Like “going from hand-drawn maps to Google Earth,” the Blue Brain Cell Atlas allows anyone to visualize every region in the mouse brain, cell-by-cell – and freely download data for new analyses and modelling.
The first digital 3D atlas of every cell in the mouse brain provides neuroscientists with previously unavailable information on major cell types, numbers and positions in all 737 brain regions – which will potentially accelerate progress in brain science massively. Released by EPFL’s Blue Brain Project and published in Frontiers in Neuroinformatics, the Blue Brain Cell Atlas integrates data from thousands of whole brain tissue stains into a comprehensive, interactive and dynamic online resource that can continuously be updated with new findings. This groundbreaking digital atlas can be used for analyzing and further modeling specific brain areas, and is a major step toward a full simulation of the rodent brain.
“Despite vast numbers of studies over the past century, cell numbers were still only available for 4% of mouse brain regions – and these estimates often varied by as much as three-fold,” says Blue Brain Project Founder and Director, Professor Henry Markram. “The Blue Brain Cell Atlas solves this problem by presenting the best estimates for even the smallest known region of the mouse brain.”
“Knowing the circuit components and how they are arranged is also an essential starting point for modelling the brain – just as demographic data are essential for modelling a country, for example,” explains lead author and creator of the Cell Atlas, Csaba Erö.
Previous brain atlases consist of stacks of images of stained brain slices. Some show precise cell positions for the entire brain, while others show particular cell types – but none turns this valuable data into numbers and positions of all the cells in the brain in the form of a digitally navigable atlas.
This revolutionary step took five years of carefully collecting and integrating thousands of stainings of brain tissue. Erö and colleagues relied mostly on all the imaging data made available from the Allen Institute for Brain Science and combined this with a large number of other anatomical studies to calculate and validate the major types, numbers, and positions of cells in each area of the mouse brain – including all the regions where cell data was never obtained before.
“Our Cell Atlas is like going from hand-drawn maps to digitized versions of satellite images of cities and geographical features – allowing us to navigate the brain the way Google Earth allows us to navigate the Earth,” says Blue Brain Section Manager, Marc-Oliver Gewaltig. “It’s 3D, it’s high resolution, it’s searchable, it’s navigable, it’s annotated, it’s user-friendly – and it fills a huge gap in our knowledge of 96% of the mouse’s brain regions.”
Freely available online, the Blue Brain Cell Atlas allows users to visualize all 737 brain regions and the cells they contain, and to download the region with their numbers and locations. It distinguishes excitatory, inhibitory and some other types of neurons – as well as major types of non-neuronal cells called glia, which insulate and protect neurons. These data are important for researchers trying to understand the structure and function of different brain regions or for building functional models of specific brain regions.
“It is also a great teaching aid: you can choose to display just the regions of interest and navigate through these down to the scale of individual cells, which are color-coded by the type of their morphology,” adds Gewaltig.
The Blue Brain Cell Atlas is also the first brain atlas that is dynamic – allowing researchers to contribute to and improve the atlas with any new data. “We can now move collaboratively towards the ground truth of what is inside the mouse brain,” explains Markram.
“Our message to brain researchers everywhere is: try it, use it, add data to it,” conclude the authors.
Please include a link to the original research article in your reporting: https://www.frontiersin.org/articles/10.3389/fninf.2018.00084/full
EPFL’s Blue Brain Project would like to thank the Allen Institute for Brain Science (alleninstitute.org) for the large array of publicly available data.
This work was funded by the EPFL Blue Brain Project Fund and the ETH Board Funding to the Blue Brain Project. The work has been performed as an in-kind contribution to the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 604102 (Human Brain Project) and the European Union’s Horizon 2020 Framework Programme for Research and Innovation under Grant Agreement No. 720270 (Human Brain Project SGA1).
Note: In a previous version of this document, the funding source was portrayed to be the European Union’s Horizon 2020 Framework Programme for Research and Innovation. This is not correct and has been corrected above. We apologize for the mistake.