Skip to main content

Bio image reading, metadata and some affine registration.

Project description

Pytest

ndbioimage - Work in progress

Exposes (bio) images as a numpy ndarray-like object, but without loading the whole image into memory, reading from the file only when needed. Some metadata is read and stored in an ome structure. Additionally, it can automatically calculate an affine transform that corrects for chromatic aberrations etc. and apply it on the fly to the image.

Currently, it supports imagej tif files, czi files, micromanager tif sequences and anything bioformats can handle.

Installation

pip install ndbioimage

Usage

  • Reading an image file and plotting the frame at channel=2, time=1
import matplotlib.pyplot as plt
from ndbioimage import Imread
with Imread('image_file.tif', axes='ctyx', dtype=int) as im:
    plt.imshow(im[2, 1])
  • Showing some image metadata
from ndbioimage import Imread
from pprint import pprint
with Imread('image_file.tif') as im:
    pprint(im)
  • Slicing the image without loading the image into memory
from ndbioimage import Imread
with Imread('image_file.tif', axes='cztyx') as im:
    sliced_im = im[1, :, :, 100:200, 100:200]

sliced_im is an instance of Imread which will load any image data from file only when needed

  • Converting (part) of the image to a numpy ndarray
from ndbioimage import Imread
import numpy as np
with Imread('image_file.tif', axes='cztyx') as im:
    array = np.asarray(im[0, 0])

Adding more formats

Readers for image formats subclass AbstractReader. When an image reader is imported, Imread will automatically recognize it and use it to open the appropriate file format. Image readers are required to implement the following methods:

  • staticmethod _can_open(path): return True if path can be opened by this reader
  • property ome: reads metadata from file and adds them to an OME object imported from the ome-types library
  • __frame__(self, c, z, t): return the frame at channel=c, z-slice=z, time=t from the file

Optional methods:

  • open(self): maybe open some file handle
  • close(self): close any file handles

Optional fields:

  • priority (int): Imread will try readers with a lower number first, default: 99
  • do_not_pickle (strings): any attributes that should not be included when the object is pickled, for example: any file handles

TODO

  • more image formats

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ndbioimage-2024.4.4.tar.gz (43.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ndbioimage-2024.4.4-py3-none-any.whl (48.0 kB view details)

Uploaded Python 3

File details

Details for the file ndbioimage-2024.4.4.tar.gz.

File metadata

  • Download URL: ndbioimage-2024.4.4.tar.gz
  • Upload date:
  • Size: 43.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for ndbioimage-2024.4.4.tar.gz
Algorithm Hash digest
SHA256 2d545381bd33b91d55ef8371d701b606f72115a8d241b9efe4b9773944df67b5
MD5 80477642274eb4d5d2a15af359660f62
BLAKE2b-256 2b4958b94c80fbcc501835c110d385daa6872503e47b8818c512d6632c1fcb38

See more details on using hashes here.

File details

Details for the file ndbioimage-2024.4.4-py3-none-any.whl.

File metadata

  • Download URL: ndbioimage-2024.4.4-py3-none-any.whl
  • Upload date:
  • Size: 48.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for ndbioimage-2024.4.4-py3-none-any.whl
Algorithm Hash digest
SHA256 95bf55fdcfa63b2f049ceef672e25ba89fd3e18a4488d843336dff6eef78da0e
MD5 fd0cc541275434aa4056e9d12802f1c7
BLAKE2b-256 af9fb9afa90498cfaeceead28605c4733f252de91fe4557b6363b542631aac1b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page