{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "view-in-github",
    "colab_type": "text"
   },
   "source": [
    "<a href=\"https://colab.research.google.com/gist/bobleesj/54864ce5b2a6f0a4fd5ae1e5d5719b45/show4dstem_colab.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
   ]
  },
  {
   "cell_type": "code",
   "source": [
    "\n"
   ],
   "metadata": {
    "id": "9v3stk4rtjWV"
   },
   "id": "9v3stk4rtjWV",
   "execution_count": null,
   "outputs": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "UFA9PcrTth-d"
   },
   "source": [
    "# Show4DSTEM in Google Colab\n",
    "\n",
    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/?url=https%3A%2F%2Fhuggingface.co%2Fdatasets%2Fbobleesj%2Fquantem-data%2Fresolve%2Fmain%2Fnotebooks%2Fshow4dstem_colab.ipynb)\n",
    "\n",
    "Open a 4D-STEM dataset in your browser - **no install, no GPU setup**. Runs on Colab's\n",
    "free runtime. Backend auto-detects; this sample uses the CPU/numpy path so it works on\n",
    "any runtime (CPU or GPU).\n"
   ],
   "id": "UFA9PcrTth-d"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "kf5G4BjLth-e"
   },
   "source": [
    "## 1. Install (one cell)\n"
   ],
   "id": "kf5G4BjLth-e"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "IdKh-J1Vth-f"
   },
   "outputs": [],
   "source": [
    "!pip install -U -i https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple \"quantem.widget>=0.0.1rc0\" huggingface_hub\n"
   ],
   "id": "IdKh-J1Vth-f"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "FWyzquw4th-f"
   },
   "source": [
    "## 2. Download a sample + open it\n"
   ],
   "id": "FWyzquw4th-f"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "nbE-phyvth-f"
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from quantem.widget import Show4DSTEM\n",
    "from huggingface_hub import snapshot_download\n",
    "\n",
    "root = snapshot_download(\"bobleesj/quantem-data\", repo_type=\"dataset\",\n",
    "                         allow_patterns=[\"widget-tutorials/show4dstem/gold-512-bin4/full/*\"])\n",
    "path = f\"{root}/widget-tutorials/show4dstem/gold-512-bin4/full\"\n",
    "data = np.load(f\"{path}/data.npy\")   # (512, 512, 48, 48) uint16, ~1.2 GB\n",
    "Show4DSTEM(data)\n"
   ],
   "id": "nbE-phyvth-f"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "dBHvEtxJth-f"
   },
   "source": [
    "**Interact:** drag the detector ROI (left) -> the virtual image (right) updates live.\n",
    "Drag the scan cursor on the virtual image -> the diffraction pattern follows your finger.\n",
    "\n",
    "To use your own data, upload an Arina `*_master.h5` and run\n",
    "`Show4DSTEM(load('your_master.h5', det_bin=2))` (`from quantem.widget import load`).\n"
   ],
   "id": "dBHvEtxJth-f"
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "name": "python"
  },
  "accelerator": "GPU",
  "colab": {
   "provenance": [],
   "gpuType": "T4",
   "include_colab_link": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}