Skip to main content

Python Image Sequence

Project description

pims: Python Image Sequence

What Problem Does PIMS Solve?

Scientific video can be packaged in various ways: familiar video formats like .AVI and .MOV, folders full of numbered images, or "stacks" of TIFF images. Each of these requires a separate Python module. And, once loaded, they have different methods for accessing individual images, looping through the images in bulk, accessing a specific range, or dealing with multidimensional files. PIMS can do all of these using a consistent interface, handling the differences between different inputs invisibly.

Formats readable by pims include:

  • Directories or zipfiles of still images (most formats, including TIFF, JPEG, PNG, BMP), and TIFF stacks
  • Microscope images supported by the Bio-formats project, including Leica, Nikon, Olympus, and Zeiss formats. Requires separate installation; see below.
  • Movie formats and codecs supported by ffmpeg, including AVI, QuickTime MOV, and H.264 (MP4). May require separate installation; see below.
  • CINE files from Vision Research cameras
  • SEQ files from NorPix StreamPix software

PIMS is based on readers by:

  • scikit-image
  • ffmpeg and PyAV (video formats such as AVI, MOV)
  • jpype (interface with Bio-formats)
  • Pillow (improved TIFF support)
  • tifffile (alterative TIFF support)
  • pims_nd2 (improved Nikon .nd2 support)
  • imageio (a multi-purpose reader package that reads and writes many formats)
  • moviepy (a Python module that supports video editing)
  • nd2reader (a Pure Python module for reading Nikon NIS Elements ND2 images and metadata)

Examples & Documentation

Everything is demonstrated in this IPython notebook.

Read the documentation for installation instructions, examples, and further reference.

Core Contributors

  • Daniel Allan founding contributor, slicing and iteration logic, basic readers, display tools
  • Thomas Caswell major refactor, abstract base class
  • Casper van der Wel bioformats readers, display tools
  • Thomas Dimiduk filetype-detecting dispatch logic

Support

This package was developed in part by Daniel Allan, as part of his PhD thesis work on microrheology in Robert L. Leheny's group at Johns Hopkins University in Baltimore, MD. The work was supported by the National Science Foundation under grant number CBET-1033985. Later work was supported by Brookhaven National Lab. Dan can be reached at dallan@bnl.gov.

This package was developed in part by Thomas A Caswell as part of his PhD thesis work in Sidney R Nagel's and Margaret L Gardel's groups at the University of Chicago, Chicago IL. This work was supported in part by NSF Grant DMR-1105145 and NSF-MRSEC DMR-0820054. Later work was supported by Brookhaven National Lab. Tom can be reached at tcaswell@gmail.com.

This package was developed in part by Casper van der Wel, as part of his PhD thesis work in Daniela Kraft's group at the Huygens-Kamerlingh-Onnes laboratory, Institute of Physics, Leiden University, The Netherlands. This work was supported by the Netherlands Organisation for Scientific Research (NWO/OCW).

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

scm_pims-0.7.1.tar.gz (89.8 kB view details)

Uploaded Source

Built Distribution

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

scm_pims-0.7.1-py3-none-any.whl (84.8 kB view details)

Uploaded Python 3

File details

Details for the file scm_pims-0.7.1.tar.gz.

File metadata

  • Download URL: scm_pims-0.7.1.tar.gz
  • Upload date:
  • Size: 89.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.7

File hashes

Hashes for scm_pims-0.7.1.tar.gz
Algorithm Hash digest
SHA256 8bd26c9ec78aba770569314b2480077a74ef79267a4c04505b69615314c3f684
MD5 4dfd05ffe9d78865c224290608eaf4ff
BLAKE2b-256 f058621282b94f6c04a28f042921f71cfe15dedcc431b63f16294a3c2d61af3f

See more details on using hashes here.

File details

Details for the file scm_pims-0.7.1-py3-none-any.whl.

File metadata

  • Download URL: scm_pims-0.7.1-py3-none-any.whl
  • Upload date:
  • Size: 84.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.7

File hashes

Hashes for scm_pims-0.7.1-py3-none-any.whl
Algorithm Hash digest
SHA256 f4f25d7768bfa2d3939de8df832623db5bffa4a14bd6b78376c7ba7e7f65f116
MD5 72b63993b81f883437efe29bd9fe913c
BLAKE2b-256 1e439c5d6df0f420928a70ee29b934872bd023bf738a4ab9dbdab8ff61f27eac

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