+    "example.  With the `SscanRecord` class, the button is called `execute_scan`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from apstools.synApps import SscanRecord\n",
+    "\n",
+    "scan1 = SscanRecord(f\"{IOC}scan1\", name=\"scan1\")\n",
+    "scan1.wait_for_connection()\n",
+    "\n",
+    "def run_sscan():\n",
+    "    st = Status(timeout=20)\n",
+    "\n",
+    "    def watch_the_button(old_value, value, **kwargs):\n",
+    "        if old_value == 1 and value == 0:\n",
+    "            st.set_finished()\n",
+    "\n",
+    "    yield from bps.mv(scan1.execute_scan, 1)\n",
+    "    scan1.execute_scan.subscribe(watch_the_button)\n",
+    "    st.wait()\n",
+    "    scan1.execute_scan.unsubscribe_all()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "()"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "RE(run_sscan())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Retrieve the data collected by `scan1` as a dictionary of numpy arrays.  Include\n",
+    "both detectors and the motor.  The `sscan` record has buffers capable of\n",
+    "collecting as many as 1,000 points per array.  First get the number of points\n",
+    "collected, then limit each array length to that number.\n",
+    "\n",
+    "If we write this as a function, we can call it again later.  Since it executes quickly, it does not need to be written as a bluesky plan."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'m1': array([-1.2 , -1.08, -0.96, -0.84, -0.72, -0.6 , -0.48, -0.36, -0.24,\n",
+       "        -0.12,  0.  ,  0.12,  0.24,  0.36,  0.48,  0.6 ,  0.72,  0.84,\n",
+       "         0.96,  1.08,  1.2 ]),\n",
+       " 'I0': array([1., 1., 0., 1., 1., 1., 0., 2., 1., 3., 4., 4., 3., 2., 1., 1., 1.,\n",
+       "        0., 2., 1., 0.], dtype=float32),\n",
+       " 'diode': array([0., 1., 1., 1., 1., 1., 1., 1., 2., 2., 4., 5., 3., 1., 2., 1., 1.,\n",
+       "        1., 1., 2., 1.], dtype=float32)}"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def get_sscan_data():\n",
+    "    npts = scan1.current_point.get()\n",
+    "    data = {\n",
+    "        \"m1\": scan1.positioners.p1.array.get()[:npts],\n",
+    "        \"I0\": scan1.detectors.d01.array.get()[:npts],\n",
+    "        \"diode\": scan1.detectors.d02.array.get()[:npts],\n",
+    "    }\n",
+    "    return data\n",
+    "\n",
+    "get_sscan_data()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Example 3 -- Setup and run same scan from bluesky\n",
+    "\n",
+    "Repeat the scan from the previous examples, but use bluesky to configure\n",
+    "`scan1`.  It will be useful to connect the motor, the scaler, and two the scaler\n",
+    "channels."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from ophyd import EpicsMotor\n",
+    "from ophyd.scaler import ScalerCH\n",
+    "\n",
+    "m1 = EpicsMotor(f\"{IOC}m1\", name=\"m1\")\n",
+    "scaler1 = ScalerCH(f\"{IOC}scaler1\", name=\"scaler1\")\n",
+    "m1.wait_for_connection()\n",
+    "scaler1.wait_for_connection()\n",
+    "\n",
+    "# for convenience\n",
+    "I0 = scaler1.channels.chan02.s\n",
+    "diode = scaler1.channels.chan04.s"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can supply the count time per point and scan range parameters as arguments to\n",
+    "the setup.  After setting the counting time for the scaler, the next step in the\n",
+    "setup is to clear any existing configuration of `scan1` using its `reset()`\n",
+    "method.  In a bluesky plan, we'll need to use\n",
+    "`apstools.plans.run_blocking_function` with that `reset()` method.  Finally,\n",
+    "we'll setup `scan1` with the EPICS PV names to be used."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from apstools.plans import run_blocking_function\n",
+    "\n",
+    "def setup_scan1(start, finish, npts, ct=1):\n",
+    "    yield from bps.mv(scaler1.preset_time, ct)  # counting time/point\n",
+    "    yield from run_blocking_function(scan1.reset)\n",
+    "    yield from bps.sleep(0.2)  # arbitrary wait for EPICS record processing\n",
+    "\n",
+    "    # positioners\n",
+    "    yield from bps.mv(\n",
+    "        scan1.number_points, npts,\n",
+    "        scan1.positioners.p1.start, start,\n",
+    "        scan1.positioners.p1.end, finish,\n",
+    "        scan1.positioners.p1.readback_pv, m1.user_readback.pvname,\n",
+    "        scan1.positioners.p1.setpoint_pv, m1.user_setpoint.pvname,\n",
+    "    )\n",
+    "    # triggers (push scaler count button at each point)\n",
+    "    yield from bps.mv(\n",
+    "        scan1.triggers.t1.trigger_pv, scaler1.count.pvname,\n",
+    "    )\n",
+    "    # detectors\n",
+    "    yield from bps.mv(\n",
+    "        scan1.detectors.d01.input_pv, I0.pvname,\n",
+    "        scan1.detectors.d02.input_pv, diode.pvname,\n",
+    "    )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Setup the scan."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "()"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "RE(setup_scan1(-1.1, 1.1, 11, 0.2))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Run the scan.  We should not have to reprogram this plan."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "()"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "RE(run_sscan())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Get the scan data.  Same function as before.  It's not a bluesky plan, so `RE()`\n",
+    "is not needed."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'m1': array([-1.1 , -0.88, -0.66, -0.44, -0.22,  0.  ,  0.22,  0.44,  0.66,\n",
+       "         0.88,  1.1 ]),\n",
+       " 'I0': array([1., 0., 2., 2., 1., 2., 2., 2., 1., 1., 2.], dtype=float32),\n",
+       " 'diode': array([1., 2., 1., 1., 2., 3., 2., 1., 2., 1., 1.], dtype=float32)}"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "get_sscan_data()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Post data to bluesky as a run\n",
+    "\n",
+    "So far, we have just run `scan1` and shown the data collected.  We'll need to do\n",
+    "a bit more work to get this data into bluesky as a run.  While we might just use\n",
+    "`bps.read(scan1)` to get the data, the data would be named according to the\n",
+    "`scan1` structure.  We want more meaningful names so we re-assign the names of\n",
+    "the original objects (motor and scaler channel names).  To post *bluesky data*,\n",
+    "it must come from an ophyd `Device` (subclass).  We'll create a custom one just\n",
+    "for our setup of `scan1`, then `bps.mv()` each of the arrays.  Since we do not\n",
+    "have timestamps for each of the data points, we'll post the entire array as a\n",
+    "single event.  The event will have the timestamp from the `bps.mv()` plan stub.\n",
+    "\n",
+    "The last five steps are all descriptive.  The run is opened, the `primary`\n",
+    "stream is written with the `scan_data`, then all is buttoned up and bluesky\n",
+    "finished the run.  We define `name=\"scan1\"` so the names of the data in the databroker will match their usage here.  The `scan_data` object is only a tool to get the data from the `sscan` record into the databroker."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from ophyd import Component, Device, Signal\n",
+    "\n",
+    "class ThisSscanData(Device):\n",
+    "    m1 = Component(Signal)\n",
+    "    I0 = Component(Signal)\n",
+    "    diode = Component(Signal)\n",
+    "\n",
+    "scan_data = ThisSscanData(\"\", name=\"scan1\")\n",
+    "\n",
+    "def post_sscan_data(md={}):\n",
+    "    data = get_sscan_data()\n",
+    "    yield from bps.mv(\n",
+    "        scan_data.m1, data[\"m1\"],\n",
+    "        scan_data.I0, data[\"I0\"],\n",
+    "        scan_data.diode, data[\"diode\"],\n",
+    "    )\n",
+    "    yield from bps.open_run(md)\n",
+    "    yield from bps.create(name=\"primary\")\n",
+    "    yield from bps.read(scan_data)\n",
+    "    yield from bps.save()\n",
+    "    yield from bps.close_run()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now we need a databroker catalog.  Make a temporary one for this notebook."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import databroker\n",
+    "\n",
+    "cat = databroker.temp().v2\n",
+    "RE.subscribe(cat.v1.insert)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Post the data from the recent scan as a new bluesky run.\n",
+    "\n",
+    "Note: A bluesky plan can generate zero or more runs, each indexed by a `uid`.\n",
+    "Print the tuple of run uids returned from `RE()`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "('3e1451b1-255e-49ee-9a76-48f6f9708615',)"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "uids = RE(post_sscan_data())\n",
+    "uids"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Get the run entry (by uid) from the catalog."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "BlueskyRun\n",
+       "  uid='3e1451b1-255e-49ee-9a76-48f6f9708615'\n",
+       "  exit_status='success'\n",
+       "  2024-03-17 09:59:56.147 -- 2024-03-17 09:59:56.151\n",
+       "  Streams:\n",
+       "    * primary\n"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "run = cat[uids[0]]\n",
+    "run"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Show the data arrays from the run's primary stream. The data are returned as a\n",
+    "single xarray [Dataset](https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
+       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
+       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
+       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
+       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+       "  --xr-background-color: var(--jp-layout-color0, white);\n",
+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=dark],\n",
+       "body[data-theme=dark],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+       "  --xr-border-color: #1F1F1F;\n",
+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:      (time: 1, dim_0: 11, dim_1: 11, dim_2: 11)\n",
+       "Coordinates:\n",
+       "  * time         (time) float64 1.711e+09\n",
+       "Dimensions without coordinates: dim_0, dim_1, dim_2\n",
+       "Data variables:\n",
+       "    scan1_m1     (time, dim_0) float64 -1.1 -0.88 -0.66 -0.44 ... 0.66 0.88 1.1\n",
+       "    scan1_I0     (time, dim_1) float32 1.0 0.0 2.0 2.0 1.0 ... 2.0 1.0 1.0 2.0\n",
+       "    scan1_diode  (time, dim_2) float32 1.0 2.0 1.0 1.0 2.0 ... 1.0 2.0 1.0 1.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9c22a0ac-e46f-4a17-899e-302bcf6eec25' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9c22a0ac-e46f-4a17-899e-302bcf6eec25' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span>dim_0</span>: 11</li><li><span>dim_1</span>: 11</li><li><span>dim_2</span>: 11</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-be23f55f-21b2-4d51-acee-3d93c8cf9cfb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-be23f55f-21b2-4d51-acee-3d93c8cf9cfb' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.711e+09</div><input id='attrs-f8908e22-f648-4627-8b3a-620b7beb7647' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f8908e22-f648-4627-8b3a-620b7beb7647' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3bf2433a-776f-4883-9568-ae3c65425d56' class='xr-var-data-in' type='checkbox'><label for='data-3bf2433a-776f-4883-9568-ae3c65425d56' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1.710688e+09])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1b2c196e-c4c6-4b84-9db1-29e8d42c1a1e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1b2c196e-c4c6-4b84-9db1-29e8d42c1a1e' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>scan1_m1</span></div><div class='xr-var-dims'>(time, dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.1 -0.88 -0.66 ... 0.66 0.88 1.1</div><input id='attrs-ab2bc184-2c46-4c71-9397-4e2bfa10b982' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab2bc184-2c46-4c71-9397-4e2bfa10b982' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4df8f8a8-0ef7-4964-a4d1-71c76988079a' class='xr-var-data-in' type='checkbox'><label for='data-4df8f8a8-0ef7-4964-a4d1-71c76988079a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>object :</span></dt><dd>scan1</dd></dl></div><div class='xr-var-data'><pre>array([[-1.1 , -0.88, -0.66, -0.44, -0.22,  0.  ,  0.22,  0.44,  0.66,\n",
+       "         0.88,  1.1 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>scan1_I0</span></div><div class='xr-var-dims'>(time, dim_1)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.0 0.0 2.0 2.0 ... 2.0 1.0 1.0 2.0</div><input id='attrs-c6d54a32-da89-4eb2-807a-f54c102c2c3c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6d54a32-da89-4eb2-807a-f54c102c2c3c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33b616cf-6eeb-4865-b576-b73e526ca9fe' class='xr-var-data-in' type='checkbox'><label for='data-33b616cf-6eeb-4865-b576-b73e526ca9fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>object :</span></dt><dd>scan1</dd></dl></div><div class='xr-var-data'><pre>array([[1., 0., 2., 2., 1., 2., 2., 2., 1., 1., 2.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>scan1_diode</span></div><div class='xr-var-dims'>(time, dim_2)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.0 2.0 1.0 1.0 ... 1.0 2.0 1.0 1.0</div><input id='attrs-2cf46330-3889-46c3-89db-6c5246bf03c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2cf46330-3889-46c3-89db-6c5246bf03c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a211d47b-f8ae-48ed-9b25-e6e2f32c1bef' class='xr-var-data-in' type='checkbox'><label for='data-a211d47b-f8ae-48ed-9b25-e6e2f32c1bef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>object :</span></dt><dd>scan1</dd></dl></div><div class='xr-var-data'><pre>array([[1., 2., 1., 1., 2., 3., 2., 1., 2., 1., 1.]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7cf7ed23-7d57-4368-a92c-7358fed695c5' class='xr-section-summary-in' type='checkbox'  ><label for='section-7cf7ed23-7d57-4368-a92c-7358fed695c5' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c7e8fede-a95b-42b9-be19-363ffcde2ba9' class='xr-index-data-in' type='checkbox'/><label for='index-c7e8fede-a95b-42b9-be19-363ffcde2ba9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1710687596.1511433], dtype=&#x27;float64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5102c7ce-b86d-4f29-9a0c-14f3b6315a3a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5102c7ce-b86d-4f29-9a0c-14f3b6315a3a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:      (time: 1, dim_0: 11, dim_1: 11, dim_2: 11)\n",
+       "Coordinates:\n",
+       "  * time         (time) float64 1.711e+09\n",
+       "Dimensions without coordinates: dim_0, dim_1, dim_2\n",
+       "Data variables:\n",
+       "    scan1_m1     (time, dim_0) float64 -1.1 -0.88 -0.66 -0.44 ... 0.66 0.88 1.1\n",
+       "    scan1_I0     (time, dim_1) float32 1.0 0.0 2.0 2.0 1.0 ... 2.0 1.0 1.0 2.0\n",
+       "    scan1_diode  (time, dim_2) float32 1.0 2.0 1.0 1.0 2.0 ... 1.0 2.0 1.0 1.0"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "run.primary.read()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Combined setup, scan, post data\n",
+    "\n",
+    "Instead of calling the `RE()` separately with each of these plans, combine them\n",
+    "into an outer plan."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def combined(start, finish, npts, ct=1, md={}):\n",
+    "    yield from setup_scan1(start, finish, npts, ct=ct)\n",
+    "    yield from run_sscan()\n",
+    "    yield from post_sscan_data(md)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Run the combined plan and retrieve the data from the databroker catalog."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
+       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
+       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
+       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
+       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+       "  --xr-background-color: var(--jp-layout-color0, white);\n",
+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=dark],\n",
+       "body[data-theme=dark],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+       "  --xr-border-color: #1F1F1F;\n",
+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:      (time: 1, dim_0: 21, dim_1: 21, dim_2: 21)\n",
+       "Coordinates:\n",
+       "  * time         (time) float64 1.711e+09\n",
+       "Dimensions without coordinates: dim_0, dim_1, dim_2\n",
+       "Data variables:\n",
+       "    scan1_m1     (time, dim_0) float64 -1.2 -1.08 -0.96 -0.84 ... 0.96 1.08 1.2\n",
+       "    scan1_I0     (time, dim_1) float32 0.0 2.0 2.0 0.0 2.0 ... 1.0 0.0 1.0 1.0\n",
+       "    scan1_diode  (time, dim_2) float32 1.0 0.0 2.0 2.0 1.0 ... 0.0 0.0 0.0 1.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2cf63ec8-b7d3-4e2d-8709-b28876e63cfb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2cf63ec8-b7d3-4e2d-8709-b28876e63cfb' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span>dim_0</span>: 21</li><li><span>dim_1</span>: 21</li><li><span>dim_2</span>: 21</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5c120b40-5d72-4a4a-8cef-5dad2dba00b6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5c120b40-5d72-4a4a-8cef-5dad2dba00b6' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.711e+09</div><input id='attrs-3cf01a1c-6de6-48c5-96e1-048e27b4fc8c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3cf01a1c-6de6-48c5-96e1-048e27b4fc8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d46b75ec-43e2-45b0-979f-8dc7bca73d73' class='xr-var-data-in' type='checkbox'><label for='data-d46b75ec-43e2-45b0-979f-8dc7bca73d73' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1.710688e+09])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2de88a68-0c2d-42d3-983e-b6ce2e009453' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2de88a68-0c2d-42d3-983e-b6ce2e009453' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>scan1_m1</span></div><div class='xr-var-dims'>(time, dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.2 -1.08 -0.96 ... 0.96 1.08 1.2</div><input id='attrs-4fdfadbf-fc33-4801-99b5-f65a5e0658d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fdfadbf-fc33-4801-99b5-f65a5e0658d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cc86710-e5a0-420d-8d69-f897d069ffea' class='xr-var-data-in' type='checkbox'><label for='data-5cc86710-e5a0-420d-8d69-f897d069ffea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>object :</span></dt><dd>scan1</dd></dl></div><div class='xr-var-data'><pre>array([[-1.2 , -1.08, -0.96, -0.84, -0.72, -0.6 , -0.48, -0.36, -0.24,\n",
+       "        -0.12,  0.  ,  0.12,  0.24,  0.36,  0.48,  0.6 ,  0.72,  0.84,\n",
+       "         0.96,  1.08,  1.2 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>scan1_I0</span></div><div class='xr-var-dims'>(time, dim_1)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 2.0 0.0 ... 1.0 0.0 1.0 1.0</div><input id='attrs-0d72df2e-6b89-4b1b-8a01-b4f4330aafb7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d72df2e-6b89-4b1b-8a01-b4f4330aafb7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b85e20e8-ba42-421d-a1b1-83953472e688' class='xr-var-data-in' type='checkbox'><label for='data-b85e20e8-ba42-421d-a1b1-83953472e688' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>object :</span></dt><dd>scan1</dd></dl></div><div class='xr-var-data'><pre>array([[0., 2., 2., 0., 2., 1., 2., 1., 2., 2., 4., 4., 2., 2., 0., 1.,\n",
+       "        1., 1., 0., 1., 1.]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>scan1_diode</span></div><div class='xr-var-dims'>(time, dim_2)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.0 0.0 2.0 2.0 ... 0.0 0.0 0.0 1.0</div><input id='attrs-9706d9d1-57be-4389-b78f-035b0f84c5ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9706d9d1-57be-4389-b78f-035b0f84c5ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87683ccc-0c52-4c44-bf78-93c02e2bcfad' class='xr-var-data-in' type='checkbox'><label for='data-87683ccc-0c52-4c44-bf78-93c02e2bcfad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>object :</span></dt><dd>scan1</dd></dl></div><div class='xr-var-data'><pre>array([[1., 0., 2., 2., 1., 1., 1., 1., 1., 2., 5., 4., 3., 2., 1., 1.,\n",
+       "        1., 0., 0., 0., 1.]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a3c3c39f-ad18-40e1-af6f-30d6fc9d2eaf' class='xr-section-summary-in' type='checkbox'  ><label for='section-a3c3c39f-ad18-40e1-af6f-30d6fc9d2eaf' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-49aaaddd-0a84-46c9-bdd7-6959eea39967' class='xr-index-data-in' type='checkbox'/><label for='index-49aaaddd-0a84-46c9-bdd7-6959eea39967' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1710687613.6172383], dtype=&#x27;float64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fc8bdba8-b508-48ed-a85d-ad54ec2715ba' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fc8bdba8-b508-48ed-a85d-ad54ec2715ba' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:      (time: 1, dim_0: 21, dim_1: 21, dim_2: 21)\n",
+       "Coordinates:\n",
+       "  * time         (time) float64 1.711e+09\n",
+       "Dimensions without coordinates: dim_0, dim_1, dim_2\n",
+       "Data variables:\n",
+       "    scan1_m1     (time, dim_0) float64 -1.2 -1.08 -0.96 -0.84 ... 0.96 1.08 1.2\n",
+       "    scan1_I0     (time, dim_1) float32 0.0 2.0 2.0 0.0 2.0 ... 1.0 0.0 1.0 1.0\n",
+       "    scan1_diode  (time, dim_2) float32 1.0 0.0 2.0 2.0 1.0 ... 0.0 0.0 0.0 1.0"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "uids = RE(combined(-1.2, 1.2, 21, ct=.2))\n",
+    "cat[uids[0]].primary.read()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "bluesky_2024_1",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/docs/source/examples/scaler16.png b/docs/source/examples/scaler16.png
new file mode 100644
index 000000000..ce3bf9194
Binary files /dev/null and b/docs/source/examples/scaler16.png differ
diff --git a/docs/source/examples/sscan-scaler-v-motor.png b/docs/source/examples/sscan-scaler-v-motor.png
new file mode 100644
index 000000000..fb9b5723c
Binary files /dev/null and b/docs/source/examples/sscan-scaler-v-motor.png differ