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Small steps
Google and the Machine of Loving Grace
Google today announced that they’d comprehensively mapped 50 centimeters of mouse brain structure.
Today, in collaboration w/ colleagues at the Institute of Science and Technology Austria (ISTA), we report the first-ever method for using light microscopy to comprehensively map all the neurons & their connections in a block of mouse brain tissue. More →goo.gle/4maUNUs
— Google AI (@GoogleAI)
4:33 PM • May 7, 2025
They used a technique called expansion microscopy, which uses a substance called a hydrogel (the same material that makes diapers absorbent). Hydrogels absorb moisture by crosslinking with water molecules, swelling as they do so — a principle that researchers at the Boyden Lab at the Massachusetts Institute of Technology relied on to develop a tissue expansion protocol for microscopy in 2015.
Although expansion microscopy is used in many labs today, existing tissue expansion protocols do not preserve the tissue well enough to trace densely labeled neuronal structures, so our ISTA collaborators developed a new expansion protocol for LICONN. It involved first cutting a tiny block of tissue into 50 micrometer sections, then treating each section with a sequence of three different hydrogels. Two of the hydrogels created distinct, interweaving polymer networks within the tissue, with each one expanding the tissue by a factor of four, and the third hydrogel served to stabilize those networks. With this protocol, the tissue expanded by about 16 times in each direction, which is loosely comparable to starting with a sugar cube and ending up with a box of tissues.
Why is this significant?
In Anthropic founder Dario Amodei’s Machines of Loving Grace:
The basic framework that I laid out for biology applies equally to neuroscience. The field is propelled forward by a small number of discoveries often related to tools for measurement or precise intervention – in the list of those above, optogenetics was a neuroscience discovery, and more recently CLARITY and expansion microscopy are advances in the same vein, in addition to many of the general cell biology methods directly carrying over to neuroscience. I think the rate of these advances will be similarly accelerated by AI and therefore that the framework of “100 years of progress in 5-10 years” applies to neuroscience in the same way it does to biology and for the same reasons.
Essentially the big unlocks in neuroscience are not just going to come from better drugs, but better tools. And specifically the work done by Google: polymer expansion microscopy, where you inject a substance like a hydrogel into a biological substrate that expands the tissue so that you can capture an image of what’s there.
The key innovation Google made here is figuring out that while normally this process destroys the delicate structures and proteins in brain matter, if one cuts thin slices, performs the microscopy and then allows machine learning to stitch the various slices back together, you can get a complete map.
So all of a sudden we went from not knowing what happens in detail in the brain, to being able to visualize the details.
The Beginning
This is just the beginning of course. Now this technique will be used to comprehensively map all kinds of brains and neuronal structures. And experiments with stimuli and memory and all the other features of the brain.
But it is one of the big unlocks that we have been waiting for. Potentially world changing, but announced with the whisper of a mouse.
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