GithubHelp home page GithubHelp logo

lseu-994 / brainrender Goto Github PK

View Code? Open in Web Editor NEW

This project forked from brainglobe/brainrender

0.0 0.0 0.0 289.52 MB

a python based software for visualization of neuroanatomical and morphological data.

Home Page: https://docs.brainrender.info/

License: BSD 3-Clause "New" or "Revised" License

Python 100.00%

brainrender's Introduction

brainrender

A user-friendly python library to create high-quality, 3D neuro-anatomical renderings combining data from publicly available brain atlases with user-generated experimental data.

Python Version PyPI tests codecov Downloads

   

Example gallery

From: Claudi et al. (2021) Visualizing anatomically registered data with brainrender. eLife

Documentation

brainrender is a project of the BrainGlobe Initiative, which is a collaborative effort to develop a suite of Python-based software tools for computational neuroanatomy. A comprehensive online documentation for brainrender can be found on the BrainGlobe website here.

Furthermore, an open-access journal article describing BrainRender has been published in eLife, available here.

Installation

From PyPI:

pip install brainrender

If you encounter any issues, please ask a question on the image.sc forum tagging your question with brainglobe.

Quickstart

import random

import numpy as np

from brainrender import Scene
from brainrender.actors import Points

def get_n_random_points_in_region(region, N):
    """
    Gets N random points inside (or on the surface) of a mesh
    """

    region_bounds = region.mesh.bounds()
    X = np.random.randint(region_bounds[0], region_bounds[1], size=10000)
    Y = np.random.randint(region_bounds[2], region_bounds[3], size=10000)
    Z = np.random.randint(region_bounds[4], region_bounds[5], size=10000)
    pts = [[x, y, z] for x, y, z in zip(X, Y, Z)]

    ipts = region.mesh.inside_points(pts).coordinates
    return np.vstack(random.choices(ipts, k=N))


# Display the Allen Brain mouse atlas.
scene = Scene(atlas_name="allen_mouse_25um", title="Cells in primary visual cortex")

# Display a brain region
primary_visual = scene.add_brain_region("VISp", alpha=0.2)

# Get a numpy array with (fake) coordinates of some labelled cells
coordinates = get_n_random_points_in_region(primary_visual, 2000)

# Create a Points actor
cells = Points(coordinates)

# Add to scene
scene.add(cells)

# Add label to the brain region
scene.add_label(primary_visual, "Primary visual cortex")

# Display the figure.
scene.render()

Citing brainrender

If you use brainrender in your scientific work, please cite:

Claudi, F., Tyson, A. L., Petrucco, L., Margrie, T.W., Portugues, R.,  Branco, T. (2021) "Visualizing anatomically registered data with Brainrender&quot; <i>eLife</i> 2021;10:e65751 [doi.org/10.7554/eLife.65751](https://doi.org/10.7554/eLife.65751)

BibTeX:

@article{Claudi2021,
author = {Claudi, Federico and Tyson, Adam L. and Petrucco, Luigi and Margrie, Troy W. and Portugues, Ruben and Branco, Tiago},
doi = {10.7554/eLife.65751},
issn = {2050084X},
journal = {eLife},
pages = {1--16},
pmid = {33739286},
title = {{Visualizing anatomically registered data with brainrender}},
volume = {10},
year = {2021}
}

Contributing

Contributions to brainrender are more than welcome. Please see the developers guide.

brainrender's People

Contributors

4iar avatar adamltyson avatar alessandrofelder avatar bendichter avatar carlocastoldi avatar fedeclaudi avatar guillaumelegoc avatar igortatarnikov avatar jingjie-li avatar k-meech avatar m-col avatar marcomusy avatar paulbrodersen avatar pre-commit-ci[bot] avatar raacampbell avatar rcpeene avatar robertodf avatar seankmartin avatar seblammers avatar vigji avatar willgraham01 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.