4. Image Processing.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Copyright (C) 2022 Glencoe Software, Inc. All Rights Reserved.\n",
    "\n",
    "This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.\n",
    "\n",
    "This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.\n",
    "\n",
    "You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Image Processing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Connect to OMERO server\n",
    "* List ROIs attached to the image\n",
    "* Read pixels confined by `Analyze it!` ROI\n",
    "* Find objects in the image\n",
    "* Describe objects\n",
    "* Create and upload OMERO ROIs\n",
    "* Create and upload key-value pairs describing each ROI"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Connect to the OMERO server"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import matplotlib\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.patches as mpatches\n",
    "\n",
    "matplotlib.rcParams['figure.figsize'] = (12.0, 8.0)\n",
    "\n",
    "from IPython.display import display, HTML"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import gs_analytics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from getpass import getpass\n",
    "conn = gs_analytics.connect_to_omero(\n",
    "    input(\"Username: \"), getpass(\"OMERO Password: \"), input(\"Host: \"), int(input(\"Port: \")))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get list of ROIs and filter by name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Image Id: 159804\n",
      "ROI name: Analyse it!\n",
      "Found  2  ROIs\n",
      "Found a name match for ROI id:  419013\n"
     ]
    }
   ],
   "source": [
    "image_id = input(\"Image Id: \")\n",
    "\n",
    "roi_service = conn.getRoiService()\n",
    "rois = roi_service.findByImage(int(image_id), None).rois\n",
    "\n",
    "roi_name = input(\"ROI name: \")\n",
    "print(f\"Found {len(rois)} ROIs\")\n",
    "result = None\n",
    "for roi in rois:\n",
    "    if roi.getName() is None:\n",
    "        continue\n",
    "    if roi.getName().getValue().lower() == roi_name.lower():\n",
    "        result = roi\n",
    "        print(f\"Found a name match for ROI id: {roi.id.val}\")\n",
    "        break"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Read pixels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Processing channel: DNA1\n",
      "Reading tile: (724, 223, 1008, 841)\n"
     ]
    },
    {
     "data": {
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But how to set the MIME type?  It doesn't seem\n             * to be part of the websocket stream */\n            evt.data.type = \"image/png\";\n\n            /* Free the memory for the previous frames */\n            if (fig.imageObj.src) {\n                (window.URL || window.webkitURL).revokeObjectURL(\n                    fig.imageObj.src);\n            }\n\n            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n                evt.data);\n            fig.updated_canvas_event();\n            fig.waiting = false;\n            return;\n        }\n        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n            fig.imageObj.src = evt.data;\n            fig.updated_canvas_event();\n            fig.waiting = false;\n            return;\n        }\n\n        var msg = JSON.parse(evt.data);\n        var msg_type = msg['type'];\n\n        // Call the  \"handle_{type}\" callback, which takes\n        // the figure and JSON message as its only arguments.\n        try {\n            var callback = fig[\"handle_\" + msg_type];\n        } catch (e) {\n            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n            return;\n        }\n\n        if (callback) {\n            try {\n                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n                callback(fig, msg);\n            } catch (e) {\n                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n            }\n        }\n    };\n}\n\n// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\nmpl.findpos = function(e) {\n    //this section is from http://www.quirksmode.org/js/events_properties.html\n    var targ;\n    if (!e)\n        e = window.event;\n    if (e.target)\n        targ = e.target;\n    else if (e.srcElement)\n        targ = e.srcElement;\n    if (targ.nodeType == 3) // defeat Safari bug\n        targ = targ.parentNode;\n\n    // jQuery normalizes the pageX and pageY\n    // pageX,Y are the mouse positions relative to the document\n    // offset() returns the position of the element relative to the document\n    var x = e.pageX - $(targ).offset().left;\n    var y = e.pageY - $(targ).offset().top;\n\n    return {\"x\": x, \"y\": y};\n};\n\n/*\n * return a copy of an object with only non-object keys\n * we need this to avoid circular references\n * http://stackoverflow.com/a/24161582/3208463\n */\nfunction simpleKeys (original) {\n  return Object.keys(original).reduce(function (obj, key) {\n    if (typeof original[key] !== 'object')\n        obj[key] = original[key]\n    return obj;\n  }, {});\n}\n\nmpl.figure.prototype.mouse_event = function(event, name) {\n    var canvas_pos = mpl.findpos(event)\n\n    if (name === 'button_press')\n    {\n        this.canvas.focus();\n        this.canvas_div.focus();\n    }\n\n    var x = canvas_pos.x;\n    var y = canvas_pos.y;\n\n    this.send_message(name, {x: x, y: y, button: event.button,\n                             step: event.step,\n                             guiEvent: simpleKeys(event)});\n\n    /* This prevents the web browser from automatically changing to\n     * the text insertion cursor when the button is pressed.  We want\n     * to control all of the cursor setting manually through the\n     * 'cursor' event from matplotlib */\n    event.preventDefault();\n    return false;\n}\n\nmpl.figure.prototype._key_event_extra = function(event, name) {\n    // Handle any extra behaviour associated with a key event\n}\n\nmpl.figure.prototype.key_event = function(event, name) {\n\n    // Prevent repeat events\n    if (name == 'key_press')\n    {\n        if (event.which === this._key)\n            return;\n        else\n            this._key = event.which;\n    }\n    if (name == 'key_release')\n        this._key = null;\n\n    var value = '';\n    if (event.ctrlKey && event.which != 17)\n        value += \"ctrl+\";\n    if (event.altKey && event.which != 18)\n        value += \"alt+\";\n    if (event.shiftKey && event.which != 16)\n        value += \"shift+\";\n\n    value += 'k';\n    value += event.which.toString();\n\n    this._key_event_extra(event, name);\n\n    this.send_message(name, {key: value,\n                             guiEvent: simpleKeys(event)});\n    return false;\n}\n\nmpl.figure.prototype.toolbar_button_onclick = function(name) {\n    if (name == 'download') {\n        this.handle_save(this, null);\n    } else {\n        this.send_message(\"toolbar_button\", {name: name});\n    }\n};\n\nmpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n    this.message.textContent = tooltip;\n};\nmpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n\nmpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n\nmpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n    // Create a \"websocket\"-like object which calls the given IPython comm\n    // object with the appropriate methods. Currently this is a non binary\n    // socket, so there is still some room for performance tuning.\n    var ws = {};\n\n    ws.close = function() {\n        comm.close()\n    };\n    ws.send = function(m) {\n        //console.log('sending', m);\n        comm.send(m);\n    };\n    // Register the callback with on_msg.\n    comm.on_msg(function(msg) {\n        //console.log('receiving', msg['content']['data'], msg);\n        // Pass the mpl event to the overriden (by mpl) onmessage function.\n        ws.onmessage(msg['content']['data'])\n    });\n    return ws;\n}\n\nmpl.mpl_figure_comm = function(comm, msg) {\n    // This is the function which gets called when the mpl process\n    // starts-up an IPython Comm through the \"matplotlib\" channel.\n\n    var id = msg.content.data.id;\n    // Get hold of the div created by the display call when the Comm\n    // socket was opened in Python.\n    var element = $(\"#\" + id);\n    var ws_proxy = comm_websocket_adapter(comm)\n\n    function ondownload(figure, format) {\n        window.open(figure.imageObj.src);\n    }\n\n    var fig = new mpl.figure(id, ws_proxy,\n                           ondownload,\n                           element.get(0));\n\n    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n    // web socket which is closed, not our websocket->open comm proxy.\n    ws_proxy.onopen();\n\n    fig.parent_element = element.get(0);\n    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n    if (!fig.cell_info) {\n        console.error(\"Failed to find cell for figure\", id, fig);\n        return;\n    }\n\n    var output_index = fig.cell_info[2]\n    var cell = fig.cell_info[0];\n\n};\n\nmpl.figure.prototype.handle_close = function(fig, msg) {\n    fig.root.unbind('remove')\n\n    // Update the output cell to use the data from the current canvas.\n    fig.push_to_output();\n    var dataURL = fig.canvas.toDataURL();\n    // Re-enable the keyboard manager in IPython - without this line, in FF,\n    // the notebook keyboard shortcuts fail.\n    IPython.keyboard_manager.enable()\n    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n    fig.close_ws(fig, msg);\n}\n\nmpl.figure.prototype.close_ws = function(fig, msg){\n    fig.send_message('closing', msg);\n    // fig.ws.close()\n}\n\nmpl.figure.prototype.push_to_output = function(remove_interactive) {\n    // Turn the data on the canvas into data in the output cell.\n    var dataURL = this.canvas.toDataURL();\n    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n}\n\nmpl.figure.prototype.updated_canvas_event = function() {\n    // Tell IPython that the notebook contents must change.\n    IPython.notebook.set_dirty(true);\n    this.send_message(\"ack\", {});\n    var fig = this;\n    // Wait a second, then push the new image to the DOM so\n    // that it is saved nicely (might be nice to debounce this).\n    setTimeout(function () { fig.push_to_output() }, 1000);\n}\n\nmpl.figure.prototype._init_toolbar = function() {\n    var fig = this;\n\n    var nav_element = $('<div/>')\n    nav_element.attr('style', 'width: 100%');\n    this.root.append(nav_element);\n\n    // Define a callback function for later on.\n    function toolbar_event(event) {\n        return fig.toolbar_button_onclick(event['data']);\n    }\n    function toolbar_mouse_event(event) {\n        return fig.toolbar_button_onmouseover(event['data']);\n    }\n\n    for(var toolbar_ind in mpl.toolbar_items){\n        var name = mpl.toolbar_items[toolbar_ind][0];\n        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n        var image = mpl.toolbar_items[toolbar_ind][2];\n        var method_name = mpl.toolbar_items[toolbar_ind][3];\n\n        if (!name) { continue; };\n\n        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n        button.click(method_name, toolbar_event);\n        button.mouseover(tooltip, toolbar_mouse_event);\n        nav_element.append(button);\n    }\n\n    // Add the status bar.\n    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n    nav_element.append(status_bar);\n    this.message = status_bar[0];\n\n    // Add the close button to the window.\n    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n    button.click(function (evt) { fig.handle_close(fig, {}); } );\n    button.mouseover('Stop Interaction', toolbar_mouse_event);\n    buttongrp.append(button);\n    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n    titlebar.prepend(buttongrp);\n}\n\nmpl.figure.prototype._root_extra_style = function(el){\n    var fig = this\n    el.on(\"remove\", function(){\n\tfig.close_ws(fig, {});\n    });\n}\n\nmpl.figure.prototype._canvas_extra_style = function(el){\n    // this is important to make the div 'focusable\n    el.attr('tabindex', 0)\n    // reach out to IPython and tell the keyboard manager to turn it's self\n    // off when our div gets focus\n\n    // location in version 3\n    if (IPython.notebook.keyboard_manager) {\n        IPython.notebook.keyboard_manager.register_events(el);\n    }\n    else {\n        // location in version 2\n        IPython.keyboard_manager.register_events(el);\n    }\n\n}\n\nmpl.figure.prototype._key_event_extra = function(event, name) {\n    var manager = IPython.notebook.keyboard_manager;\n    if (!manager)\n        manager = IPython.keyboard_manager;\n\n    // Check for shift+enter\n    if (event.shiftKey && event.which == 13) {\n        this.canvas_div.blur();\n        event.shiftKey = false;\n        // Send a \"J\" for go to next cell\n        event.which = 74;\n        event.keyCode = 74;\n        manager.command_mode();\n        manager.handle_keydown(event);\n    }\n}\n\nmpl.figure.prototype.handle_save = function(fig, msg) {\n    fig.ondownload(fig, null);\n}\n\n\nmpl.find_output_cell = function(html_output) {\n    // Return the cell and output element which can be found *uniquely* in the notebook.\n    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n    // IPython event is triggered only after the cells have been serialised, which for\n    // our purposes (turning an active figure into a static one), is too late.\n    var cells = IPython.notebook.get_cells();\n    var ncells = cells.length;\n    for (var i=0; i<ncells; i++) {\n        var cell = cells[i];\n        if (cell.cell_type === 'code'){\n            for (var j=0; j<cell.output_area.outputs.length; j++) {\n                var data = cell.output_area.outputs[j];\n                if (data.data) {\n                    // IPython >= 3 moved mimebundle to data attribute of output\n                    data = data.data;\n                }\n                if (data['text/html'] == html_output) {\n                    return [cell, data, j];\n                }\n            }\n        }\n    }\n}\n\n// Register the function which deals with the matplotlib target/channel.\n// The kernel may be null if the page has been refreshed.\nif (IPython.notebook.kernel != null) {\n    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n}\n",
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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pixels, channel_label = gs_analytics.get_image_by_roi(conn, image_id, result)\n",
    "imgplot = plt.imshow(pixels, cmap=plt.get_cmap('gray'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Preprocess pixels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from skimage.filters import threshold_otsu\n",
    "from skimage.segmentation import clear_border\n",
    "from skimage.measure import label, regionprops\n",
    "from skimage.morphology import closing, square\n",
    "from skimage.color import label2rgb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 33 objects\n"
     ]
    }
   ],
   "source": [
    "thresh = threshold_otsu(pixels)\n",
    "bw = closing(pixels > thresh, square(5))\n",
    "cleared = clear_border(bw)\n",
    "# imgplot2 = plt.imshow(bw, cmap=plt.get_cmap('gray'))\n",
    "# label image regions\n",
    "label_image = label(cleared)\n",
    "image_label_overlay = label2rgb(label_image, image=pixels)\n",
    "\n",
    "regions = regionprops(label_image)\n",
    "regions_filtered = []\n",
    "for region in regions:\n",
    "    if region.area >= 100:\n",
    "        regions_filtered.append(region)\n",
    "print(f\"Found {len(regions_filtered)} objects\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Show regions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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' +\n              'Firefox 4 and 5 are also supported but you ' +\n              'have to enable WebSockets in about:config.');\n    };\n}\n\nmpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n    this.id = figure_id;\n\n    this.ws = websocket;\n\n    this.supports_binary = (this.ws.binaryType != undefined);\n\n    if (!this.supports_binary) {\n        var warnings = document.getElementById(\"mpl-warnings\");\n        if (warnings) {\n            warnings.style.display = 'block';\n            warnings.textContent = (\n                \"This browser does not support binary websocket messages. \" +\n                    \"Performance may be slow.\");\n        }\n    }\n\n    this.imageObj = new Image();\n\n    this.context = undefined;\n    this.message = undefined;\n    this.canvas = undefined;\n    this.rubberband_canvas = undefined;\n    this.rubberband_context = undefined;\n    this.format_dropdown = undefined;\n\n    this.image_mode = 'full';\n\n    this.root = $('<div/>');\n    this._root_extra_style(this.root)\n    this.root.attr('style', 'display: inline-block');\n\n    $(parent_element).append(this.root);\n\n    this._init_header(this);\n    this._init_canvas(this);\n    this._init_toolbar(this);\n\n    var fig = this;\n\n    this.waiting = false;\n\n    this.ws.onopen =  function () {\n            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n            fig.send_message(\"send_image_mode\", {});\n            fig.send_message(\"refresh\", {});\n        }\n\n    this.imageObj.onload = function() {\n            if (fig.image_mode == 'full') {\n                // Full images could contain transparency (where diff images\n                // almost always do), so we need to clear the canvas so that\n                // there is no ghosting.\n                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n            }\n            fig.context.drawImage(fig.imageObj, 0, 0);\n        };\n\n    this.imageObj.onunload = function() {\n        this.ws.close();\n    }\n\n    this.ws.onmessage = this._make_on_message_function(this);\n\n    this.ondownload = ondownload;\n}\n\nmpl.figure.prototype._init_header = function() {\n    var titlebar = $(\n        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n        'ui-helper-clearfix\"/>');\n    var titletext = $(\n        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n        'text-align: center; padding: 3px;\"/>');\n    titlebar.append(titletext)\n    this.root.append(titlebar);\n    this.header = titletext[0];\n}\n\n\n\nmpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n\n}\n\n\nmpl.figure.prototype._root_extra_style = function(canvas_div) {\n\n}\n\nmpl.figure.prototype._init_canvas = function() {\n    var fig = this;\n\n    var canvas_div = $('<div/>');\n\n    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n\n    function canvas_keyboard_event(event) {\n        return fig.key_event(event, event['data']);\n    }\n\n    canvas_div.keydown('key_press', canvas_keyboard_event);\n    canvas_div.keyup('key_release', canvas_keyboard_event);\n    this.canvas_div = canvas_div\n    this._canvas_extra_style(canvas_div)\n    this.root.append(canvas_div);\n\n    var canvas = $('<canvas/>');\n    canvas.addClass('mpl-canvas');\n    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n\n    this.canvas = canvas[0];\n    this.context = canvas[0].getContext(\"2d\");\n\n    var rubberband = $('<canvas/>');\n    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n\n    var pass_mouse_events = true;\n\n    canvas_div.resizable({\n        start: function(event, ui) {\n            pass_mouse_events = false;\n        },\n        resize: function(event, ui) {\n            fig.request_resize(ui.size.width, ui.size.height);\n        },\n        stop: function(event, ui) {\n            pass_mouse_events = true;\n            fig.request_resize(ui.size.width, ui.size.height);\n        },\n    });\n\n    function mouse_event_fn(event) {\n        if (pass_mouse_events)\n            return fig.mouse_event(event, event['data']);\n    }\n\n    rubberband.mousedown('button_press', mouse_event_fn);\n    rubberband.mouseup('button_release', mouse_event_fn);\n    // Throttle sequential mouse events to 1 every 20ms.\n    rubberband.mousemove('motion_notify', mouse_event_fn);\n\n    rubberband.mouseenter('figure_enter', mouse_event_fn);\n    rubberband.mouseleave('figure_leave', mouse_event_fn);\n\n    canvas_div.on(\"wheel\", function (event) {\n        event = event.originalEvent;\n        event['data'] = 'scroll'\n        if (event.deltaY < 0) {\n            event.step = 1;\n        } else {\n            event.step = -1;\n        }\n        mouse_event_fn(event);\n    });\n\n    canvas_div.append(canvas);\n    canvas_div.append(rubberband);\n\n    this.rubberband = rubberband;\n    this.rubberband_canvas = rubberband[0];\n    this.rubberband_context = rubberband[0].getContext(\"2d\");\n    this.rubberband_context.strokeStyle = \"#000000\";\n\n    this._resize_canvas = function(width, height) {\n        // Keep the size of the canvas, canvas container, and rubber band\n        // canvas in synch.\n        canvas_div.css('width', width)\n        canvas_div.css('height', height)\n\n        canvas.attr('width', width);\n        canvas.attr('height', height);\n\n        rubberband.attr('width', width);\n        rubberband.attr('height', height);\n    }\n\n    // Set the figure to an initial 600x600px, this will subsequently be updated\n    // upon first draw.\n    this._resize_canvas(600, 600);\n\n    // Disable right mouse context menu.\n    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n        return false;\n    });\n\n    function set_focus () {\n        canvas.focus();\n        canvas_div.focus();\n    }\n\n    window.setTimeout(set_focus, 100);\n}\n\nmpl.figure.prototype._init_toolbar = function() {\n    var fig = this;\n\n    var nav_element = $('<div/>')\n    nav_element.attr('style', 'width: 100%');\n    this.root.append(nav_element);\n\n    // Define a callback function for later on.\n    function toolbar_event(event) {\n        return fig.toolbar_button_onclick(event['data']);\n    }\n    function toolbar_mouse_event(event) {\n        return fig.toolbar_button_onmouseover(event['data']);\n    }\n\n    for(var toolbar_ind in mpl.toolbar_items) {\n        var name = mpl.toolbar_items[toolbar_ind][0];\n        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n        var image = mpl.toolbar_items[toolbar_ind][2];\n        var method_name = mpl.toolbar_items[toolbar_ind][3];\n\n        if (!name) {\n            // put a spacer in here.\n            continue;\n        }\n        var button = $('<button/>');\n        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n                        'ui-button-icon-only');\n        button.attr('role', 'button');\n        button.attr('aria-disabled', 'false');\n        button.click(method_name, toolbar_event);\n        button.mouseover(tooltip, toolbar_mouse_event);\n\n        var icon_img = $('<span/>');\n        icon_img.addClass('ui-button-icon-primary ui-icon');\n        icon_img.addClass(image);\n        icon_img.addClass('ui-corner-all');\n\n        var tooltip_span = $('<span/>');\n        tooltip_span.addClass('ui-button-text');\n        tooltip_span.html(tooltip);\n\n        button.append(icon_img);\n        button.append(tooltip_span);\n\n        nav_element.append(button);\n    }\n\n    var fmt_picker_span = $('<span/>');\n\n    var fmt_picker = $('<select/>');\n    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n    fmt_picker_span.append(fmt_picker);\n    nav_element.append(fmt_picker_span);\n    this.format_dropdown = fmt_picker[0];\n\n    for (var ind in mpl.extensions) {\n        var fmt = mpl.extensions[ind];\n        var option = $(\n            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n        fmt_picker.append(option)\n    }\n\n    // Add hover states to the ui-buttons\n    $( \".ui-button\" ).hover(\n        function() { $(this).addClass(\"ui-state-hover\");},\n        function() { $(this).removeClass(\"ui-state-hover\");}\n    );\n\n    var status_bar = $('<span class=\"mpl-message\"/>');\n    nav_element.append(status_bar);\n    this.message = status_bar[0];\n}\n\nmpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n    // which will in turn request a refresh of the image.\n    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n}\n\nmpl.figure.prototype.send_message = function(type, properties) {\n    properties['type'] = type;\n    properties['figure_id'] = this.id;\n    this.ws.send(JSON.stringify(properties));\n}\n\nmpl.figure.prototype.send_draw_message = function() {\n    if (!this.waiting) {\n        this.waiting = true;\n        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n    }\n}\n\n\nmpl.figure.prototype.handle_save = function(fig, msg) {\n    var format_dropdown = fig.format_dropdown;\n    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n    fig.ondownload(fig, format);\n}\n\n\nmpl.figure.prototype.handle_resize = function(fig, msg) {\n    var size = msg['size'];\n    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n        fig._resize_canvas(size[0], size[1]);\n        fig.send_message(\"refresh\", {});\n    };\n}\n\nmpl.figure.prototype.handle_rubberband = function(fig, msg) {\n    var x0 = msg['x0'];\n    var y0 = fig.canvas.height - msg['y0'];\n    var x1 = msg['x1'];\n    var y1 = fig.canvas.height - msg['y1'];\n    x0 = Math.floor(x0) + 0.5;\n    y0 = Math.floor(y0) + 0.5;\n    x1 = Math.floor(x1) + 0.5;\n    y1 = Math.floor(y1) + 0.5;\n    var min_x = Math.min(x0, x1);\n    var min_y = Math.min(y0, y1);\n    var width = Math.abs(x1 - x0);\n    var height = Math.abs(y1 - y0);\n\n    fig.rubberband_context.clearRect(\n        0, 0, fig.canvas.width, fig.canvas.height);\n\n    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n}\n\nmpl.figure.prototype.handle_figure_label = function(fig, msg) {\n    // Updates the figure title.\n    fig.header.textContent = msg['label'];\n}\n\nmpl.figure.prototype.handle_cursor = function(fig, msg) {\n    var cursor = msg['cursor'];\n    switch(cursor)\n    {\n    case 0:\n        cursor = 'pointer';\n        break;\n    case 1:\n        cursor = 'default';\n        break;\n    case 2:\n        cursor = 'crosshair';\n        break;\n    case 3:\n        cursor = 'move';\n        break;\n    }\n    fig.rubberband_canvas.style.cursor = cursor;\n}\n\nmpl.figure.prototype.handle_message = function(fig, msg) {\n    fig.message.textContent = msg['message'];\n}\n\nmpl.figure.prototype.handle_draw = function(fig, msg) {\n    // Request the server to send over a new figure.\n    fig.send_draw_message();\n}\n\nmpl.figure.prototype.handle_image_mode = function(fig, msg) {\n    fig.image_mode = msg['mode'];\n}\n\nmpl.figure.prototype.updated_canvas_event = function() {\n    // Called whenever the canvas gets updated.\n    this.send_message(\"ack\", {});\n}\n\n// A function to construct a web socket function for onmessage handling.\n// Called in the figure constructor.\nmpl.figure.prototype._make_on_message_function = function(fig) {\n    return function socket_on_message(evt) {\n        if (evt.data instanceof Blob) {\n            /* FIXME: We get \"Resource interpreted as Image but\n             * transferred with MIME type text/plain:\" errors on\n             * Chrome.  But how to set the MIME type?  It doesn't seem\n             * to be part of the websocket stream */\n            evt.data.type = \"image/png\";\n\n            /* Free the memory for the previous frames */\n            if (fig.imageObj.src) {\n                (window.URL || window.webkitURL).revokeObjectURL(\n                    fig.imageObj.src);\n            }\n\n            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n                evt.data);\n            fig.updated_canvas_event();\n            fig.waiting = false;\n            return;\n        }\n        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n            fig.imageObj.src = evt.data;\n            fig.updated_canvas_event();\n            fig.waiting = false;\n            return;\n        }\n\n        var msg = JSON.parse(evt.data);\n        var msg_type = msg['type'];\n\n        // Call the  \"handle_{type}\" callback, which takes\n        // the figure and JSON message as its only arguments.\n        try {\n            var callback = fig[\"handle_\" + msg_type];\n        } catch (e) {\n            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n            return;\n        }\n\n        if (callback) {\n            try {\n                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n                callback(fig, msg);\n            } catch (e) {\n                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n            }\n        }\n    };\n}\n\n// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\nmpl.findpos = function(e) {\n    //this section is from http://www.quirksmode.org/js/events_properties.html\n    var targ;\n    if (!e)\n        e = window.event;\n    if (e.target)\n        targ = e.target;\n    else if (e.srcElement)\n        targ = e.srcElement;\n    if (targ.nodeType == 3) // defeat Safari bug\n        targ = targ.parentNode;\n\n    // jQuery normalizes the pageX and pageY\n    // pageX,Y are the mouse positions relative to the document\n    // offset() returns the position of the element relative to the document\n    var x = e.pageX - $(targ).offset().left;\n    var y = e.pageY - $(targ).offset().top;\n\n    return {\"x\": x, \"y\": y};\n};\n\n/*\n * return a copy of an object with only non-object keys\n * we need this to avoid circular references\n * http://stackoverflow.com/a/24161582/3208463\n */\nfunction simpleKeys (original) {\n  return Object.keys(original).reduce(function (obj, key) {\n    if (typeof original[key] !== 'object')\n        obj[key] = original[key]\n    return obj;\n  }, {});\n}\n\nmpl.figure.prototype.mouse_event = function(event, name) {\n    var canvas_pos = mpl.findpos(event)\n\n    if (name === 'button_press')\n    {\n        this.canvas.focus();\n        this.canvas_div.focus();\n    }\n\n    var x = canvas_pos.x;\n    var y = canvas_pos.y;\n\n    this.send_message(name, {x: x, y: y, button: event.button,\n                             step: event.step,\n                             guiEvent: simpleKeys(event)});\n\n    /* This prevents the web browser from automatically changing to\n     * the text insertion cursor when the button is pressed.  We want\n     * to control all of the cursor setting manually through the\n     * 'cursor' event from matplotlib */\n    event.preventDefault();\n    return false;\n}\n\nmpl.figure.prototype._key_event_extra = function(event, name) {\n    // Handle any extra behaviour associated with a key event\n}\n\nmpl.figure.prototype.key_event = function(event, name) {\n\n    // Prevent repeat events\n    if (name == 'key_press')\n    {\n        if (event.which === this._key)\n            return;\n        else\n            this._key = event.which;\n    }\n    if (name == 'key_release')\n        this._key = null;\n\n    var value = '';\n    if (event.ctrlKey && event.which != 17)\n        value += \"ctrl+\";\n    if (event.altKey && event.which != 18)\n        value += \"alt+\";\n    if (event.shiftKey && event.which != 16)\n        value += \"shift+\";\n\n    value += 'k';\n    value += event.which.toString();\n\n    this._key_event_extra(event, name);\n\n    this.send_message(name, {key: value,\n                             guiEvent: simpleKeys(event)});\n    return false;\n}\n\nmpl.figure.prototype.toolbar_button_onclick = function(name) {\n    if (name == 'download') {\n        this.handle_save(this, null);\n    } else {\n        this.send_message(\"toolbar_button\", {name: name});\n    }\n};\n\nmpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n    this.message.textContent = tooltip;\n};\nmpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n\nmpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n\nmpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n    // Create a \"websocket\"-like object which calls the given IPython comm\n    // object with the appropriate methods. Currently this is a non binary\n    // socket, so there is still some room for performance tuning.\n    var ws = {};\n\n    ws.close = function() {\n        comm.close()\n    };\n    ws.send = function(m) {\n        //console.log('sending', m);\n        comm.send(m);\n    };\n    // Register the callback with on_msg.\n    comm.on_msg(function(msg) {\n        //console.log('receiving', msg['content']['data'], msg);\n        // Pass the mpl event to the overriden (by mpl) onmessage function.\n        ws.onmessage(msg['content']['data'])\n    });\n    return ws;\n}\n\nmpl.mpl_figure_comm = function(comm, msg) {\n    // This is the function which gets called when the mpl process\n    // starts-up an IPython Comm through the \"matplotlib\" channel.\n\n    var id = msg.content.data.id;\n    // Get hold of the div created by the display call when the Comm\n    // socket was opened in Python.\n    var element = $(\"#\" + id);\n    var ws_proxy = comm_websocket_adapter(comm)\n\n    function ondownload(figure, format) {\n        window.open(figure.imageObj.src);\n    }\n\n    var fig = new mpl.figure(id, ws_proxy,\n                           ondownload,\n                           element.get(0));\n\n    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n    // web socket which is closed, not our websocket->open comm proxy.\n    ws_proxy.onopen();\n\n    fig.parent_element = element.get(0);\n    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n    if (!fig.cell_info) {\n        console.error(\"Failed to find cell for figure\", id, fig);\n        return;\n    }\n\n    var output_index = fig.cell_info[2]\n    var cell = fig.cell_info[0];\n\n};\n\nmpl.figure.prototype.handle_close = function(fig, msg) {\n    fig.root.unbind('remove')\n\n    // Update the output cell to use the data from the current canvas.\n    fig.push_to_output();\n    var dataURL = fig.canvas.toDataURL();\n    // Re-enable the keyboard manager in IPython - without this line, in FF,\n    // the notebook keyboard shortcuts fail.\n    IPython.keyboard_manager.enable()\n    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n    fig.close_ws(fig, msg);\n}\n\nmpl.figure.prototype.close_ws = function(fig, msg){\n    fig.send_message('closing', msg);\n    // fig.ws.close()\n}\n\nmpl.figure.prototype.push_to_output = function(remove_interactive) {\n    // Turn the data on the canvas into data in the output cell.\n    var dataURL = this.canvas.toDataURL();\n    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n}\n\nmpl.figure.prototype.updated_canvas_event = function() {\n    // Tell IPython that the notebook contents must change.\n    IPython.notebook.set_dirty(true);\n    this.send_message(\"ack\", {});\n    var fig = this;\n    // Wait a second, then push the new image to the DOM so\n    // that it is saved nicely (might be nice to debounce this).\n    setTimeout(function () { fig.push_to_output() }, 1000);\n}\n\nmpl.figure.prototype._init_toolbar = function() {\n    var fig = this;\n\n    var nav_element = $('<div/>')\n    nav_element.attr('style', 'width: 100%');\n    this.root.append(nav_element);\n\n    // Define a callback function for later on.\n    function toolbar_event(event) {\n        return fig.toolbar_button_onclick(event['data']);\n    }\n    function toolbar_mouse_event(event) {\n        return fig.toolbar_button_onmouseover(event['data']);\n    }\n\n    for(var toolbar_ind in mpl.toolbar_items){\n        var name = mpl.toolbar_items[toolbar_ind][0];\n        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n        var image = mpl.toolbar_items[toolbar_ind][2];\n        var method_name = mpl.toolbar_items[toolbar_ind][3];\n\n        if (!name) { continue; };\n\n        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n        button.click(method_name, toolbar_event);\n        button.mouseover(tooltip, toolbar_mouse_event);\n        nav_element.append(button);\n    }\n\n    // Add the status bar.\n    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n    nav_element.append(status_bar);\n    this.message = status_bar[0];\n\n    // Add the close button to the window.\n    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n    button.click(function (evt) { fig.handle_close(fig, {}); } );\n    button.mouseover('Stop Interaction', toolbar_mouse_event);\n    buttongrp.append(button);\n    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n    titlebar.prepend(buttongrp);\n}\n\nmpl.figure.prototype._root_extra_style = function(el){\n    var fig = this\n    el.on(\"remove\", function(){\n\tfig.close_ws(fig, {});\n    });\n}\n\nmpl.figure.prototype._canvas_extra_style = function(el){\n    // this is important to make the div 'focusable\n    el.attr('tabindex', 0)\n    // reach out to IPython and tell the keyboard manager to turn it's self\n    // off when our div gets focus\n\n    // location in version 3\n    if (IPython.notebook.keyboard_manager) {\n        IPython.notebook.keyboard_manager.register_events(el);\n    }\n    else {\n        // location in version 2\n        IPython.keyboard_manager.register_events(el);\n    }\n\n}\n\nmpl.figure.prototype._key_event_extra = function(event, name) {\n    var manager = IPython.notebook.keyboard_manager;\n    if (!manager)\n        manager = IPython.keyboard_manager;\n\n    // Check for shift+enter\n    if (event.shiftKey && event.which == 13) {\n        this.canvas_div.blur();\n        event.shiftKey = false;\n        // Send a \"J\" for go to next cell\n        event.which = 74;\n        event.keyCode = 74;\n        manager.command_mode();\n        manager.handle_keydown(event);\n    }\n}\n\nmpl.figure.prototype.handle_save = function(fig, msg) {\n    fig.ondownload(fig, null);\n}\n\n\nmpl.find_output_cell = function(html_output) {\n    // Return the cell and output element which can be found *uniquely* in the notebook.\n    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n    // IPython event is triggered only after the cells have been serialised, which for\n    // our purposes (turning an active figure into a static one), is too late.\n    var cells = IPython.notebook.get_cells();\n    var ncells = cells.length;\n    for (var i=0; i<ncells; i++) {\n        var cell = cells[i];\n        if (cell.cell_type === 'code'){\n            for (var j=0; j<cell.output_area.outputs.length; j++) {\n                var data = cell.output_area.outputs[j];\n                if (data.data) {\n                    // IPython >= 3 moved mimebundle to data attribute of output\n                    data = data.data;\n                }\n                if (data['text/html'] == html_output) {\n                    return [cell, data, j];\n                }\n            }\n        }\n    }\n}\n\n// Register the function which deals with the matplotlib target/channel.\n// The kernel may be null if the page has been refreshed.\nif (IPython.notebook.kernel != null) {\n    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n}\n",
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "ax.imshow(pixels, cmap=plt.get_cmap('gray'))\n",
    "for region in regions_filtered:\n",
    "    # draw rectangle around segmented coins\n",
    "    minr, minc, maxr, maxc = region.bbox\n",
    "    rect = mpatches.Rectangle((minc, minr), maxc - minc, maxr - minr,\n",
    "                               fill=False, edgecolor='red', linewidth=2)\n",
    "    ax.add_patch(rect)\n",
    "ax.set_axis_off()\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Convert regions to ROIs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved  33  ROIs\n"
     ]
    }
   ],
   "source": [
    "xShift = result.getShape(0).getX().getValue();\n",
    "yShift = result.getShape(0).getY().getValue();\n",
    "rois = gs_analytics.write_objects_to_rois(\n",
    "    conn, image_id, regions_filtered,\n",
    "    channel_label, xShift, yShift)\n",
    "print(f\"Saved {len(rois)} ROIs\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add regions properties to ROIs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved  33  key-value pairs\n"
     ]
    }
   ],
   "source": [
    "links = gs_analytics.save_map_annotations(conn, rois, regions_filtered)\n",
    "print(f\"Saved {len(links)} key-value pairs\")    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Summarise regions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Computing average values for 33 regions\n",
      "Attaching summary to ROI 419013\n",
      "Summary saved\n"
     ]
    }
   ],
   "source": [
    "link = gs_analytics.summarise_regions(conn, result.id.val, regions_filtered)\n",
    "print(\"Summary saved\")"
   ]
  }
 ],
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