#brain biopsy

[kirby-the-gorb]

[elenadoeslife]

🤍

[daniwib]

For the love of god pls stop booping me I am TRYING to balance my meter!!

[gwynndolin]

cameron what is up with THIS little number LMAO..

[duck-in-a-spaceship]

I hate that House M.D. makes me think about how wet my bones are.

[richkidcityfriends]

okay this is so nitpicky and im so sorry but. if they give it to people to stop them becoming infected then its not a cure !!!!!

[blue-likethebird]

So in the very first scene of episode 1, the epidemiologist explains his fear of a fungal pandemic: unlike bacteria or viruses, there are no ways to cure or vaccinate against fungi. In episode 2, when she’s asked if it’s possible to help the people infected with cordyceps, the mycologist bluntly replies that there’s nothing they can do: the only solution she can think of is bombing the entire city of Jakarta.

These are obviously respected leaders in their fields who’ve dedicated their lives to their studies, and neither even stop to entertain the possibility of curing or inoculating people against the fungus. With that in mind, how much of the fireflies’ belief that a cure could be engineered from the strain infecting Ellie is even worth entertaining?

[synthyk]

girl help I am recognizing the pattern

[a-sleepy-ginger]

4/6/24

❊✺❂✺❊

Fruit

Dinner

Recent Shuumatsu train episode was fun

Windy

[cesium-sheep]

retook the sf-36 since this month has been a Rough one and the score from 2 weeks ago isn't gonna be accurate anymore. we are back under 5, there are only 3 subcategories above 0. that feels correct.

[misskamelie]

I'm not even using post its anymore, I'm putting up full A4 pages like Martin Luther and his theses on the church of Wittenberg

[jcmarchi]

AI Optimizes Rapid Neural Imaging - Technology Org

New Post has been published on https://thedigitalinsider.com/ai-optimizes-rapid-neural-imaging-technology-org/

AI Optimizes Rapid Neural Imaging - Technology Org

Connectomics, the ambitious field of study that seeks to map the intricate network of animal brains, is undergoing a growth spurt. Within a decade, it has journeyed from its nascent stages to a discipline poised to (hopefully) unlock the enigmas of cognition and the physical underpinning of neuropathologies such as Alzheimer’s disease. 

Smart electron microscope uses AI to optimize the imaging process. Credit: MIT CSAIL

At its forefront is the use of powerful electron microscopes, which researchers from the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Samuel and Lichtman Labs of Harvard University bestowed with the analytical prowess of machine learning.

Unlike traditional electron microscopy, the integrated AI serves as a “brain” that learns a specimen while acquiring the images, and intelligently focuses on the relevant pixels at nanoscale resolution similar to how animals inspect their worlds. 

“SmartEM” assists connectomics in quickly examining and reconstructing the brain’s complex network of synapses and neurons with nanometer precision. Unlike traditional electron microscopy, its integrated AI opens new doors to understand the brain’s intricate architecture.

The integration of hardware and software in the process is crucial. The team embedded a GPU into the support computer connected to their microscope. This enabled running machine-learning models on the images, helping the microscope beam be directed to areas deemed interesting by the AI.

“This lets the microscope dwell longer in areas that are harder to understand until it captures what it needs,” says MIT professor and CSAIL principal investigator Nir Shavit. “This step helps in mirroring human eye control, enabling rapid understanding of the images.” 

“When we look at a human face, our eyes swiftly navigate to the focal points that deliver vital cues for effective communication and comprehension,” says the lead architect of SmartEM, Yaron Meirovitch, a visiting scientist at MIT CSAIL who is also a former postdoc and current research associate neuroscientist at Harvard.

“When we immerse ourselves in a book, we don’t scan all of the empty space; rather, we direct our gaze towards the words and characters with ambiguity relative to our sentence expectations. This phenomenon within the human visual system has paved the way for the birth of the novel microscope concept.”

For the task of reconstructing a human brain segment of about 100,000 neurons, achieving this with a conventional microscope would necessitate a decade of continuous imaging and a prohibitive budget. However, with SmartEM, by investing in four of these innovative microscopes at less than $1 million each, the task could be completed in a mere three months.

Nobel Prizes and little worms  

Over a century ago, Spanish neuroscientist Santiago Ramón y Cajal was heralded as being the first to characterize the structure of the nervous system. Employing the rudimentary light microscopes of his time, he embarked on leading explorations into neuroscience, laying the foundational understanding of neurons and sketching the initial outlines of this expansive and uncharted realm — a feat that earned him a Nobel Prize.

He noted, on the topics of inspiration and discovery, that “As long as our brain is a mystery, the universe, the reflection of the structure of the brain will also be a mystery.”

Progressing from these early stages, the field has advanced dramatically, evidenced by efforts in the 1980s, mapping the relatively simpler connectome of C. elegans, small worms, to today’s endeavors probing into more intricate brains of organisms like zebrafish and mice.

This evolution reflects not only enormous strides, but also escalating complexities and demands: mapping the mouse brain alone means managing a staggering thousand petabytes of data, a task that vastly eclipses the storage capabilities of any university, the team says. 

Testing the waters

For their own work, Meirovitch and others from the research team studied 30-nanometer thick slices of octopus tissue that were mounted on tapes, put on wafers, and finally inserted into the electron microscopes.

Each section of an octopus brain, comprising billions of pixels, was imaged, letting the scientists reconstruct the slices into a three-dimensional cube at nanometer resolution. This provided an ultra-detailed view of synapses. The chief aim? To colorize these images, identify each neuron, and understand their interrelationships, thereby creating a detailed map or “connectome” of the brain’s circuitry.

“SmartEM will cut the imaging time of such projects from two weeks to 1.5 days,” says Meirovitch. “Neuroscience labs that currently can’t be engaged with expensive and long EM imaging will be able to do it now,” The method should also allow synapse-level circuit analysis in samples from patients with psychiatric and neurologic disorders. 

Down the line, the team envisions a future where connectomics is both affordable and accessible. They hope that with tools like SmartEM, a wider spectrum of research institutions could contribute to neuroscience without relying on large partnerships, and that the method will soon be a standard pipeline in cases where biopsies from living patients are available.

Additionally, they’re eager to apply the tech to understand pathologies, extending utility beyond just connectomics.

“We are now endeavoring to introduce this to hospitals for large biopsies, utilizing electron microscopes, aiming to make pathology studies more efficient,” says Shavit. 

Source: Massachusetts Institute of Technology

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[cheaphousespending]

Ultrasound-based brain biopsy is feasible, noninvasive and safe in people

Sonobiopsies generate genetic, molecular data to inform treatment decisions for brain diseases The blood-brain barrier, the body’s way of shielding sensitive brain tissue from viruses, toxins and other harmful substances in the blood, can pose a problem for physicians caring for patients with suspected brain diseases such as cancer. Molecular and genetic information would be invaluable for…

[littlebabyyodas]

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[lilliputiantestinggravity]

surely being this sad is not physiologic