Harvard: Google has developed the most detailed map of a small part of the human brain so far, in which its important parts can be seen in great detail. It shows the nerve cells (neurons) and the connections between them in a very detailed way.
This map is available online for free and currently contains 50,000 cells. All cells can be viewed in 3D, with innumerable spider web-like protrusions and a total of 130 million connections or wires. It should be noted that this data of only 50,000 brain cells is equal to 1.4 petabytes, which means that it takes up 700 times the capacity of a modern computer.
Its data is so large that scientists have not yet looked at it in detail. Its expert, Warren Jane, says it is the first step and is similar to the study of the human genome, which is still being researched 20 years later. In the same way, this journey of brain mapping will continue.
“This is the first time we’ve seen the actual structure of such a large part of the human brain, and I’m thrilled to learn that such a detailed map of the brain has been created,” said Catherine DeVillek, a Harvard University expert who was not involved in the study.
The work was started by Jeff Litman, a scientist at Harvard University, when he found a piece of the brain of a 45-year-old epilepsy patient who could not be cured by any medicine. This corner was located on the left side of the hippocampus and was causing epilepsy. Some healthy brain cells were also taken out during this time.
Immediately after being removed from the brain, the brain part was preserved in various chemicals. It was then dipped in heavy metal such as osmium. This cleared the outer surface of the cerebral cortex, and the electron microscope made it possible to see each cell clearly. The brain was then dipped in a kind of transparent glue and hardened. The brain was then cut into 30 nanometer thin slices that are a thousand degrees thinner than human hair. Each corner was then photographed with an electron microscope and further improved.
This was followed by a 3D map of the area using machine learning and artificial intelligence, as well as the identification of different types of cells. Other experts have called the dataset a great treasure. It is hoped that this will lead to more discoveries