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from imjoy import api

import pyclesperanto_prototype as cle

from skimage.io import imread, imsave, imshow
import matplotlib
import numpy as np

class ImJoyPlugin():
    async def setup(self):

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<config lang="json">
{
  "name": "ITK-VTK-Viewer",
  "type": "web-worker",
  "tags": [],
  "ui": "",
  "version": "0.1.2",
  "cover": "",
  "description": "This Plugin uses itk-vtk-viewer to visualize images in ImageJ.JS",
  "icon": "extension",

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//ImageJ macro making a movie (stack) of zooming on selected rectangle (ROI)
//v2 Eugene Katrukha katpyxa at gmail.com
//v2a Andrey Aristov: aaristov at pasteur.fr
requires("1.48h");

//check if there is rectangular selection
if(selectionType() ==0)
{
	sTitle=getTitle();
	sMovieTitle=sTitle+"_zoom_movie";

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import sys
import os
import errno
import time
import json
import glob
from base64 import b64decode
from watchdog.observers import Observer
from watchdog.events import FileSystemEventHandler

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<config lang="json">
{
  "name": "PycroManagerControl",
  "type": "native-python",
  "version": "0.1.0",
  "description": "Microscope control with PycroManager",
  "tags": [],
  "ui": "",
  "cover": "",
  "inputs": null,

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<docs lang="markdown">
# DevicePropertyBrowser
Device property browser for Micro-Manager

</docs>

<config lang="json">
{
  "name": "DevicePropertyBrowser",
  "type": "window",

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<docs lang="markdown">
[TODO: write documentation for this plugin.]
</docs>

<config lang="json">
{
  "name": "CompareImages",
  "type": "window",
  "tags": [],
  "ui": "",

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Try ImJoy: https://imjoy.io/

Documentation: https://imjoy.io/docs/

Basic Examples

• Image Recognition

• HPA-Classification

• ImageAnnotator

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name: Vitessce Image Viewer
description: Use vitessce-image-viewer in Jupyter notebooks with ImJoy Jupyter Extension
cite:
authors:
  - Wei OUYANG
badges:
  - label: Launch Binder
    icon: https://mybinder.org/badge_logo.svg
    url: https://mybinder.org/v2/gist/oeway/ebedc17c9ab1f6aa5eee181679d85b5f/master?filepath=vitessce-image-viewer-imjoy-demo.ipynb
  - label: Powered by ImJoy

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name: Dummy Zarr
description: A dummy zarr dataset
cite:
authors:
  - NO ONE
documentation: null
tags: [zarr]
files:
  - https://gist.githubusercontent.com/manzt/d16dbac0ea3adc3c7b9b61f54fa1f78d/raw/95854058512862accb0182d4a02f86a55ad19139/