{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "a167180a",
   "metadata": {},
   "source": [
    "# Tissue Segmentation"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "2714ff7f",
   "metadata": {},
   "source": [
    "Here we shows how to use the function of tissue segmentation."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fcf33f14",
   "metadata": {},
   "source": [
    "We support `stereo.image.tissue_cut.SingleStrandDNATissueCut` class for cutting ssDNA from `.tif` image file, and `stereo.image.tissue_cut.RNATissueCut` class for segmenting RNA from GEF/GEM file."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "d40a77dc",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\">\n",
    "\n",
    "**Preparation**\n",
    "\n",
    "Before **Cell Segmentation**, **Tissue Segmentation**, certain packages should be installed beforehand.  \n",
    "\n",
    "Install necessary packages by running commands as below:\n",
    "\n",
    "**CPU:**\n",
    "\n",
    "        pip install tensorflow==2.12.0\n",
    "        pip install albumentations==1.3.1\n",
    "        pip install torch==2.4.1+cpu --extra-index-url https://download.pytorch.org/whl\n",
    "        pip install torchvision==0.19.1+cpu --extra-index-url https://download.pytorch.org/whl\n",
    "\n",
    "**GPU(CUDA11):**\n",
    "\n",
    "        pip install tensorflow==2.12.0\n",
    "        pip install albumentations==1.3.1\n",
    "        pip install torch==2.4.1+cu118 --extra-index-url https://download.pytorch.org/whl/\n",
    "        pip install torchvision==0.19.1+cu118 --extra-index-url https://download.pytorch.org/whl/\n",
    "        pip install onnxruntime-gpu\n",
    "\n",
    "**GPU(CUDA12):**\n",
    "\n",
    "        pip install tensorflow==2.12.0\n",
    "        pip install albumentations==1.3.1\n",
    "        pip install torch==2.4.1+cu124 --extra-index-url https://download.pytorch.org/whl/\n",
    "        pip install torchvision==0.19.1+cu124 --extra-index-url https://download.pytorch.org/whl/\n",
    "        pip install onnxruntime-gpu\n",
    "\n",
    "</div>"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "74574b5d",
   "metadata": {},
   "source": [
    "## Tissue segmentation from .TIFF image\n",
    "\n",
    "We now support 4 staining types of **.TIFF** image: **ssDNA**, **DAPI**,  **HE** and **mIF**, and have two models to process these four types images:\n",
    "\n",
    "        1. tissueseg_bcdu_H&E_20240201_tf.onnx: be used for staining type HE.\n",
    "\n",
    "        2. tissueseg_bcdu_SDI_230523_tf.onnx: be used for others staining types.\n",
    "\n",
    "The following part shows a case to segment a ssDNA-type image, and please download our [example data](http://116.6.21.110:8090/share/3ca60300-e8bd-4d67-8b68-14267e428523).\n",
    "\n",
    "Download the [deep learning model](http://116.6.21.110:8090/share/3ca60300-e8bd-4d67-8b68-14267e428523). It is assumed that the local storage path of the model is `'../data/seg_models/tissueseg_bcdu_SDI_230523_tf.onnx'`.\n",
    "\n",
    "More detail in [stereo.image.tissue_cut.SingleStrandDNATissueCut](../content/stereo.image.tissue_cut.SingleStrandDNATissueCut.__init__.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "fdd2e409",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-12-31T03:34:29.102603Z",
     "start_time": "2021-12-31T03:33:14.372647Z"
    },
    "execution": {
     "iopub.execute_input": "2024-03-21T09:01:26.739903Z",
     "iopub.status.busy": "2024-03-21T09:01:26.739118Z",
     "iopub.status.idle": "2024-03-21T09:01:57.560663Z",
     "shell.execute_reply": "2024-03-21T09:01:57.559750Z",
     "shell.execute_reply.started": "2024-03-21T09:01:26.739818Z"
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "application/javascript": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, js_modules, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls.length === 0 && js_modules.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    var skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@4.2.5/dist/gridstack-h5', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'gridstack': {'exports': 'GridStack'}}});\n      require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n      })\n      require([\"notyf\"], function() {\n\ton_load()\n      })\n      root._bokeh_is_loading = css_urls.length + 2;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length;\n    }    if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/0.14.4/dist/bundled/gridstack/gridstack@4.2.5/dist/gridstack-h5.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/0.14.4/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) >= 0) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) >= 0) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.3.min.js\", \"https://unpkg.com/@holoviz/panel@0.14.4/dist/panel.min.js\"];\n  var js_modules = [];\n  var css_urls = [\"https://cdn.holoviz.org/panel/0.14.4/dist/css/card.css\", \"https://cdn.holoviz.org/panel/0.14.4/dist/css/loading.css\", \"https://cdn.holoviz.org/panel/0.14.4/dist/css/debugger.css\", \"https://cdn.holoviz.org/panel/0.14.4/dist/css/dataframe.css\", \"https://cdn.holoviz.org/panel/0.14.4/dist/css/widgets.css\", \"https://cdn.holoviz.org/panel/0.14.4/dist/css/json.css\", \"https://cdn.holoviz.org/panel/0.14.4/dist/css/markdown.css\", \"https://cdn.holoviz.org/panel/0.14.4/dist/css/alerts.css\"];\n  var inline_js = [    function(Bokeh) {\n      inject_raw_css(\"\\n    .bk.pn-loading.arc:before {\\n      background-image: url(\\\"data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHN0eWxlPSJtYXJnaW46IGF1dG87IGJhY2tncm91bmQ6IG5vbmU7IGRpc3BsYXk6IGJsb2NrOyBzaGFwZS1yZW5kZXJpbmc6IGF1dG87IiB2aWV3Qm94PSIwIDAgMTAwIDEwMCIgcHJlc2VydmVBc3BlY3RSYXRpbz0ieE1pZFlNaWQiPiAgPGNpcmNsZSBjeD0iNTAiIGN5PSI1MCIgZmlsbD0ibm9uZSIgc3Ryb2tlPSIjYzNjM2MzIiBzdHJva2Utd2lkdGg9IjEwIiByPSIzNSIgc3Ryb2tlLWRhc2hhcnJheT0iMTY0LjkzMzYxNDMxMzQ2NDE1IDU2Ljk3Nzg3MTQzNzgyMTM4Ij4gICAgPGFuaW1hdGVUcmFuc2Zvcm0gYXR0cmlidXRlTmFtZT0idHJhbnNmb3JtIiB0eXBlPSJyb3RhdGUiIHJlcGVhdENvdW50PSJpbmRlZmluaXRlIiBkdXI9IjFzIiB2YWx1ZXM9IjAgNTAgNTA7MzYwIDUwIDUwIiBrZXlUaW1lcz0iMDsxIj48L2FuaW1hdGVUcmFuc2Zvcm0+ICA8L2NpcmNsZT48L3N2Zz4=\\\");\\n      background-size: auto calc(min(50%, 400px));\\n    }\\n    \");\n    },    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n        inline_js[i].call(root, root.Bokeh);\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, js_modules, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));",
      "application/vnd.holoviews_load.v0+json": ""
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n          var messages = comm.messages[Symbol.asyncIterator]();\n          function processIteratorResult(result) {\n            var message = result.value;\n            console.log(message)\n            var content = {data: message.data, comm_id};\n            var buffers = []\n            for (var buffer of message.buffers || []) {\n              buffers.push(new DataView(buffer))\n            }\n            var metadata = message.metadata || {};\n            var msg = {content, buffers, metadata}\n            msg_handler(msg);\n            return messages.next().then(processIteratorResult);\n          }\n          return messages.next().then(processIteratorResult);\n        })\n      }\n    }\n\n    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n      if (comm_id in window.PyViz.comms) {\n        return window.PyViz.comms[comm_id];\n      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n        if (msg_handler) {\n          comm.on_msg(msg_handler);\n        }\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n        comm.open();\n        if (msg_handler) {\n          comm.onMsg = msg_handler;\n        }\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        var comm_promise = google.colab.kernel.comms.open(comm_id)\n        comm_promise.then((comm) => {\n          window.PyViz.comms[comm_id] = comm;\n          if (msg_handler) {\n            var messages = comm.messages[Symbol.asyncIterator]();\n            function processIteratorResult(result) {\n              var message = result.value;\n              var content = {data: message.data};\n              var metadata = message.metadata || {comm_id};\n              var msg = {content, metadata}\n              msg_handler(msg);\n              return messages.next().then(processIteratorResult);\n            }\n            return messages.next().then(processIteratorResult);\n          }\n        }) \n        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n          return comm_promise.then((comm) => {\n            comm.send(data, metadata, buffers, disposeOnDone);\n          });\n        };\n        var comm = {\n          send: sendClosure\n        };\n      }\n      window.PyViz.comms[comm_id] = comm;\n      return comm;\n    }\n    window.PyViz.comm_manager = new JupyterCommManager();\n    \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n  var div = document.createElement(\"div\");\n  var script = document.createElement(\"script\");\n  node.appendChild(div);\n  node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n  var output_area = handle.output_area;\n  var output = handle.output;\n  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n    return\n  }\n  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n  if (id !== undefined) {\n    var nchildren = toinsert.length;\n    var html_node = toinsert[nchildren-1].children[0];\n    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n    var scripts = [];\n    var nodelist = html_node.querySelectorAll(\"script\");\n    for (var i in nodelist) {\n      if (nodelist.hasOwnProperty(i)) {\n        scripts.push(nodelist[i])\n      }\n    }\n\n    scripts.forEach( function (oldScript) {\n      var newScript = document.createElement(\"script\");\n      var attrs = [];\n      var nodemap = oldScript.attributes;\n      for (var j in nodemap) {\n        if (nodemap.hasOwnProperty(j)) {\n          attrs.push(nodemap[j])\n        }\n      }\n      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n      oldScript.parentNode.replaceChild(newScript, oldScript);\n    });\n    if (JS_MIME_TYPE in output.data) {\n      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n    }\n    output_area._hv_plot_id = id;\n    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n      window.PyViz.plot_index[id] = Bokeh.index[id];\n    } else {\n      window.PyViz.plot_index[id] = null;\n    }\n  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n    var bk_div = document.createElement(\"div\");\n    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n    var script_attrs = bk_div.children[0].attributes;\n    for (var i = 0; i < script_attrs.length; i++) {\n      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n    }\n    // store reference to server id on output_area\n    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n  }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n  function append_mime(data, metadata, element) {\n    // create a DOM node to render to\n    var toinsert = this.create_output_subarea(\n    metadata,\n    CLASS_NAME,\n    EXEC_MIME_TYPE\n    );\n    this.keyboard_manager.register_events(toinsert);\n    // Render to node\n    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n    render(props, toinsert[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n",
      "application/vnd.holoviews_load.v0+json": ""
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style>.bk-root, .bk-root .bk:before, .bk-root .bk:after {\n",
       "  font-family: var(--jp-ui-font-size1);\n",
       "  font-size: var(--jp-ui-font-size1);\n",
       "  color: var(--jp-ui-font-color1);\n",
       "}\n",
       "</style>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO 20240321-17-01-39 p96955 __init__ tissue_segmentation.py:33] start loading model weight\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:cellbin.utils.clog:start loading model weight\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO 20240321-17-01-39 p96955 _f_load_model onnx_net.py:29] loading weight from ../data/seg_models/tissueseg_bcdu_SDI_230523_tf.onnx\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:cellbin.utils.clog:loading weight from ../data/seg_models/tissueseg_bcdu_SDI_230523_tf.onnx\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO 20240321-17-01-41 p96955 _f_load_model onnx_net.py:40] onnx work on gpu 0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-03-21 17:01:40.896173342 [W:onnxruntime:, session_state.cc:1162 VerifyEachNodeIsAssignedToAnEp] Some nodes were not assigned to the preferred execution providers which may or may not have an negative impact on performance. e.g. ORT explicitly assigns shape related ops to CPU to improve perf.\n",
      "2024-03-21 17:01:40.896213047 [W:onnxruntime:, session_state.cc:1164 VerifyEachNodeIsAssignedToAnEp] Rerunning with verbose output on a non-minimal build will show node assignments.\n",
      "INFO:cellbin.utils.clog:onnx work on gpu 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO 20240321-17-01-41 p96955 __init__ tissue_segmentation.py:35] end loading model weight\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:cellbin.utils.clog:end loading model weight\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO 20240321-17-01-43 p96955 run tissue_segmentation.py:46] start tissue seg\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:cellbin.utils.clog:start tissue seg\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO 20240321-17-01-57 p96955 run tissue_segmentation.py:48] end tissue seg\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:cellbin.utils.clog:end tissue seg\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['./tissue_seg/result/SS200000135TL_D1_regist_tissue_cut.tif']"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from stereo.image.tissue_cut import SingleStrandDNATissueCut\n",
    "\n",
    "# Initial the TissueCut object\n",
    "ssDNA_tissue_cut = SingleStrandDNATissueCut(\n",
    "    src_img_path='../data/SS200000135TL_D1_regist.tif',\n",
    "    dst_img_path='./tissue_seg/result',\n",
    "    model_path='../data/seg_models/tissueseg_bcdu_SDI_230523_tf.onnx',\n",
    "    staining_type='ssDNA',\n",
    "    gpu='0' # set to -1 to run on cpu\n",
    ")\n",
    "\n",
    "# Real do the image transforming\n",
    "ssDNA_tissue_cut.tissue_seg()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e4af45c-2866-46c3-95eb-6a3866e5fa8d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-21T08:49:31.702945Z",
     "iopub.status.busy": "2024-03-21T08:49:31.701944Z",
     "iopub.status.idle": "2024-03-21T08:49:31.711780Z",
     "shell.execute_reply": "2024-03-21T08:49:31.709811Z",
     "shell.execute_reply.started": "2024-03-21T08:49:31.702871Z"
    }
   },
   "source": [
    "## Tissue segmentation from GEM/GEF\n",
    "\n",
    "More detail in [stereo.image.tissue_cut.RNATissueCut](../content/stereo.image.tissue_cut.RNATissueCut.__init__.html)\n",
    "\n",
    "Model `tissueseg_bcdu_RNA_220909_tf.onnx` is used for this part."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "196fc9fe-9a45-47af-9f80-5d1c7e059935",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-21T09:01:57.564105Z",
     "iopub.status.busy": "2024-03-21T09:01:57.563258Z",
     "iopub.status.idle": "2024-03-21T09:02:44.894699Z",
     "shell.execute_reply": "2024-03-21T09:02:44.893666Z",
     "shell.execute_reply.started": "2024-03-21T09:01:57.564078Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO 20240321-17-01-57 p96955 __init__ tissue_segmentation.py:33] start loading model weight\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:cellbin.utils.clog:start loading model weight\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO 20240321-17-01-57 p96955 _f_load_model onnx_net.py:29] loading weight from ../data/seg_models/tissueseg_bcdu_rna_220909_tf.onnx\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:cellbin.utils.clog:loading weight from ../data/seg_models/tissueseg_bcdu_rna_220909_tf.onnx\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO 20240321-17-01-57 p96955 _f_load_model onnx_net.py:40] onnx work on gpu 0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-03-21 17:01:57.743670991 [W:onnxruntime:, session_state.cc:1162 VerifyEachNodeIsAssignedToAnEp] Some nodes were not assigned to the preferred execution providers which may or may not have an negative impact on performance. e.g. ORT explicitly assigns shape related ops to CPU to improve perf.\n",
      "2024-03-21 17:01:57.743691209 [W:onnxruntime:, session_state.cc:1164 VerifyEachNodeIsAssignedToAnEp] Rerunning with verbose output on a non-minimal build will show node assignments.\n",
      "INFO:cellbin.utils.clog:onnx work on gpu 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO 20240321-17-01-57 p96955 __init__ tissue_segmentation.py:35] end loading model weight\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:cellbin.utils.clog:end loading model weight\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO 20240321-17-02-33 p96955 run tissue_segmentation.py:46] start tissue seg\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:cellbin.utils.clog:start tissue seg\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO 20240321-17-02-44 p96955 run tissue_segmentation.py:48] end tissue seg\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:cellbin.utils.clog:end tissue seg\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['./tissue_seg/result/SS200000135TL_D1.raw_tissue_cut.tif']"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from stereo.image.tissue_cut import RNATissueCut\n",
    "\n",
    "#GEF\n",
    "rna_tissue_cut = RNATissueCut(\n",
    "    dst_img_path='./tissue_seg/result',\n",
    "    gef_path='../data/SS200000135TL_D1.raw.gef',\n",
    "    model_path='../data/seg_models/tissueseg_bcdu_rna_220909_tf.onnx',\n",
    "    gpu='0' # set to -1 to run on cpu\n",
    ")\n",
    "rna_tissue_cut.tissue_seg()\n",
    "\n",
    "#GEM\n",
    "# rna_tissue_cut = RNATissueCut(\n",
    "#     dst_img_path='../data/tissue_seg/result',\n",
    "#     gem_path='../data/SS200000135TL_D1.raw.gem',\n",
    "#     model_path='../data/seg_models/tissueseg_bcdu_rna_220909_tf.onnx',\n",
    "#     gpu='0' # set to -1 to run on cpu\n",
    "# )\n",
    "# rna_tissue_cut.tissue_seg()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "3ea958b5",
   "metadata": {},
   "source": [
    "## New BGEF"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "c6d81b24",
   "metadata": {},
   "source": [
    "Function `stereo.tools.tissue_extraction.tissue_extration_to_bgef` extracts the tissue segmentation BGEF file of bin1 from the corresponding raw BGEF file of bin1, depending on the result mask generated by tissue segmentation and the registered ssDNA tif of the bin 1 RNA GEF file."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "6f0a77dd",
   "metadata": {},
   "source": [
    "### Extraction with ssDNA image"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "dba33341",
   "metadata": {},
   "source": [
    "Now show you how to extract the GEF with a ssDNA image:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9b3b5c5c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-21T09:02:44.896781Z",
     "iopub.status.busy": "2024-03-21T09:02:44.896512Z",
     "iopub.status.idle": "2024-03-21T09:02:44.901808Z",
     "shell.execute_reply": "2024-03-21T09:02:44.901214Z",
     "shell.execute_reply.started": "2024-03-21T09:02:44.896753Z"
    }
   },
   "outputs": [],
   "source": [
    "import stereo as st"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "9636ab6a",
   "metadata": {},
   "source": [
    "That's how raw GEF originally looks like."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a95bebca",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-21T09:03:09.173283Z",
     "iopub.status.busy": "2024-03-21T09:03:09.173061Z",
     "iopub.status.idle": "2024-03-21T09:03:29.601660Z",
     "shell.execute_reply": "2024-03-21T09:03:29.600340Z",
     "shell.execute_reply.started": "2024-03-21T09:03:09.173265Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2024-03-21 17:03:09][Stereo][96955][MainThread][139672358180672][reader][1090][INFO]: read_gef begin ...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "path:../data/SS200000135TL_D1.raw.gef bin:100\n",
      "Warning:your source data file only has gene column,but you specify return gene_names and gene ids which is invalid!so we will return an empty array which has same size with gene_names for the gene_ids\n",
      "               generateBinInfo - 26.050000 cpu sec\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2024-03-21 17:03:26][Stereo][96955][MainThread][139672358180672][reader][1268][INFO]: the matrix has 44775 cells, and 24670 genes.\n",
      "[2024-03-21 17:03:26][Stereo][96955][MainThread][139672358180672][reader][1269][INFO]: read_gef end.\n",
      "[2024-03-21 17:03:26][Stereo][96955][MainThread][139672358180672][st_pipeline][41][INFO]: start to run cal_qc...\n",
      "[2024-03-21 17:03:27][Stereo][96955][MainThread][139672358180672][st_pipeline][44][INFO]: cal_qc end, consume time 0.4893s.\n"
     ]
    },
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
      "text/html": [
       "<div id='1002'>\n",
       "  <div class=\"bk-root\" id=\"ef9c9cbb-b8b8-43d6-bfde-de3b8f5250ff\" data-root-id=\"1002\"></div>\n",
       "</div>\n",
       "<script type=\"application/javascript\">(function(root) {\n",
       "  function embed_document(root) {\n",
       "    var docs_json = {\"dc169063-86b2-4bcb-a988-e3b8ffe5147e\":{\"defs\":[{\"extends\":null,\"module\":null,\"name\":\"ReactiveHTML1\",\"overrides\":[],\"properties\":[]},{\"extends\":null,\"module\":null,\"name\":\"FlexBox1\",\"overrides\":[],\"properties\":[{\"default\":\"flex-start\",\"kind\":null,\"name\":\"align_content\"},{\"default\":\"flex-start\",\"kind\":null,\"name\":\"align_items\"},{\"default\":\"row\",\"kind\":null,\"name\":\"flex_direction\"},{\"default\":\"wrap\",\"kind\":null,\"name\":\"flex_wrap\"},{\"default\":\"flex-start\",\"kind\":null,\"name\":\"justify_content\"}]},{\"extends\":null,\"module\":null,\"name\":\"GridStack1\",\"overrides\":[],\"properties\":[{\"default\":\"warn\",\"kind\":null,\"name\":\"mode\"},{\"default\":null,\"kind\":null,\"name\":\"ncols\"},{\"default\":null,\"kind\":null,\"name\":\"nrows\"},{\"default\":true,\"kind\":null,\"name\":\"allow_resize\"},{\"default\":true,\"kind\":null,\"name\":\"allow_drag\"},{\"default\":[],\"kind\":null,\"name\":\"state\"}]},{\"extends\":null,\"module\":null,\"name\":\"click1\",\"overrides\":[],\"properties\":[{\"default\":\"\",\"kind\":null,\"name\":\"terminal_output\"},{\"default\":\"\",\"kind\":null,\"name\":\"debug_name\"},{\"default\":0,\"kind\":null,\"name\":\"clears\"}]},{\"extends\":null,\"module\":null,\"name\":\"NotificationAreaBase1\",\"overrides\":[],\"properties\":[{\"default\":\"bottom-right\",\"kind\":null,\"name\":\"position\"},{\"default\":0,\"kind\":null,\"name\":\"_clear\"}]},{\"extends\":null,\"module\":null,\"name\":\"NotificationArea1\",\"overrides\":[],\"properties\":[{\"default\":[],\"kind\":null,\"name\":\"notifications\"},{\"default\":\"bottom-right\",\"kind\":null,\"name\":\"position\"},{\"default\":0,\"kind\":null,\"name\":\"_clear\"},{\"default\":[{\"background\":\"#ffc107\",\"icon\":{\"className\":\"fas fa-exclamation-triangle\",\"color\":\"white\",\"tagName\":\"i\"},\"type\":\"warning\"},{\"background\":\"#007bff\",\"icon\":{\"className\":\"fas fa-info-circle\",\"color\":\"white\",\"tagName\":\"i\"},\"type\":\"info\"}],\"kind\":null,\"name\":\"types\"}]},{\"extends\":null,\"module\":null,\"name\":\"Notification\",\"overrides\":[],\"properties\":[{\"default\":null,\"kind\":null,\"name\":\"background\"},{\"default\":3000,\"kind\":null,\"name\":\"duration\"},{\"default\":null,\"kind\":null,\"name\":\"icon\"},{\"default\":\"\",\"kind\":null,\"name\":\"message\"},{\"default\":null,\"kind\":null,\"name\":\"notification_type\"},{\"default\":false,\"kind\":null,\"name\":\"_destroyed\"}]},{\"extends\":null,\"module\":null,\"name\":\"TemplateActions1\",\"overrides\":[],\"properties\":[{\"default\":0,\"kind\":null,\"name\":\"open_modal\"},{\"default\":0,\"kind\":null,\"name\":\"close_modal\"}]},{\"extends\":null,\"module\":null,\"name\":\"MaterialTemplateActions1\",\"overrides\":[],\"properties\":[{\"default\":0,\"kind\":null,\"name\":\"open_modal\"},{\"default\":0,\"kind\":null,\"name\":\"close_modal\"}]}],\"roots\":{\"references\":[{\"attributes\":{\"low\":0,\"margin\":[5,10,5,10],\"min_width\":200,\"mode\":\"int\",\"placeholder\":\"Enter the dip...\",\"title\":\"dpi\",\"value\":100,\"value_throttled\":100,\"width\":200},\"id\":\"1007\",\"type\":\"Spinner\"},{\"attributes\":{\"children\":[{\"id\":\"1005\"},{\"id\":\"1006\"},{\"id\":\"1007\"}],\"margin\":[0,0,0,0],\"name\":\"Row00796\"},\"id\":\"1004\",\"type\":\"Row\"},{\"attributes\":{\"margin\":[5,10,5,10],\"max_length\":5000,\"min_width\":200,\"placeholder\":\"Enter a file name...\",\"title\":\"file name\",\"width\":200},\"id\":\"1005\",\"type\":\"TextInput\"},{\"attributes\":{\"client_comm_id\":\"a2b350112a984929870dbf11bf7eeb6a\",\"comm_id\":\"10beb39948bd43e9b35a324ae0c4c479\",\"plot_id\":\"1002\"},\"id\":\"1011\",\"type\":\"panel.models.comm_manager.CommManager\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00798\",\"text\":\"&lt;p&gt;&lt;font size=&quot;3&quot;&gt;&lt;br&gt;Exporting the plot.&lt;/br&gt;&lt;/font&gt;&lt;/p&gt;\"},\"id\":\"1003\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"button_type\":\"primary\",\"icon\":null,\"label\":\"export\",\"margin\":[5,10,5,10],\"min_width\":100,\"subscribed_events\":[\"button_click\"],\"width\":100},\"id\":\"1009\",\"type\":\"Button\"},{\"attributes\":{\"margin\":[5,10,5,10],\"name\":\"\",\"width\":800},\"id\":\"1010\",\"type\":\"Div\"},{\"attributes\":{\"margin\":[5,10,5,10],\"min_width\":60,\"options\":[\"png\",\"pdf\"],\"title\":\"file format\",\"value\":\"png\",\"width\":60},\"id\":\"1006\",\"type\":\"panel.models.widgets.CustomSelect\"},{\"attributes\":{\"children\":[{\"id\":\"1009\"},{\"id\":\"1010\"}],\"margin\":[0,0,0,0],\"name\":\"Row00797\"},\"id\":\"1008\",\"type\":\"Row\"},{\"attributes\":{\"reload\":false},\"id\":\"1012\",\"type\":\"panel.models.location.Location\"},{\"attributes\":{\"children\":[{\"id\":\"1003\"},{\"id\":\"1004\"},{\"id\":\"1008\"}],\"margin\":[0,0,0,0],\"name\":\"Column00800\"},\"id\":\"1002\",\"type\":\"Column\"}],\"root_ids\":[\"1002\",\"1011\",\"1012\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.3\"}};\n",
       "    var render_items = [{\"docid\":\"dc169063-86b2-4bcb-a988-e3b8ffe5147e\",\"root_ids\":[\"1002\"],\"roots\":{\"1002\":\"ef9c9cbb-b8b8-43d6-bfde-de3b8f5250ff\"}}];\n",
       "    root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "    for (const render_item of render_items) {\n",
       "      for (const root_id of render_item.root_ids) {\n",
       "\tconst id_el = document.getElementById(root_id)\n",
       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
       "\t  const root_el = id_el.children[0]\n",
       "\t  root_el.id = root_el.id + '-rendered'\n",
       "\t}\n",
       "      }\n",
       "    }\n",
       "  }\n",
       "  if (root.Bokeh !== undefined && root.Bokeh.Panel !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined && root.Bokeh.Panel !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else if (document.readyState == \"complete\") {\n",
       "        attempts++;\n",
       "        if (attempts > 200) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 25, root)\n",
       "  }\n",
       "})(window);</script>"
      ],
      "text/plain": [
       "Column\n",
       "    [0] Markdown(str)\n",
       "    [1] Row\n",
       "        [0] TextInput(name='file name', placeholder='Enter a file name...', width=200)\n",
       "        [1] Select(name='file format', options=['png', 'pdf'], value='png', width=60)\n",
       "        [2] IntInput(name='dpi', placeholder='Enter the dip...', start=0, value=100, width=200)\n",
       "    [2] Row\n",
       "        [0] Button(button_type='primary', name='export', width=100)\n",
       "        [1] StaticText(width=800)"
      ]
     },
     "execution_count": 5,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "1002"
      }
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2000x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "st_exp_data = st.io.read_gef('../data/SS200000135TL_D1.raw.gef', bin_size=100)\n",
    "st_exp_data.tl.cal_qc()\n",
    "st_exp_data.plt.spatial_scatter()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "a213e31b",
   "metadata": {},
   "source": [
    "Then, start to extract the tissue area by giving a registered `.tif`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fe44a85b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-21T09:03:29.603893Z",
     "iopub.status.busy": "2024-03-21T09:03:29.603152Z",
     "iopub.status.idle": "2024-03-21T09:03:50.610665Z",
     "shell.execute_reply": "2024-03-21T09:03:50.609699Z",
     "shell.execute_reply.started": "2024-03-21T09:03:29.603871Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO 20240321-17-03-29 p96955 __init__ tissue_segmentation.py:33] start loading model weight\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:cellbin.utils.clog:start loading model weight\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO 20240321-17-03-29 p96955 _f_load_model onnx_net.py:29] loading weight from ../data/seg_models/tissueseg_bcdu_SDI_230523_tf.onnx\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:cellbin.utils.clog:loading weight from ../data/seg_models/tissueseg_bcdu_SDI_230523_tf.onnx\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO 20240321-17-03-29 p96955 _f_load_model onnx_net.py:40] onnx work on gpu 0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:cellbin.utils.clog:onnx work on gpu 0\n",
      "2024-03-21 17:03:29.745706293 [W:onnxruntime:, session_state.cc:1162 VerifyEachNodeIsAssignedToAnEp] Some nodes were not assigned to the preferred execution providers which may or may not have an negative impact on performance. e.g. ORT explicitly assigns shape related ops to CPU to improve perf.\n",
      "2024-03-21 17:03:29.745735384 [W:onnxruntime:, session_state.cc:1164 VerifyEachNodeIsAssignedToAnEp] Rerunning with verbose output on a non-minimal build will show node assignments.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO 20240321-17-03-29 p96955 __init__ tissue_segmentation.py:35] end loading model weight\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:cellbin.utils.clog:end loading model weight\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO 20240321-17-03-30 p96955 run tissue_segmentation.py:46] start tissue seg\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:cellbin.utils.clog:start tissue seg\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO 20240321-17-03-43 p96955 run tissue_segmentation.py:48] end tissue seg\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:cellbin.utils.clog:end tissue seg\n",
      "[2024-03-21 17:03:43][Stereo][96955][MainThread][139672358180672][tissue_extraction][89][INFO]: tissue_cut finish, mask file is saved at ./tissue_seg/result/SS200000135TL_D1_regist_tissue_cut.tif\n",
      "[2024-03-21 17:03:50][Stereo][96955][MainThread][139672358180672][tissue_extraction][95][INFO]: gef extraction finish, extracted gef save at ./SS200000135TL_D1.tissue.gef\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bit space sample is : 8\n",
      "img row:26459 col:26459\n",
      "minx:0 miny:0 maxx:26458 maxy:26458\n",
      "gene:24670 geneexp:76210617\n",
      "readbgef - elapsed time: 2441.87584 ms\n",
      "getmaskgenedata_bgef thread time elapsed time: 2.12947 ms\n",
      "new gcnt:24286 new gexp:62551475\n",
      "getmaskgenedata_bgef - elapsed time: 1945.82985 ms\n",
      "writebgef - elapsed time: 1358.90096 ms\n"
     ]
    }
   ],
   "source": [
    "from stereo.tools.tissue_extraction import tissue_extraction_to_bgef\n",
    "\n",
    "# ssDNA\n",
    "tissue_extraction_to_bgef(\n",
    "    src_img_path='../data/SS200000135TL_D1_regist.tif',\n",
    "    src_gef_path='../data/SS200000135TL_D1.raw.gef',\n",
    "    dst_bgef_path='./SS200000135TL_D1.tissue.gef',\n",
    "    dst_mask_dir_path='./tissue_seg/result',\n",
    "    staining_type='ssDNA',\n",
    "    model_path='../data/seg_models/tissueseg_bcdu_SDI_230523_tf.onnx',\n",
    "    gpu='0' # set to -1 to run on cpu\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "a604d4c8",
   "metadata": {},
   "source": [
    "Read BGEF file after extraction to see what have been done on it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7826c14e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-21T09:04:08.344654Z",
     "iopub.status.busy": "2024-03-21T09:04:08.344447Z",
     "iopub.status.idle": "2024-03-21T09:04:21.151328Z",
     "shell.execute_reply": "2024-03-21T09:04:21.150353Z",
     "shell.execute_reply.started": "2024-03-21T09:04:08.344635Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2024-03-21 17:04:08][Stereo][96955][MainThread][139672358180672][reader][1090][INFO]: read_gef begin ...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "path:./SS200000135TL_D1.tissue.gef bin:100\n",
      "Warning:your source data file only has gene column,but you specify return gene_names and gene ids which is invalid!so we will return an empty array which has same size with gene_names for the gene_ids\n",
      "               generateBinInfo - 20.200000 cpu sec\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2024-03-21 17:04:19][Stereo][96955][MainThread][139672358180672][reader][1268][INFO]: the matrix has 8993 cells, and 24286 genes.\n",
      "[2024-03-21 17:04:19][Stereo][96955][MainThread][139672358180672][reader][1269][INFO]: read_gef end.\n",
      "[2024-03-21 17:04:19][Stereo][96955][MainThread][139672358180672][st_pipeline][41][INFO]: start to run cal_qc...\n",
      "[2024-03-21 17:04:20][Stereo][96955][MainThread][139672358180672][st_pipeline][44][INFO]: cal_qc end, consume time 0.3661s.\n"
     ]
    },
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
      "text/html": [
       "<div id='1013'>\n",
       "  <div class=\"bk-root\" id=\"8bda235d-d6e3-44cc-8b61-2631cd26cee2\" data-root-id=\"1013\"></div>\n",
       "</div>\n",
       "<script type=\"application/javascript\">(function(root) {\n",
       "  function embed_document(root) {\n",
       "    var docs_json = {\"8db17bba-01cd-42e0-ab09-1bf02662996c\":{\"defs\":[{\"extends\":null,\"module\":null,\"name\":\"ReactiveHTML1\",\"overrides\":[],\"properties\":[]},{\"extends\":null,\"module\":null,\"name\":\"FlexBox1\",\"overrides\":[],\"properties\":[{\"default\":\"flex-start\",\"kind\":null,\"name\":\"align_content\"},{\"default\":\"flex-start\",\"kind\":null,\"name\":\"align_items\"},{\"default\":\"row\",\"kind\":null,\"name\":\"flex_direction\"},{\"default\":\"wrap\",\"kind\":null,\"name\":\"flex_wrap\"},{\"default\":\"flex-start\",\"kind\":null,\"name\":\"justify_content\"}]},{\"extends\":null,\"module\":null,\"name\":\"GridStack1\",\"overrides\":[],\"properties\":[{\"default\":\"warn\",\"kind\":null,\"name\":\"mode\"},{\"default\":null,\"kind\":null,\"name\":\"ncols\"},{\"default\":null,\"kind\":null,\"name\":\"nrows\"},{\"default\":true,\"kind\":null,\"name\":\"allow_resize\"},{\"default\":true,\"kind\":null,\"name\":\"allow_drag\"},{\"default\":[],\"kind\":null,\"name\":\"state\"}]},{\"extends\":null,\"module\":null,\"name\":\"click1\",\"overrides\":[],\"properties\":[{\"default\":\"\",\"kind\":null,\"name\":\"terminal_output\"},{\"default\":\"\",\"kind\":null,\"name\":\"debug_name\"},{\"default\":0,\"kind\":null,\"name\":\"clears\"}]},{\"extends\":null,\"module\":null,\"name\":\"NotificationAreaBase1\",\"overrides\":[],\"properties\":[{\"default\":\"bottom-right\",\"kind\":null,\"name\":\"position\"},{\"default\":0,\"kind\":null,\"name\":\"_clear\"}]},{\"extends\":null,\"module\":null,\"name\":\"NotificationArea1\",\"overrides\":[],\"properties\":[{\"default\":[],\"kind\":null,\"name\":\"notifications\"},{\"default\":\"bottom-right\",\"kind\":null,\"name\":\"position\"},{\"default\":0,\"kind\":null,\"name\":\"_clear\"},{\"default\":[{\"background\":\"#ffc107\",\"icon\":{\"className\":\"fas fa-exclamation-triangle\",\"color\":\"white\",\"tagName\":\"i\"},\"type\":\"warning\"},{\"background\":\"#007bff\",\"icon\":{\"className\":\"fas fa-info-circle\",\"color\":\"white\",\"tagName\":\"i\"},\"type\":\"info\"}],\"kind\":null,\"name\":\"types\"}]},{\"extends\":null,\"module\":null,\"name\":\"Notification\",\"overrides\":[],\"properties\":[{\"default\":null,\"kind\":null,\"name\":\"background\"},{\"default\":3000,\"kind\":null,\"name\":\"duration\"},{\"default\":null,\"kind\":null,\"name\":\"icon\"},{\"default\":\"\",\"kind\":null,\"name\":\"message\"},{\"default\":null,\"kind\":null,\"name\":\"notification_type\"},{\"default\":false,\"kind\":null,\"name\":\"_destroyed\"}]},{\"extends\":null,\"module\":null,\"name\":\"TemplateActions1\",\"overrides\":[],\"properties\":[{\"default\":0,\"kind\":null,\"name\":\"open_modal\"},{\"default\":0,\"kind\":null,\"name\":\"close_modal\"}]},{\"extends\":null,\"module\":null,\"name\":\"MaterialTemplateActions1\",\"overrides\":[],\"properties\":[{\"default\":0,\"kind\":null,\"name\":\"open_modal\"},{\"default\":0,\"kind\":null,\"name\":\"close_modal\"}]}],\"roots\":{\"references\":[{\"attributes\":{\"margin\":[5,10,5,10],\"name\":\"\",\"width\":800},\"id\":\"1021\",\"type\":\"Div\"},{\"attributes\":{\"children\":[{\"id\":\"1020\"},{\"id\":\"1021\"}],\"margin\":[0,0,0,0],\"name\":\"Row00811\"},\"id\":\"1019\",\"type\":\"Row\"},{\"attributes\":{\"client_comm_id\":\"0e63647bcccc4ff49ec84149daae6af4\",\"comm_id\":\"931c714752a04bdba6b85c27a64659fd\",\"plot_id\":\"1013\"},\"id\":\"1022\",\"type\":\"panel.models.comm_manager.CommManager\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00812\",\"text\":\"&lt;p&gt;&lt;font size=&quot;3&quot;&gt;&lt;br&gt;Exporting the plot.&lt;/br&gt;&lt;/font&gt;&lt;/p&gt;\"},\"id\":\"1014\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"button_type\":\"primary\",\"icon\":null,\"label\":\"export\",\"margin\":[5,10,5,10],\"min_width\":100,\"subscribed_events\":[\"button_click\"],\"width\":100},\"id\":\"1020\",\"type\":\"Button\"},{\"attributes\":{\"margin\":[5,10,5,10],\"max_length\":5000,\"min_width\":200,\"placeholder\":\"Enter a file name...\",\"title\":\"file name\",\"width\":200},\"id\":\"1016\",\"type\":\"TextInput\"},{\"attributes\":{\"children\":[{\"id\":\"1016\"},{\"id\":\"1017\"},{\"id\":\"1018\"}],\"margin\":[0,0,0,0],\"name\":\"Row00810\"},\"id\":\"1015\",\"type\":\"Row\"},{\"attributes\":{\"low\":0,\"margin\":[5,10,5,10],\"min_width\":200,\"mode\":\"int\",\"placeholder\":\"Enter the dip...\",\"title\":\"dpi\",\"value\":100,\"value_throttled\":100,\"width\":200},\"id\":\"1018\",\"type\":\"Spinner\"},{\"attributes\":{\"margin\":[5,10,5,10],\"min_width\":60,\"options\":[\"png\",\"pdf\"],\"title\":\"file format\",\"value\":\"png\",\"width\":60},\"id\":\"1017\",\"type\":\"panel.models.widgets.CustomSelect\"},{\"attributes\":{\"children\":[{\"id\":\"1014\"},{\"id\":\"1015\"},{\"id\":\"1019\"}],\"margin\":[0,0,0,0],\"name\":\"Column00814\"},\"id\":\"1013\",\"type\":\"Column\"}],\"root_ids\":[\"1013\",\"1022\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.3\"}};\n",
       "    var render_items = [{\"docid\":\"8db17bba-01cd-42e0-ab09-1bf02662996c\",\"root_ids\":[\"1013\"],\"roots\":{\"1013\":\"8bda235d-d6e3-44cc-8b61-2631cd26cee2\"}}];\n",
       "    root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "    for (const render_item of render_items) {\n",
       "      for (const root_id of render_item.root_ids) {\n",
       "\tconst id_el = document.getElementById(root_id)\n",
       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
       "\t  const root_el = id_el.children[0]\n",
       "\t  root_el.id = root_el.id + '-rendered'\n",
       "\t}\n",
       "      }\n",
       "    }\n",
       "  }\n",
       "  if (root.Bokeh !== undefined && root.Bokeh.Panel !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined && root.Bokeh.Panel !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else if (document.readyState == \"complete\") {\n",
       "        attempts++;\n",
       "        if (attempts > 200) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 25, root)\n",
       "  }\n",
       "})(window);</script>"
      ],
      "text/plain": [
       "Column\n",
       "    [0] Markdown(str)\n",
       "    [1] Row\n",
       "        [0] TextInput(name='file name', placeholder='Enter a file name...', width=200)\n",
       "        [1] Select(name='file format', options=['png', 'pdf'], value='png', width=60)\n",
       "        [2] IntInput(name='dpi', placeholder='Enter the dip...', start=0, value=100, width=200)\n",
       "    [2] Row\n",
       "        [0] Button(button_type='primary', name='export', width=100)\n",
       "        [1] StaticText(width=800)"
      ]
     },
     "execution_count": 8,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "1013"
      }
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2000x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "st_exp_data = st.io.read_gef('./SS200000135TL_D1.tissue.gef', bin_size=100)\n",
    "st_exp_data.tl.cal_qc()\n",
    "st_exp_data.plt.spatial_scatter()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "b31aad94",
   "metadata": {},
   "source": [
    "### Extraction only with expression matrix"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "cb1ff129",
   "metadata": {},
   "source": [
    "Change `staining_type` to **RNA**, and use gene expression matrix to extract GEF."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2afb1a74",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-03-21T09:04:21.152813Z",
     "iopub.status.busy": "2024-03-21T09:04:21.152619Z",
     "iopub.status.idle": "2024-03-21T09:05:13.150769Z",
     "shell.execute_reply": "2024-03-21T09:05:13.149772Z",
     "shell.execute_reply.started": "2024-03-21T09:04:21.152797Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO 20240321-17-04-21 p96955 __init__ tissue_segmentation.py:33] start loading model weight\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:cellbin.utils.clog:start loading model weight\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO 20240321-17-04-21 p96955 _f_load_model onnx_net.py:29] loading weight from ../data/seg_models/tissueseg_bcdu_rna_220909_tf.onnx\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:cellbin.utils.clog:loading weight from ../data/seg_models/tissueseg_bcdu_rna_220909_tf.onnx\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO 20240321-17-04-21 p96955 _f_load_model onnx_net.py:40] onnx work on gpu 0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-03-21 17:04:21.310511898 [W:onnxruntime:, session_state.cc:1162 VerifyEachNodeIsAssignedToAnEp] Some nodes were not assigned to the preferred execution providers which may or may not have an negative impact on performance. e.g. ORT explicitly assigns shape related ops to CPU to improve perf.\n",
      "2024-03-21 17:04:21.310530619 [W:onnxruntime:, session_state.cc:1164 VerifyEachNodeIsAssignedToAnEp] Rerunning with verbose output on a non-minimal build will show node assignments.\n",
      "INFO:cellbin.utils.clog:onnx work on gpu 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO 20240321-17-04-21 p96955 __init__ tissue_segmentation.py:35] end loading model weight\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:cellbin.utils.clog:end loading model weight\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO 20240321-17-04-55 p96955 run tissue_segmentation.py:46] start tissue seg\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:cellbin.utils.clog:start tissue seg\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO 20240321-17-05-05 p96955 run tissue_segmentation.py:48] end tissue seg\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:cellbin.utils.clog:end tissue seg\n",
      "[2024-03-21 17:05:06][Stereo][96955][MainThread][139672358180672][tissue_extraction][89][INFO]: tissue_cut finish, mask file is saved at ./tissue_seg/result/SS200000135TL_D1.raw_tissue_cut.tif\n",
      "[2024-03-21 17:05:13][Stereo][96955][MainThread][139672358180672][tissue_extraction][95][INFO]: gef extraction finish, extracted gef save at ./SS200000135TL_D1.tissue.gef\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bit space sample is : 8\n",
      "img row:26459 col:26459\n",
      "minx:0 miny:0 maxx:26458 maxy:26458\n",
      "gene:24670 geneexp:76210617\n",
      "readbgef - elapsed time: 2436.14483 ms\n",
      "getmaskgenedata_bgef thread time elapsed time: 2.30181 ms\n",
      "new gcnt:24311 new gexp:63274175\n",
      "getmaskgenedata_bgef - elapsed time: 1951.82507 ms\n",
      "writebgef - elapsed time: 1542.28937 ms\n"
     ]
    }
   ],
   "source": [
    "tissue_extraction_to_bgef(\n",
    "    src_gef_path='../data/SS200000135TL_D1.raw.gef',\n",
    "    dst_bgef_path='./SS200000135TL_D1.tissue.gef',\n",
    "    dst_mask_dir_path='./tissue_seg/result',\n",
    "    staining_type='RNA',\n",
    "    model_path='../data/seg_models/tissueseg_bcdu_rna_220909_tf.onnx',\n",
    "    gpu='0' # set to -1 to run on cpu\n",
    ")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "stereopy",
   "language": "python",
   "name": "stereopy"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.17"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  },
  "vscode": {
   "interpreter": {
    "hash": "70dbeb2a90198859cd91b6ea0f3adc73d66939fe301617b631d99dfc954c0323"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}