Skip to main content

A Python-based GUI for Histological E-data Registration in Brain Space

Project description

HERBS

A Python-based GUI for Histological E-data Registration in Brain Space

HERBS is an open source, extensible, intuitive and interactive software platform for image visualisation and image registration. Where the image registration is the process of identifying a spatial transformation that maps images to a template such that corresponding anatomical structures are optimally aligned, or in other words, a voxel-wise ‘correspondence’ is established between the images and template.

HERBS has been tested on Windows 10, MacOSx (Big Sur - Monterey), Linux (Kubuntu 18.04, Ubuntu 22.04 LTS), and as a python application, it should run in all environments supporting python 3.8.10-3.10.4 / 3.9.0 with PyQt5 >= 5.14.2 as a GUI framework. For details, please see HERBS CookBook (on going).

HERBS provides users:

  • 2D and 3D visualisation of brain atlas volume data and arbitrary slicing.
  • Image registration with interactive local elastic deformation methods in current version.
  • 2D and 3D visualisation of user defined data.

Install

$ pip install herbs

Please install the newest version of HERBS.

Usage

import herbs
herbs.run_herbs()

After running the above scripts, a GUI window will pop up. Users can download atlas and upload images for further process,

For more information, please read HERBS CookBook (on going) or check the Tutorial folder for corresponding functionalities.

Atlas Storage

  • Do not store Atlases inside HERBS folder.
When downloading Atlases, HERBS asks users to select the folder to store the atlas. Please choose a folder other than HERBS folder.
  • Save different Atlas in different folders.
When downloading an atlas other than the one you already have, please store it in another folder.

Some Pre-Requirement Issues

  • In order to run HERBS properly, 64 bit operating systems and 64 bit Python are required.

  • 3D visualisation in HERBS depends on OpenGL, if you face to the problem that no OpenGL is installed on your machine, please see (https://www.opengl.org) to download and install accordingly.

  • For the current version of HERBS, Python is required to be installed. Please see (https://www.python.org) for downloading.

  • If you would like to install HERBS through terminal, pip is required.

    • Check if pip is installed, pip --version or pip help.
    • Use python3 -m ensurepip for MacOS to install pip.
    • Use curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py to download requiring file for installing pip on Windows and python get-pip.py to install pip.
    • Please update pip to the newest version before installing HERBS.
  • We strongly recommend users to use Python and install packages with virtual environment. For no-coders, we strongly recommend to use IDE to create environment at the moment. A desktop app of HERBS is coming soon.

Some Dependencies Conflict Issues

  • The initial of test of HERBS was carried on Windows 10 (one user claimed he had a Windows 11 before, but it turned out to be a Windows 10 at the end), MacOSx (Big Sur - Monterey) and Linux (Kubuntu 18.04, Ubuntu 22.04 LTS) with Python==3.8.10 and the corresponding dependencies listed in CookBook.

  • The current tests showed that different version of Python accepts different versions of dependencies. For example, PyQt5 == 5.14.2 works when Python>=3.8.10, PyQt5 >= 5.15.0 works when Python==3.9 and PyQt5 >= 5.15.5 works when Python==3.10 on a Windows 10.

  • HERBS depends on Numba and the valid version for Numba is highly depends on the version of Numpy. For example, Numba == 0.54 only works when Numpy <= 1.20 and Numba == 0.55 only works when Numpy <= 1.21 and so on.

  • If you face to these kinds of problems, the easiest way to install HERBS is to create a new environment and install HERBS without previous installation of any dependencies.

Please report your issues: https://github.com/JingyiGF/HERBS/issues. Please have a good description (maybe a screenshot or an error message). Any feedback welcome!

Please feel free to start any discussion: https://github.com/JingyiGF/HERBS/discussions.

Finally

HERBS is 'always' in development, please check updates every time before you use it.

Hope this tool makes your amazing research life more tasty :-)

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

herbs-0.1.0.tar.gz (329.8 kB view details)

Uploaded Source

Built Distribution

herbs-0.1.0-py3-none-any.whl (411.9 kB view details)

Uploaded Python 3

File details

Details for the file herbs-0.1.0.tar.gz.

File metadata

  • Download URL: herbs-0.1.0.tar.gz
  • Upload date:
  • Size: 329.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.10

File hashes

Hashes for herbs-0.1.0.tar.gz
Algorithm Hash digest
SHA256 5bfcb2bea0a0ac83e74a048c57e6f019f5e77d06ba27d3c8120fef132dc9bd81
MD5 c92c05a4df2cea1ba46f365838c29320
BLAKE2b-256 dc728cfd4935fa002d7f86e1b47635e49461c006605db49042a30d7391fe1b46

See more details on using hashes here.

File details

Details for the file herbs-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: herbs-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 411.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.10

File hashes

Hashes for herbs-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f1ac484a291291e389d3fe1ec228b47c1e4794accf84356975914ddb999277f1
MD5 82a910c80b3261b0d63057f11ddeb8aa
BLAKE2b-256 41ccbc8c265c78f4735b61f10003bbd5b490096241695f7b040768bbb27801f7

See more details on using hashes here.

Supported by

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