{
 "cells": [
  {
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   "id": "2ee40f5e8feed459",
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   "source": [
    "# 6. Fitting Logistic Growth Curves\n",
    "\n",
    "---\n",
    "\n",
    "## Background\n",
    "\n",
    "In this tutorial we will cover how to fit growth curves on data from PhenoTypic. For growth curves you'll typically want to use metrics of size from `pht.measure.MeasureSize`: \"Size_Area\" or \"Size_IntegratedIntensity\". These can also be obtained from `pht.measure.MeasureArea` or `pht.measure.MeasureIntensity` respectively.\n",
    "\n",
    "Size Metric Comparison:\n",
    "\n",
    "| Metric                          | Pros                                         | Cons                                                                                                     |\n",
    "|:--------------------------------|:---------------------------------------------|:---------------------------------------------------------------------------------------------------------|\n",
    "| \"Shape_Area\"                    | Simple to set up<br> Captures lateral growth | Misses Vertical Growth                                                                                   |\n",
    "| \"Intensity_IntegratedIntensity\" | Captures lateral and vertical growth         | Requires color correction if there's significant color drift or lots of color variation between colonies |\n",
    "\n",
    "\n",
    "Phenotypic uses the following form of the logistic formula:\n",
    "\n",
    "### Logistic Kinetics Model\n",
    "\n",
    "$N(t) = \\frac{K } {1 + \\frac{K - N0}{N0}  e^{-r t}}$\n",
    "\n",
    "> $N_t$: population size at time t\n",
    "\n",
    "> $N_0$: initial population size at time t\n",
    "\n",
    "> $r$: growth rate\n",
    "\n",
    "> $K$: Carrying capacity (maximum population size).\n",
    "\n",
    "from which we can derive:\n",
    "\n",
    "$µ_{max} = \\frac{Kr}{4}$\n",
    "\n",
    "> $µ_{max}$: maximum specific growth rate\n",
    "\n",
    "\n",
    "To solver for the parameters, we use the following loss function with the scipy linear least squares solver\n",
    "\n",
    "### Loss Function\n",
    "\n",
    "$J(K,N_0,r) = \\frac{1}{n}\\sum_{i=1}^{n}\\frac{1}{2}(f_{K,N0,r}(t^{(i)}) - N_t^{(i)})^2) + \\lambda(\\frac{dN}{dt}^2 + N_0^2) + \\alpha \\frac{\\lvert K-\\max({N_t})\\rvert}{N_t}$\n",
    "\n",
    "> $\\lambda$: regularization term for growth rate and initial population size\n",
    "\n",
    "> $\\alpha$: penalty term for deviations in the carrying capacity relative to the largest measurement\n",
    "\n",
    "## Overview\n",
    "The data in this tutorial comes from the {doc} `QuickStart` tutorial\n",
    "\n",
    "In this tutorial we use the following:\n",
    "- `pht.analysis.LogGrowthModel`\n",
    "- `pht.analysis.TukeysOutlierRemover`\n",
    "- `pht.analysis.EdgeCorrector`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "41aad5fe28d7a986",
   "metadata": {},
   "outputs": [],
   "source": [
    "import phenotypic as pht\n",
    "\n",
    "meas = pht.data.load_quickstart_meas()\n",
    "meas.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "68c155eec5e97362",
   "metadata": {},
   "source": [
    "## Adding in metadata post-analysis for downstream processing\n",
    "\n",
    "The original naming rule for this data was\n",
    "`{Time}_{PlateSet}{Media}_{Replicate}`\n",
    "\n",
    "Based on this naming rule, let's add the remaining metadata. These methods are all from `pandas.DataFrame`.\n",
    "\n",
    "Note: This was the original naming rule, but it leads to some awkward splitting. It's usually better to separate independent variables with underscores and related variables with dashes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f6143822c465ebf7",
   "metadata": {
    "ExecuteTime": {
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     "start_time": "2025-11-20T05:06:54.212068Z"
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   "outputs": [
    {
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       "<style scoped>\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Metadata_ImageName</th>\n",
       "      <th>Metadata_Time</th>\n",
       "      <th>Metadata_PlateSet</th>\n",
       "      <th>Metadata_Media</th>\n",
       "      <th>Metadata_Replicate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2_1S_5</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>S</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
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       "      <th>2</th>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
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       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>S</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2_1S_5</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>S</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "  Metadata_ImageName  Metadata_Time  Metadata_PlateSet Metadata_Media  \\\n",
       "0             2_1S_5              2                  1              S   \n",
       "1             2_1S_5              2                  1              S   \n",
       "2             2_1S_5              2                  1              S   \n",
       "3             2_1S_5              2                  1              S   \n",
       "4             2_1S_5              2                  1              S   \n",
       "\n",
       "  Metadata_Replicate  \n",
       "0                  5  \n",
       "1                  5  \n",
       "2                  5  \n",
       "3                  5  \n",
       "4                  5  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We split the ImageName using string and then unpack that into three new columns in the dataframe\n",
    "meas[[\"Metadata_Time\", \"Metadata_SetMedia\", \"Metadata_Replicate\"]] = meas[\n",
    "    \"Metadata_ImageName\"\n",
    "].str.split(\"_\", expand=True)\n",
    "\n",
    "# Lets now split the {PlateSet}{Media} into different columns too\n",
    "meas[[\"Metadata_PlateSet\", \"Metadata_Media\"]] = meas[\"Metadata_SetMedia\"].str.split(\n",
    "    \"\", expand=True\n",
    ")[[1, 2]]\n",
    "\n",
    "# Time is a number, but because we split it from its name we need to convert it to the proper datatype\n",
    "meas[\"Metadata_Time\"] = meas[\"Metadata_Time\"].astype(int)\n",
    "meas[\"Metadata_PlateSet\"] = meas[\"Metadata_PlateSet\"].astype(int)\n",
    "\n",
    "# Lets see our newest changes\n",
    "meas[\n",
    "    [\n",
    "        \"Metadata_ImageName\",\n",
    "        \"Metadata_Time\",\n",
    "        \"Metadata_PlateSet\",\n",
    "        \"Metadata_Media\",\n",
    "        \"Metadata_Replicate\",\n",
    "    ]\n",
    "].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d92ff0b2fbe10a21",
   "metadata": {},
   "source": [
    "## Adding in metadata like strain name\n",
    "\n",
    "While you can add the metadata per-image, its necessary to add it in post-extraction for things like colony strain names. To add in metadata like the strain name for each column to your data, we'll use table joining.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "accd64b774731d7d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-11-20T05:06:54.316209Z",
     "start_time": "2025-11-20T05:06:54.312815Z"
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   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Metadata_PlateSet</th>\n",
       "      <th>Grid_SectionNum</th>\n",
       "      <th>Metadata_StrainName</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>SYNTH-00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>SYNTH-01</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>SYNTH-02</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>SYNTH-03</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>SYNTH-04</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>1</td>\n",
       "      <td>91</td>\n",
       "      <td>SYNTH-91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>1</td>\n",
       "      <td>92</td>\n",
       "      <td>SYNTH-92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>1</td>\n",
       "      <td>93</td>\n",
       "      <td>SYNTH-93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>1</td>\n",
       "      <td>94</td>\n",
       "      <td>SYNTH-94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>1</td>\n",
       "      <td>95</td>\n",
       "      <td>SYNTH-95</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>96 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Metadata_PlateSet  Grid_SectionNum Metadata_StrainName\n",
       "0                   1                0            SYNTH-00\n",
       "1                   1                1            SYNTH-01\n",
       "2                   1                2            SYNTH-02\n",
       "3                   1                3            SYNTH-03\n",
       "4                   1                4            SYNTH-04\n",
       "..                ...              ...                 ...\n",
       "91                  1               91            SYNTH-91\n",
       "92                  1               92            SYNTH-92\n",
       "93                  1               93            SYNTH-93\n",
       "94                  1               94            SYNTH-94\n",
       "95                  1               95            SYNTH-95\n",
       "\n",
       "[96 rows x 3 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Lets generate a synthetic table of strain names\n",
    "import pandas as pd\n",
    "\n",
    "# It's important to use the same names as the measurement dataframe\n",
    "synth_names = pd.DataFrame(\n",
    "    data={\n",
    "        \"Metadata_PlateSet\": 1,\n",
    "        \"Grid_SectionNum\": range(96),\n",
    "        \"Metadata_StrainName\": [f\"SYNTH-{idx:02d}\" for idx in range(96)],\n",
    "    }\n",
    ")\n",
    "\n",
    "synth_names"
   ]
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       "      <th></th>\n",
       "      <th>Metadata_FileSuffix</th>\n",
       "      <th>Metadata_BitDepth</th>\n",
       "      <th>Metadata_ImageType</th>\n",
       "      <th>Metadata_ImageName</th>\n",
       "      <th>ObjectLabel</th>\n",
       "      <th>Bbox_CenterRR</th>\n",
       "      <th>Bbox_CenterCC</th>\n",
       "      <th>Bbox_MinRR</th>\n",
       "      <th>Bbox_MinCC</th>\n",
       "      <th>Bbox_MaxRR</th>\n",
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       "      <th>Metadata_Media</th>\n",
       "      <th>Metadata_StrainName</th>\n",
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       "      <th>0</th>\n",
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       "      <th>1</th>\n",
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       "      <td>2_1S_5</td>\n",
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       "      <td>464</td>\n",
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       "      <td>0.049686</td>\n",
       "      <td>0.131528</td>\n",
       "      <td>2.861581</td>\n",
       "      <td>3.057672</td>\n",
       "      <td>2</td>\n",
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       "      <td>1</td>\n",
       "      <td>S</td>\n",
       "      <td>SYNTH-02</td>\n",
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       "      <th>2</th>\n",
       "      <td>.jpg</td>\n",
       "      <td>8</td>\n",
       "      <td>GridImage</td>\n",
       "      <td>2_1S_5</td>\n",
       "      <td>3</td>\n",
       "      <td>152.518557</td>\n",
       "      <td>962.014356</td>\n",
       "      <td>122</td>\n",
       "      <td>934</td>\n",
       "      <td>185</td>\n",
       "      <td>...</td>\n",
       "      <td>0.046833</td>\n",
       "      <td>0.115846</td>\n",
       "      <td>3.028543</td>\n",
       "      <td>3.214427</td>\n",
       "      <td>2</td>\n",
       "      <td>1S</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>S</td>\n",
       "      <td>SYNTH-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>.jpg</td>\n",
       "      <td>8</td>\n",
       "      <td>GridImage</td>\n",
       "      <td>2_1S_5</td>\n",
       "      <td>4</td>\n",
       "      <td>152.439723</td>\n",
       "      <td>1610.904644</td>\n",
       "      <td>125</td>\n",
       "      <td>1589</td>\n",
       "      <td>182</td>\n",
       "      <td>...</td>\n",
       "      <td>0.045290</td>\n",
       "      <td>0.116357</td>\n",
       "      <td>4.114455</td>\n",
       "      <td>4.538226</td>\n",
       "      <td>2</td>\n",
       "      <td>1S</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>S</td>\n",
       "      <td>SYNTH-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>.jpg</td>\n",
       "      <td>8</td>\n",
       "      <td>GridImage</td>\n",
       "      <td>2_1S_5</td>\n",
       "      <td>5</td>\n",
       "      <td>156.673430</td>\n",
       "      <td>802.163285</td>\n",
       "      <td>129</td>\n",
       "      <td>779</td>\n",
       "      <td>185</td>\n",
       "      <td>...</td>\n",
       "      <td>0.043493</td>\n",
       "      <td>0.113999</td>\n",
       "      <td>2.941698</td>\n",
       "      <td>3.139710</td>\n",
       "      <td>2</td>\n",
       "      <td>1S</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>S</td>\n",
       "      <td>SYNTH-04</td>\n",
       "    </tr>\n",
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       "<p>5 rows × 178 columns</p>\n",
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      "text/plain": [
       "  Metadata_FileSuffix  Metadata_BitDepth Metadata_ImageType  \\\n",
       "0                .jpg                  8          GridImage   \n",
       "1                .jpg                  8          GridImage   \n",
       "2                .jpg                  8          GridImage   \n",
       "3                .jpg                  8          GridImage   \n",
       "4                .jpg                  8          GridImage   \n",
       "\n",
       "  Metadata_ImageName  ObjectLabel  Bbox_CenterRR  Bbox_CenterCC  Bbox_MinRR  \\\n",
       "0             2_1S_5            1     143.066954     638.928742         116   \n",
       "1             2_1S_5            2     150.888348     489.121803         122   \n",
       "2             2_1S_5            3     152.518557     962.014356         122   \n",
       "3             2_1S_5            4     152.439723    1610.904644         125   \n",
       "4             2_1S_5            5     156.673430     802.163285         129   \n",
       "\n",
       "   Bbox_MinCC  Bbox_MaxRR  ...  ColorHSV_BrightnessStdDev  \\\n",
       "0         616         171  ...                   0.020981   \n",
       "1         464         182  ...                   0.049686   \n",
       "2         934         185  ...                   0.046833   \n",
       "3        1589         182  ...                   0.045290   \n",
       "4         779         185  ...                   0.043493   \n",
       "\n",
       "   ColorHSV_BrightnessCoeffVar  ColorLab_ChromaEstimatedMean  \\\n",
       "0                     0.068122                      2.324505   \n",
       "1                     0.131528                      2.861581   \n",
       "2                     0.115846                      3.028543   \n",
       "3                     0.116357                      4.114455   \n",
       "4                     0.113999                      2.941698   \n",
       "\n",
       "   ColorLab_ChromaEstimatedMedian  Metadata_Time  Metadata_SetMedia  \\\n",
       "0                        2.412023              2                 1S   \n",
       "1                        3.057672              2                 1S   \n",
       "2                        3.214427              2                 1S   \n",
       "3                        4.538226              2                 1S   \n",
       "4                        3.139710              2                 1S   \n",
       "\n",
       "   Metadata_Replicate  Metadata_PlateSet  Metadata_Media  Metadata_StrainName  \n",
       "0                   5                  1               S             SYNTH-03  \n",
       "1                   5                  1               S             SYNTH-02  \n",
       "2                   5                  1               S             SYNTH-05  \n",
       "3                   5                  1               S             SYNTH-09  \n",
       "4                   5                  1               S             SYNTH-04  \n",
       "\n",
       "[5 rows x 178 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "meas = meas.merge(synth_names, on=[\"Metadata_PlateSet\", \"Grid_SectionNum\"], how=\"inner\")\n",
    "meas[\n",
    "    [\"Metadata_PlateSet\", \"Grid_SectionNum\", \"Metadata_StrainName\", \"Shape_Area\"]\n",
    "].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3a2c4eff667a966c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-11-20T05:06:54.738381Z",
     "start_time": "2025-11-20T05:06:54.733100Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Metadata_ImageName</th>\n",
       "      <th>Grid_SectionNum</th>\n",
       "      <th>Metadata_Media</th>\n",
       "      <th>Metadata_PlateSet</th>\n",
       "      <th>Metadata_Replicate</th>\n",
       "      <th>Metadata_StrainName</th>\n",
       "      <th>Metadata_Time</th>\n",
       "      <th>Shape_Area</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2_1S_5</td>\n",
       "      <td>0</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>SYNTH-00</td>\n",
       "      <td>2</td>\n",
       "      <td>2295.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>2_1S_6</td>\n",
       "      <td>0</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>SYNTH-00</td>\n",
       "      <td>2</td>\n",
       "      <td>2420.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>2_1S_7</td>\n",
       "      <td>0</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>SYNTH-00</td>\n",
       "      <td>2</td>\n",
       "      <td>2751.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>3_1S_5</td>\n",
       "      <td>0</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>SYNTH-00</td>\n",
       "      <td>3</td>\n",
       "      <td>2676.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>401</th>\n",
       "      <td>3_1S_6</td>\n",
       "      <td>0</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>SYNTH-00</td>\n",
       "      <td>3</td>\n",
       "      <td>2877.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>485</th>\n",
       "      <td>3_1S_7</td>\n",
       "      <td>0</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>SYNTH-00</td>\n",
       "      <td>3</td>\n",
       "      <td>3206.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>568</th>\n",
       "      <td>3_1S_8</td>\n",
       "      <td>0</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>SYNTH-00</td>\n",
       "      <td>3</td>\n",
       "      <td>2840.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>651</th>\n",
       "      <td>4_1S_5</td>\n",
       "      <td>0</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>SYNTH-00</td>\n",
       "      <td>4</td>\n",
       "      <td>2948.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>740</th>\n",
       "      <td>4_1S_6</td>\n",
       "      <td>0</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>SYNTH-00</td>\n",
       "      <td>4</td>\n",
       "      <td>3413.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>826</th>\n",
       "      <td>4_1S_7</td>\n",
       "      <td>0</td>\n",
       "      <td>S</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>SYNTH-00</td>\n",
       "      <td>4</td>\n",
       "      <td>3535.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Metadata_ImageName  Grid_SectionNum Metadata_Media  Metadata_PlateSet  \\\n",
       "8               2_1S_5                0              S                  1   \n",
       "89              2_1S_6                0              S                  1   \n",
       "171             2_1S_7                0              S                  1   \n",
       "315             3_1S_5                0              S                  1   \n",
       "401             3_1S_6                0              S                  1   \n",
       "485             3_1S_7                0              S                  1   \n",
       "568             3_1S_8                0              S                  1   \n",
       "651             4_1S_5                0              S                  1   \n",
       "740             4_1S_6                0              S                  1   \n",
       "826             4_1S_7                0              S                  1   \n",
       "\n",
       "    Metadata_Replicate Metadata_StrainName  Metadata_Time  Shape_Area  \n",
       "8                    5            SYNTH-00              2      2295.0  \n",
       "89                   6            SYNTH-00              2      2420.0  \n",
       "171                  7            SYNTH-00              2      2751.0  \n",
       "315                  5            SYNTH-00              3      2676.0  \n",
       "401                  6            SYNTH-00              3      2877.0  \n",
       "485                  7            SYNTH-00              3      3206.0  \n",
       "568                  8            SYNTH-00              3      2840.0  \n",
       "651                  5            SYNTH-00              4      2948.0  \n",
       "740                  6            SYNTH-00              4      3413.0  \n",
       "826                  7            SYNTH-00              4      3535.0  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Lets isolate the measurements we care about\n",
    "meas = meas[\n",
    "    [\n",
    "        \"Metadata_ImageName\",\n",
    "        \"Grid_SectionNum\",\n",
    "        \"Metadata_Media\",\n",
    "        \"Metadata_PlateSet\",\n",
    "        \"Metadata_Replicate\",\n",
    "        \"Metadata_StrainName\",\n",
    "        \"Metadata_Time\",\n",
    "        \"Shape_Area\",\n",
    "    ]\n",
    "].sort_values(by=[\"Metadata_StrainName\", \"Metadata_Time\"])\n",
    "\n",
    "meas[\"Metadata_Time\"] = meas[\"Metadata_Time\"].astype(\n",
    "    int\n",
    ")  # Ensures that the time column is numeric\n",
    "meas.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79712a7d912dc2ed",
   "metadata": {},
   "source": [
    "## Filtering and correction\n",
    "\n",
    "In automated image processing, depending on the scene, objects can be:\n",
    "- oversegmented (some of the background is detected along with the object)\n",
    "- undersegmented (some of the object is not detected with the object)\n",
    "- noise that was detected as an object\n",
    "\n",
    "Other factors that may mess with our growth curves include stochastic biological noise or experimental error as well. To refine the data to reflect the true growth kinetics better, we can apply tukey's outlier and our edge correction method on the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "9c4e79777e84115b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-11-20T05:06:55.110926Z",
     "start_time": "2025-11-20T05:06:54.805888Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning: Displaying only first 20 of 451 groups\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(<Figure size 1000x1200 with 1 Axes>,\n",
       " <Axes: xlabel='Shape_Area', ylabel='Group'>)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1200 with 1 Axes>"
      ]
     },
     "jetTransient": {
      "display_id": null
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from phenotypic.analysis import TukeyOutlierRemover\n",
    "\n",
    "tukey_outlier_analysis = TukeyOutlierRemover(\n",
    "    on=\"Shape_Area\", groupby=[\"Metadata_StrainName\", \"Metadata_Time\"]\n",
    ")\n",
    "\n",
    "tukey_results = tukey_outlier_analysis.analyze(meas)\n",
    "\n",
    "tukey_outlier_analysis.show(collapsed=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d0096fde9dcb246",
   "metadata": {},
   "source": "> Since there's a large amount of groups and they can't all be displayed, only the first 20 are displayed, but this can be changed."
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "257b19afce54000c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-11-20T05:06:55.323878Z",
     "start_time": "2025-11-20T05:06:55.139861Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<Figure size 1000x600 with 1 Axes>,\n",
       " <Axes: title={'center': 'Edge Correction (Top N=3, p=0.05)'}, xlabel='Shape_Area'>)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "jetTransient": {
      "display_id": null
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from phenotypic.analysis import EdgeCorrector\n",
    "\n",
    "edge_correcter = EdgeCorrector(\n",
    "    on=\"Shape_Area\",\n",
    "    groupby=[\"Metadata_PlateSet\", \"Metadata_Media\", \"Metadata_Replicate\"],\n",
    "    time_label=\"Metadata_Time\",\n",
    ")\n",
    "\n",
    "edge_corrected = edge_correcter.analyze(tukey_results)\n",
    "edge_correcter.show(collapsed=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b54dfc062f2ac3ce",
   "metadata": {},
   "source": [
    "## Fit model\n",
    "\n",
    "**New parameters:**\n",
    "> `lam`: The regularization factor for specific growth rate\n",
    "> `alpha`: The penalty term for the relative deviation from the max of the carrying capacity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e5c136850a42f1b9",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-11-20T05:06:57.755624Z",
     "start_time": "2025-11-20T05:06:55.328543Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Metadata_StrainName</th>\n",
       "      <th>LogGrowthModel_r</th>\n",
       "      <th>LogGrowthModel_K</th>\n",
       "      <th>LogGrowthModel_N0</th>\n",
       "      <th>LogGrowthModel_µmax</th>\n",
       "      <th>LogGrowthModel_Kmax</th>\n",
       "      <th>LogGrowthModel_NumSamples</th>\n",
       "      <th>LogGrowthModel_OptimizerLoss</th>\n",
       "      <th>LogGrowthModel_OptimizerStatus</th>\n",
       "      <th>LogGrowthModel_MAE</th>\n",
       "      <th>LogGrowthModel_MSE</th>\n",
       "      <th>LogGrowthModel_RMSE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SYNTH-00</td>\n",
       "      <td>0.882962</td>\n",
       "      <td>3803.000000</td>\n",
       "      <td>731.050357</td>\n",
       "      <td>839.475765</td>\n",
       "      <td>3803.00</td>\n",
       "      <td>5</td>\n",
       "      <td>359014.371364</td>\n",
       "      <td>2</td>\n",
       "      <td>111.664757</td>\n",
       "      <td>19690.330182</td>\n",
       "      <td>140.322237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SYNTH-01</td>\n",
       "      <td>1.062408</td>\n",
       "      <td>3262.010706</td>\n",
       "      <td>363.235125</td>\n",
       "      <td>866.396198</td>\n",
       "      <td>3414.25</td>\n",
       "      <td>5</td>\n",
       "      <td>348964.083825</td>\n",
       "      <td>2</td>\n",
       "      <td>212.846392</td>\n",
       "      <td>51327.417300</td>\n",
       "      <td>226.555550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>SYNTH-02</td>\n",
       "      <td>0.861747</td>\n",
       "      <td>3321.531212</td>\n",
       "      <td>663.466829</td>\n",
       "      <td>715.579876</td>\n",
       "      <td>3341.25</td>\n",
       "      <td>5</td>\n",
       "      <td>285067.340599</td>\n",
       "      <td>2</td>\n",
       "      <td>100.423547</td>\n",
       "      <td>18802.656973</td>\n",
       "      <td>137.122781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SYNTH-03</td>\n",
       "      <td>0.903318</td>\n",
       "      <td>2963.500000</td>\n",
       "      <td>347.147868</td>\n",
       "      <td>669.245998</td>\n",
       "      <td>2963.50</td>\n",
       "      <td>5</td>\n",
       "      <td>155206.330925</td>\n",
       "      <td>2</td>\n",
       "      <td>63.041344</td>\n",
       "      <td>5242.347575</td>\n",
       "      <td>72.404058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SYNTH-04</td>\n",
       "      <td>0.885146</td>\n",
       "      <td>3032.000000</td>\n",
       "      <td>593.850922</td>\n",
       "      <td>670.940923</td>\n",
       "      <td>3032.00</td>\n",
       "      <td>5</td>\n",
       "      <td>236673.126701</td>\n",
       "      <td>2</td>\n",
       "      <td>93.985535</td>\n",
       "      <td>14387.186777</td>\n",
       "      <td>119.946600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Metadata_StrainName  LogGrowthModel_r  LogGrowthModel_K  LogGrowthModel_N0  \\\n",
       "0            SYNTH-00          0.882962       3803.000000         731.050357   \n",
       "1            SYNTH-01          1.062408       3262.010706         363.235125   \n",
       "2            SYNTH-02          0.861747       3321.531212         663.466829   \n",
       "3            SYNTH-03          0.903318       2963.500000         347.147868   \n",
       "4            SYNTH-04          0.885146       3032.000000         593.850922   \n",
       "\n",
       "   LogGrowthModel_µmax  LogGrowthModel_Kmax  LogGrowthModel_NumSamples  \\\n",
       "0           839.475765              3803.00                          5   \n",
       "1           866.396198              3414.25                          5   \n",
       "2           715.579876              3341.25                          5   \n",
       "3           669.245998              2963.50                          5   \n",
       "4           670.940923              3032.00                          5   \n",
       "\n",
       "   LogGrowthModel_OptimizerLoss  LogGrowthModel_OptimizerStatus  \\\n",
       "0                 359014.371364                               2   \n",
       "1                 348964.083825                               2   \n",
       "2                 285067.340599                               2   \n",
       "3                 155206.330925                               2   \n",
       "4                 236673.126701                               2   \n",
       "\n",
       "   LogGrowthModel_MAE  LogGrowthModel_MSE  LogGrowthModel_RMSE  \n",
       "0          111.664757        19690.330182           140.322237  \n",
       "1          212.846392        51327.417300           226.555550  \n",
       "2          100.423547        18802.656973           137.122781  \n",
       "3           63.041344         5242.347575            72.404058  \n",
       "4           93.985535        14387.186777           119.946600  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "log_model = pht.analysis.LogGrowthModel(\n",
    "    on=\"Shape_Area\",\n",
    "    groupby=[\"Metadata_StrainName\"],\n",
    "    agg_func=\"mean\",\n",
    "    time_label=\"Metadata_Time\",\n",
    "    lam=0.5,\n",
    "    alpha=2.0,\n",
    "    n_jobs=-1,\n",
    ")\n",
    "model_fit = log_model.analyze(meas)\n",
    "model_fit.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56e70c16ce8c018e",
   "metadata": {},
   "source": [
    "**Parameters:**\n",
    "- `on`: What column to measure on\n",
    "- `groupby`: What columns to form groups on. See also: `pandas.DataFrame.groupby()`\n",
    "- `agg_func`: How to aggregate replicate time points. Default is \"mean\". For other options see: `pandas.DataFrame.agg()`\n",
    "- `time_label`: What column is to use for the time measurement. This should be added by the user either as metadata or externally."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce1b6641627cd698",
   "metadata": {},
   "source": [
    "## Display results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a3cee0eaf25a5c5c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-11-20T05:06:58.224105Z",
     "start_time": "2025-11-20T05:06:57.873362Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<Figure size 600x400 with 1 Axes>, <Axes: title={'center': 'mean±SE'}>)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "jetTransient": {
      "display_id": null
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "log_model.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "1ac27f553fa68af1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-11-20T05:06:58.331105Z",
     "start_time": "2025-11-20T05:06:58.231900Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<Figure size 600x400 with 1 Axes>, <Axes: title={'center': 'mean±SE'}>)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "jetTransient": {
      "display_id": null
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "log_model.show(criteria={\"Metadata_StrainName\": [\"SYNTH-00\"]})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33b659c0ee55917a",
   "metadata": {},
   "source": [
    "If we want to display only one of the strains, we can use the criteria like above. You can specify which column you want to filter by as a key and provide the"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}