{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Inspecting 3D image data with pyclesperanto\n",
"This notebook demonstrates how to navigate through 3D images."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import pyclesperanto_prototype as cle\n",
"\n",
"import numpy as np\n",
"import matplotlib\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# Helper function for reading ImageJs ZIP file examples\n",
"import requests\n",
"import zipfile\n",
"from io import BytesIO\n",
"from tifffile import imread\n",
"\n",
"def remote_reader(url):\n",
" \"\"\"generator that returns the first numpy arrays representing \n",
" in a tif in a remote zip.\"\"\"\n",
" response = requests.get(url)\n",
" response.raise_for_status()\n",
" with zipfile.ZipFile(BytesIO(response.content)) as zf:\n",
" for path in zf.filelist:\n",
" with zf.open(path, \"r\") as f:\n",
" # f is a file-like object of type zipfile.ZipExtFile\n",
" # replace imread with any file-reader of your choice\n",
" # that accepts a file-like object as input \n",
" return imread(f)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"