an.org 3.6 KB

poetry run emacs an.org

import tifffile as tff
import numpy as np
import aicsimageio
import matplotlib.pyplot as plt
import seaborn as sb
import impy
from pathlib import Path
import skimage
import scipy
import imageio
import pandas as pd

initial thumb folder clean up

cd "/home/dati/dt-evolv/data/2022-11-16/13401/TimePoint_1"
cd "/home/dati/dt-evolv/data/2022-11-16/13401/TimePoint_1"
mkdir -p thumbs
fd _thumb -0 | xargs -0 mv -t ./thumbs
pwd

single image test

cd "/home/dati/dt-evolv/data/2022-11-16/13401/TimePoint_1"
fp2 = "/home/dati/dt-evolv/data/2022-11-16/13401/TimePoint_1/6w-20Xph1-SpikeTest6-DA_A01_s1_w2B3DEDFEB-FB52-4D83-8176-CC090AD62AC4.tif"
fp1 = "/home/dati/dt-evolv/data/2022-11-16/13401/TimePoint_1/6w-20Xph1-SpikeTest6-DA_A01_s1_w19A3DA0A6-B9DD-475E-ABED-27415F9DE6EB.tif"
i1 = impy.imread(fp1)
i2 = impy.imread(fp2)
skimage.io.imshow(i2)

export same as for 2022-06-22

p = Path(".")
out1 = Path("./1024")
out2 = Path("./512")
out1.mkdir()
out2.mkdir()
import utils
p = Path(".")
s_in = ["A01", "B01", "A02", "A03"]
s_out = ["A01", "B01", "A02", "A03"]

for ins, outs in zip(s_in, s_out):
    for i in range(1, 901):
        print(ins, outs, i)
        fp1 = sorted(p.glob(f"*{ins}*s{i}_w1*"))[0]
        fp2 = sorted(p.glob(f"*{ins}*s{i}_w2*"))[0]
        c1 = tff.imread(fp1)
        c2 = tff.imread(fp2)
        # clip1 = int(utils.bg(c1)[0])
        clip2 = int(utils.bg(c2)[0])
        # c1r = skimage.util.img_as_ubyte(skimage.exposure.rescale_intensity(c1.clip(clip1, c1.max() * 0.95)))
        # c2r = skimage.util.img_as_ubyte(skimage.exposure.rescale_intensity(c2.clip(clip2, c2.max() * 0.95)))
        c1r = skimage.util.img_as_ubyte((c1))
        c2r = skimage.util.img_as_ubyte(skimage.exposure.rescale_intensity(c2.clip(clip2,65000)))
        cc = np.dstack((c2r, c1r, np.zeros_like(c1r)))
        cc = skimage.transform.downscale_local_mean(cc, (4, 4, 1))
        imageio.imwrite(out2 / f"{outs}_s{i}.png", cc)

New export

cd "/home/dati/dt-evolv/data/2022-11-16/13401/TimePoint_1"
p = Path(".")
out2 = Path("./512n")
out2.mkdir()
import utils
p = Path(".")
s_in = ["A01", "B01", "A02", "A03"]
s_out = ["A01", "B01", "A02", "A03"]

for ins, outs in zip(s_in, s_out):
    print(ins)
    for i in range(1, 901):
        fp1 = sorted(p.glob(f"*{ins}*s{i}_w1*"))[0]
        fp2 = sorted(p.glob(f"*{ins}*s{i}_w2*"))[0]
        c1 = tff.imread(fp1)
        c2 = tff.imread(fp2)
        c1 = skimage.transform.downscale_local_mean(c1, 4)
        c2 = skimage.transform.downscale_local_mean(c2, 4)
        clip1 = int(np.sum(utils.bg(c1)))
        clip2 = int(np.sum(utils.bg(c2)))
        c1r = skimage.util.img_as_ubyte(skimage.exposure.rescale_intensity(c1.clip(clip1, c1.max() * 0.95)))
        c2r = skimage.util.img_as_ubyte(skimage.exposure.rescale_intensity(c2.clip(clip2, c2.max() * 0.95)))
        cc = np.dstack((c2r, c1r, np.zeros_like(c1r)))
        imageio.imwrite(out2 / f"{outs}_s{i}.png", cc)