{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "nanodrop-intro",
   "metadata": {},
   "source": "# Thermo Fisher NanoDrop 1000\n\nThe NanoDrop 1000 measures absorbance spectra from small-volume samples. Complete the [NanoDrop 1000 setup guide](setup.md) before connecting with PyLabRobot."
  },
  {
   "cell_type": "markdown",
   "id": "nanodrop-connect-heading",
   "metadata": {},
   "source": "## Connect"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "nanodrop-connect",
   "metadata": {},
   "outputs": [],
   "source": "from pylabrobot.thermo_fisher.nanodrop_1000 import ThermoFisherNanoDrop1000\n\nnanodrop = ThermoFisherNanoDrop1000()\nawait nanodrop.setup()"
  },
  {
   "cell_type": "markdown",
   "id": "nanodrop-blank-heading",
   "metadata": {},
   "source": "## Blank\n\nClean the pedestals, load the blank solution, lower the sampling arm, and acquire the blank."
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "nanodrop-blank",
   "metadata": {},
   "outputs": [],
   "source": "await nanodrop.take_blank(integration_ms=20)"
  },
  {
   "cell_type": "markdown",
   "id": "nanodrop-measure-heading",
   "metadata": {},
   "source": "## Measure a sample\n\nClean the pedestals, load the sample, lower the sampling arm, and measure absorbance. The result contains matching wavelength and absorbance lists."
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "nanodrop-measure",
   "metadata": {},
   "outputs": [],
   "source": "wavelengths, absorbance = await nanodrop.measure_absorbance(integration_ms=20)\n\npeak_index = max(range(len(absorbance)), key=absorbance.__getitem__)\nprint(f\"Peak absorbance: {absorbance[peak_index]:.3f} at {wavelengths[peak_index]:.1f} nm\")"
  },
  {
   "cell_type": "markdown",
   "id": "nanodrop-stop-heading",
   "metadata": {},
   "source": "## Disconnect"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "nanodrop-stop",
   "metadata": {},
   "outputs": [],
   "source": "await nanodrop.stop()"
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "name": "python",
   "version": "3.11.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}