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Researchers can freely access the Allen Mouse Brain Common Coordinate Framework (v3), a complete and high-resolution 3D atlas of the mouse brain. Learn more about it at #SfN23

allen institute

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20,149 views • 2 years ago •via X (Twitter)

Health & Wellness Education Science & Technology #SfN23

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Freely access electrophysiological, morphological, and transcriptomic data measured from thousands of individual mouse & human brain cells via the Allen Cell Types Database: #openscience #SfN23

Freely access electrophysiological, morphological, and transcriptomic data measured from thousands of individual mouse & human brain cells via the Allen Cell Types Database: #openscience #SfN23

allen institute

30,850 views • 2 years ago

Freely access electrophysiological, morphological, and transcriptomic data measured from thousands of individual mouse & human brain cells via the Allen Cell Types Database:

Freely access electrophysiological, morphological, and transcriptomic data measured from thousands of individual mouse & human brain cells via the Allen Cell Types Database:

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New microscopy technology enables nanoscale imaging of centimetre-scale tissues, making it possible to image the entire expanded mouse brain at cellular and subcellular resolution. #ReviewedPreprint

New microscopy technology enables nanoscale imaging of centimetre-scale tissues, making it possible to image the entire expanded mouse brain at cellular and subcellular resolution. #ReviewedPreprint

eLife - the journal

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Scientists have mapped the vision centers of a mouse brain, the largest and most detailed such rendering of neural circuits in a mammalian brain:

Scientists have mapped the vision centers of a mouse brain, the largest and most detailed such rendering of neural circuits in a mammalian brain:

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Endomucin immunostaining of a cleared young mouse skull reveals a continuous vascular network in the parietal bone, enabling high-resolution 3D visualization of cranial blood vessels.

Endomucin immunostaining of a cleared young mouse skull reveals a continuous vascular network in the parietal bone, enabling high-resolution 3D visualization of cranial blood vessels.

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first time we took the junkdog for a spin before it had its brain we controlled it with a keyboard and mouse

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Two months of printing, over a month of post-process and painting but she is finally finished. Demon Princess Mouse 3d model by Aveen. Mouse 3d logo by me. More images of her in the replies. #ironmouseart

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New study in Current Biology gives the most detailed description yet of cilia in the mouse visual cortex. The study was a collaboration including researchers from the Allen Institute HHMI | Janelia, University at Albany, Harvard Medical School, and others.

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How can a combination of high-resolution #satelliteimagery and #ai help solve Earth’s greatest challenges? By making it more searchable. Learn more about ‘Queryable California,’ a proof-of-concept collab with @microsoft: #PlanetExplore23

How can a combination of high-resolution #satelliteimagery and #ai help solve Earth’s greatest challenges? By making it more searchable. Learn more about ‘Queryable California,’ a proof-of-concept collab with @microsoft: #PlanetExplore23

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Taking the art of Dr. Rhoton to the next level of 3D using photogrammetry of dissections for DBS targets! The full atlas can be freely accessed at:

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We recently obtained the highest-resolution 3D images of the human brain ever taken from outside the skull. This is the first look. Introducing Aleph, a research lab building brain interfaces for the telepathic future. (1/n)

We recently obtained the highest-resolution 3D images of the human brain ever taken from outside the skull. This is the first look. Introducing Aleph, a research lab building brain interfaces for the telepathic future. (1/n)

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Brain cell communication seen in action. Scientists have captured the millisecond fast process of brain cell communication using advanced imaging. Teams in Berlin and the US used rapid freezing techniques on mouse and human neurons to observe neurotransmitter release and vesicle recycling, revealing key steps and proteins involved. This could help understand brain diseases.

Brain cell communication seen in action. Scientists have captured the millisecond fast process of brain cell communication using advanced imaging. Teams in Berlin and the US used rapid freezing techniques on mouse and human neurons to observe neurotransmitter release and vesicle recycling, revealing key steps and proteins involved. This could help understand brain diseases.

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I've been editing this article about "brain mapping" and connectomics, and I'm just stunned by how quickly the cost estimates to map, say, a mouse brain have plummeted in just the last couple years. It actually seems feasible that we could map the entire human brain -- all 86 billion neurons, and their connections -- in this lifetime. In the 1970s, Sydney Brenner started mapping all the connections between neurons in C. elegans. His team sliced the worm into thin pieces, took photos using an electron microscope, and manually traced and reconstructed each synapse for 302 neurons total. This project took more than a decade of work, and it cost about $16,500 to reconstruct each neuron. Scaling this up to a human brain boggles the mind. Electron microscopy remained the norm in connectomics for decades, because it was the only option available to see synapses at a resolution high enough to be able to trace their paths. Each electron microscope costs several hundreds of thousands of dollars, though, and you need lots of them to map even a mouse brain in a reasonable timeframe. In 2023, the Wellcome Trust released a report estimating how long, and how expensive, it would be to map the mouse connectome (~70M neurons). They estimated that imaging alone would cost $200-300M, and that proofreading (or ensuring that traces between neurons are correct) would cost $7-21 BILLION. (A human can only manually trace about 1 mm of neuron per hour.) Also, the images would occupy about 500 petabytes of data, and getting those data would require 20 electron microscopes running in parallel for about 5 years, continuously. They estimated the whole project would take about 17 years of work. This is, understandably, insane. But now it seems like there's an actual path toward mapping the full mouse brain in about five years for ~$100M dollars. There have been three major breakthroughs in the last year or so: 1/ Expansion microscopy, first developed in 2015, showed that it's possible to "enlarge" the brain by about 5x using a swellable polymer. But an improved method increases this number to >20x expansion, meaning we can now expand brains and image neurons much more easily using cheap light microscopes, rather than expensive electron ones. 2/ E11 Bio (a nonprofit research org) developed protein barcodes that get delivered into brain tissue; each neuron gets a unique combination of barcodes. These cells are then stained with colorful antibodies, which stick to a matching protein barcode, causing each neuron to light up in a distinct color. This makes tracing neurons so much easier. 3/ Google Research released PATHFINDER this May, an AI-based neuron tracing tool that can proofread about 67,200 cubic microns of brain tissue per hour, with very high accuracy. It works on electron micrographs, but something similar could be presumably be developed for the E11 / colorful tag approach. This is an extremely exciting time for neuroscience. (C. elegans connectome below.)

I've been editing this article about "brain mapping" and connectomics, and I'm just stunned by how quickly the cost estimates to map, say, a mouse brain have plummeted in just the last couple years. It actually seems feasible that we could map the entire human brain -- all 86 billion neurons, and their connections -- in this lifetime. In the 1970s, Sydney Brenner started mapping all the connections between neurons in C. elegans. His team sliced the worm into thin pieces, took photos using an electron microscope, and manually traced and reconstructed each synapse for 302 neurons total. This project took more than a decade of work, and it cost about $16,500 to reconstruct each neuron. Scaling this up to a human brain boggles the mind. Electron microscopy remained the norm in connectomics for decades, because it was the only option available to see synapses at a resolution high enough to be able to trace their paths. Each electron microscope costs several hundreds of thousands of dollars, though, and you need lots of them to map even a mouse brain in a reasonable timeframe. In 2023, the Wellcome Trust released a report estimating how long, and how expensive, it would be to map the mouse connectome (~70M neurons). They estimated that imaging alone would cost $200-300M, and that proofreading (or ensuring that traces between neurons are correct) would cost $7-21 BILLION. (A human can only manually trace about 1 mm of neuron per hour.) Also, the images would occupy about 500 petabytes of data, and getting those data would require 20 electron microscopes running in parallel for about 5 years, continuously. They estimated the whole project would take about 17 years of work. This is, understandably, insane. But now it seems like there's an actual path toward mapping the full mouse brain in about five years for ~$100M dollars. There have been three major breakthroughs in the last year or so: 1/ Expansion microscopy, first developed in 2015, showed that it's possible to "enlarge" the brain by about 5x using a swellable polymer. But an improved method increases this number to >20x expansion, meaning we can now expand brains and image neurons much more easily using cheap light microscopes, rather than expensive electron ones. 2/ E11 Bio (a nonprofit research org) developed protein barcodes that get delivered into brain tissue; each neuron gets a unique combination of barcodes. These cells are then stained with colorful antibodies, which stick to a matching protein barcode, causing each neuron to light up in a distinct color. This makes tracing neurons so much easier. 3/ Google Research released PATHFINDER this May, an AI-based neuron tracing tool that can proofread about 67,200 cubic microns of brain tissue per hour, with very high accuracy. It works on electron micrographs, but something similar could be presumably be developed for the E11 / colorful tag approach. This is an extremely exciting time for neuroscience. (C. elegans connectome below.)

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Recently, neuroscientists described a new form of neuroplasticity, which is caused by an electrical change that affects multiple neurons at once and unfolds across several seconds. Researchers suspect that it may help the brain learn in a single attempt.

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The placenta is a crucial organ during pregnancy, yet much about it remains a mystery. Junjie Yao and colleagues at Duke Biomedical Engineering have captured high-res images of the mouse placenta in real time, providing an unprecedented view of its development. Take a look:

The placenta is a crucial organ during pregnancy, yet much about it remains a mystery. Junjie Yao and colleagues at Duke Biomedical Engineering have captured high-res images of the mouse placenta in real time, providing an unprecedented view of its development. Take a look:

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12,234 views • 2 years ago

ClickUp is working on music generation support for Brain AI! Upcoming Brain capabilities 👀 > Brain can generate original audio based on the track description. > Setting the style, mood, and length are supported too. > Brain will return a playable file with a waveform. All these features will be supported through simple prompting and can be executed alongside other tasks within a common pipeline.

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A stroke can destroy brain cells within minutes, often leaving people with long‑term problems in movement, memory, or speech. But scientists may have found a way to help the brain heal itself. In studies of mice, researchers injected stem cells into areas of the brain damaged by stroke. These stem cells began turning into early‑stage brain cells, and many later developed into active neurons that connected with surrounding tissue. The treatment did more than just grow cells.

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Each weaver ant can pull on a leaf much harder when in a group than when it works alone. The ants’ sticky feet and coordinated legwork, researchers believe, improve the ants’ collective efficiency—a finding that may provide insights into how to build and coordinate swarms of robots that work together. Learn more: News from Science

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