Yu-AnChen

javascript:(function(){
 let infotab = document.getElementById('infoTab').children[0].children[2];
 let channels = infotab.children[0].children[1].children[0].lastElementChild.textContent.trim().split(', ');
 let channelsliders = document.getElementById('channel_sliders').children[0];
 for(i=0;i<channels.length;i++) {
     let p = document.createTextNode(channels[i]);
     let br = document.createElement('br');
     channelsliders.children[i].insertBefore(br,channelsliders.children[i].firstChild);
     channelsliders.children[i].insertBefore(p,channelsliders.children[i].firstChild);
 }

Yu-AnChen

import argparse
import json
import sys

from omero.gateway import BlitzGateway
from omero.cli import cli_login
from omero.model import StatsInfoI
from omero.rtypes import rdouble

Yu-AnChen

# @File(label="Select a slide to process") filename
# @File(label="Select the output location", style="directory") output_dir
# @String(label="Experiment name (base name for output files)") experiment_name
# @Float(label="Flat field smoothing parameter (0 for automatic)", value=0.1) lambda_flat
# @Float(label="Dark field smoothing parameter (0 for automatic)", value=0.01) lambda_dark

# Takes a slide (or other multi-series BioFormats-compatible file set) and
# generates flat- and dark-field correction profile images with BaSiC. The
# output format is two multi-series TIFF files (one for flat and one for dark)
# which is the input format used by Ashlar.

Yu-AnChen

import numpy as np
from matplotlib import colors
from matplotlib import pyplot as plt
from PIL import Image


def composite_channel(target, image, color, range_min, range_max):
    ''' Render _image_ in pseudocolor and composite into _target_
    Args:
        target: Numpy float32 array containing composition target image