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Google released the most powerful 1 / 3 brain map of Drosophila, with 25000 neuron connections accurately located!

via:博客园     time:2020/1/23 18:37:35     readed:259

Source: Google Blog, etc

[new Zhiyuan guide]Previously, Google and Howard New Chi Yuen Mini Programs Learn more!

Scientists have long dreamed of understanding how the nervous system works by mapping the structure of a complete brain neural network.

In recent years, scientists have focused onThe brain of Drosophila

An important advantage of the Drosophila brain is its size:The brain of Drosophila is relatively small, with only about 100000 neuronsIn contrast, the mouse brain has 100 million neurons, and the human brain has 100 billion neurons

This makes it relatively easy to study the brain as a complete circuit.

Automatic brain reconstruction of Drosophila

Last August,Google announced the first automatic nanoscale reconstruction of the entire Drosophila brain, the reconstruction focuses on the individual shape of cells. (see new Zhiyuan report: shock! Google has automatically rebuilt the entire brain of the fruit fly: 40 trillion pixel image first public

However, this study did not reveal information about brain connectivity in Drosophila.

Today, Google and Howard (This is a highly detailed mapping of the neuronal connections in the Drosophila brain, and also includes a set of tools for visualization and analysis

1、 Covering 25000 neurons, the largest and most detailed map of Drosophila's brain ever

Researchers are being called The images, which cover 25000 neurons, make up about a third of the brain of a fruit fly by volume

The hemibrain data set contains the blue-green part of the Drosophila brain, which includes neurons involved in learning, navigation, olfaction, vision and many other functions.

But the effects are enormous, with half the brain including areas of interest to scientists

By tracking the curved path of neurons in the fly's brain, scientists have revealed how these cells connect and work together, such as those involved in navigation.

up to now,More than 20 million neural connections have been identified,This is the largest and most detailed map of Drosophila's brain everIt's also the largest synaptic resolution map of brain connections ever drawn (in all organisms).The team is expected to complete the mapping of the whole neural system connection group of Drosophila by 2022.

The goal of the project is to create a public resource that any scientist can use to advance their work. This is similar to the Drosophila genome released 20 years ago, which has become a basic tool in biology.

2、 Electron microscope imaging point by point, FFN automatic segmentation technology to speed up manual proofreading time

In order to overcome the challenge of building a hemi brain connection group, researchers have carried out research and development for more than ten years. In janelia, researchers developed a new method to stain the brains of flies, and then split the tissues into separate 20 micron thick slices.

Electron microscopy captures gray-scale images of the brain of Drosophila melanogaster. Then, humans (and trained algorithms) determine where each neuron starts and ends, giving each neuron a different color.

Then, we use the focused ion beam scanning electron microscope to conduct 8x8x8nm for each sliceThreeVoxel resolution imaging, these ion beams are customized for months of continuous operation. The researchers developed a computational method that spliced and aligned the raw data into a coherent, 26 trillion pixel 3D volume.

The electron microscope, designed by the researchers, can continuously run for several weeks to image every part of the brain of Drosophila

However, without accurate 3D reconstruction of neurons in the brain of Drosophila, it is impossible to generate connection groups from this type of imaging data.

In 2014, Google established a partnership with janelia, started to study the data of Drosophila brain, focused on Automatic 3D reconstruction, and worked together to establish connection groups.

After several iterations of technical development, researchers designed a method called FNN (flood filling networks), and applied it to reconstruct the whole half brain data set.

FNN segmentation (tracking) of neurons in Drosophila hemibrain data

In the current project, the researchers optimized the reconstruction results to make them more useful for generating connection groups, rather than just displaying the shape of neurons.

FFN is the first automatic segmentation technique capable of producing sufficiently precise reconstructions to allow the entire half-brain program to proceed. This is because errors in automatic reconstruction require expert manpower

The computer algorithm tracks the threads of individual neurons through the image captured by the electron microscope, and finds out the connection position of these neurons. Then, the human proofreader checks the work of the computer and adds the missing parts.

With FFN, it takes only hundreds of thousands of hours of manual time to proofread: two orders of magnitude improvements. This (still important) proofreading was done by a highly skilled annotation team in more than two years, using tools and workflow developed by janelia for this purpose.

For example, annotators use VR headphones and custom 3D object editing tools to check the shape of neurons and fix errors in automatic reconstruction. These revisions are then used to retrain the FFN model to make the machine output more accurate.

Finally, after proofreading, the reconstruction was combined with automatic synapse detection to generate the hemi brain connection group. Janelia's scientists manually labeled a single synapse and then trained a neural network classifier to automate the task.

The generalization ability is improved by multi round tagging, and the results from two different network architectures are combined to generate reliable classification in the whole brain.

3、 Welfare release: everyone can study the fly connection group visually and programmatically

The focus of Google's announcement today is a set of interrelated datasets and tools that enable anyone interested to study the fly connection group visually and programmatically. Specifically, the following resources can be used:

  • Terabytes of raw data, 3D reconstruction of proofreading and synaptic annotation can be interactively visualized or downloaded in batches.
  • Neuprint, a network-based tool, can be used to query the connectivity, connection strength and morphology of any given neuron.
  • A downloadable, compact group of connections with about a million times fewer bytes than the raw data.
  • documentation and video tutorials on the use of these resources.
  • A pre print containing further details related to the production and analysis of the hemicranial junction group.

Next, researchers will start using the semi-brain junction group to gain a deeper understanding of the fruit fly nervous system. For example, an important brain circuit is

Another circuit under further study is

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