Tamas Nagy

Tamas Nagy

@tamasnagy.com

Cellular biophysicist. Microscopist. Urbanist. Working on cell fate decisions in collectives. Postdoc @UCLA with Tom Rando. Prev: PhD @UCSF with Orion Weiner. tamasnagy.com

1.3K followers301 following157 posts

Tamas Nagy reposted

"Because manuscripts reflected real progress towards our field’s goals, our assessment systems began relying on them as primary metrics...which is obviously flawed...Generative AI has broken this already-flawed proxy completely" journals.plos.org/plosbiology/...

journals.plos.orgWhat is biology research for?In the age of generative artificial intelligence (AI), the assumption that writing a paper requires doing science no longer holds true. Before deciding how to respond to the surge of AI-generated pape...

Tamas Nagy reposted

Very excited to see this published! #ERliterature

How do cells make sure membrane proteins end up in the right place, and fix it when they don’t? A new piece of the puzzle now published in natsmb.nature.com. Study by the Schulman Dept. mpibiochem.bsky.social & Feige Lab tum.de, with the Schuldiner weizmann.ac.il & Fenech Labs unicologne.bsky.social

I think “ending aging” is gonna be a second given that we barely understand the molecular logic failures that lead to aging phenotypes. Hard to fix what you don’t understand.

Mark Peifer (He, him)@peiferlabunc.bsky.social

I am a long time subscriber to National Geographic. National Geographic generally does a superb job of covering complex scientific topics. However, The End of Aging” in the September issue was a dramatic deviation from this record. 1/n

Tamas Nagy reposted

Even with all the advancements in automated cell tracking getting us to 90%+ accuracy...that's still a lot of broken tracks over long movies! Our brains are pretty good at this so I made Vizsla 🐕, a little @napari.org plugin, to help you fix your tracks manually. 👉 pypi.org/project/napa...

Wowowow. This some spectacular imaging. Amazing watching the immune cells migrate on top of the epithelia!

Very happy to share my postdoc paper is out now in @natcellbio.nature.com titled "Tissue flow acts as a guidance cue for immune cell polarization and directional migration". If you love imaging and immune cells, this is for you! #microscopymonday www.nature.com/articles/s41... A 🧵: 1/n

Even with all the advancements in automated cell tracking getting us to 90%+ accuracy...that's still a lot of broken tracks over long movies! Our brains are pretty good at this so I made Vizsla 🐕, a little @napari.org plugin, to help you fix your tracks manually. 👉 pypi.org/project/napa...

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I'm also quite proud of my (non-AI) logo 😀. Vizslas are a famous hunting dog from Hungary known for their almost supernatural ability to follow animal tracks under the toughest circumstances...exactly the sidekick you want!

It's my first Python package after lots of Julia packages so I'm excited to see what kind of new bug reports I'll get 😅

Even with all the advancements in automated cell tracking getting us to 90%+ accuracy...that's still a lot of broken tracks over long movies! Our brains are pretty good at this so I made Vizsla 🐕, a little @napari.org plugin, to help you fix your tracks manually. 👉 pypi.org/project/napa...

Interesting how similar this is to neutrophil/immune cell migration under confinement…huh.

Thibaut Brunet@thibautbrunet.bsky.social

A bit of background first: although choanoflagellates are traditionally known as flagellate microswimmers, we found in 2021 that they underwent a radical shapeshift when spatially confined: they retract their flagellum, go amoeboid, and start crawling around. elifesciences.org/articles/61037

This is such a good point. Given that genAI reproduces large chunks of code verbatim from open source software without crediting the original author...suffice to say, it's probably doing the same exact thing when writing.

Colin Carlson@colincarlson.bsky.social

I wrote about a reason not to use generative AI in your writing that I haven't seen anyone talking about. Once I realized this, banning GenAI in our lab's writing became a no-brainer. Feel free to share, I think this is probably useful especially for trainees: www.carlsonlab.bio/thoughts/the...

Tamas Nagy reposted

I'm not sure folks have realized just how crazy the second half of 2026 and 2027 will be for global temperatures – on the back of a record-smashing El Niño event. Here is my latest estimate of where both years will end up compared to global temperatures since 1850.

Tamas Nagy reposted

Watch a muscle fiber take shape. 🔬 This microscopic video captures a muscle cell fusing with a developing muscle fiber, with cell membranes visible in purple and yellow. The Rando Lab uses live-cell imaging to understand how cells coordinate muscle regeneration. Credit: Tamas Nagy/Rando Lab

Interesting work that shows that frontier models are basically not improving in reliability despite them appearing to do better on benchmarks. Reliability is key to trust. Hard to imagine LLMs being trusted with critical operations until this is solved, *if* it can be. arxiv.org/pdf/2602.16666

Tamas Nagy reposted

New paper 🧵 What if the "landscape" that guides cell differentiation isn't fixed, but is sculpted, in real time, by the very cells moving through it? We call this a 'sandscape' : grains of sand that carve dunes as they move, while the dunes' shape simultaneously steers where the grains go next.

Tamas Nagy reposted

Tamas Nagy reposted

Very excited to be sharing our new paper, just out in Nature Cell Biology! The big question we investigate: How do migrating cells put their front 🔴 and back 🔵 in the right place?

Got to play around with Holotomographic imaging of muscle cells yesterday via the @uclastemcell.bsky.social imaging core and the results are pretty spectacular 🤩 You can see everything from mitochrondria to lamellipodia to macropinocytosis…with no labels!

Tamas Nagy reposted

📣 The difference between replicable and not replicable is not itself scientifically replicable. 📣 New work with Erkan Buzbas, showing that verdicts such as "X% of results replicated" are based on an inferential machinery that doesn't work. arxiv.org/abs/2604.26268

Trainees jump on this! Juan is an awesome human and he’s gonna do some amazing science ✨ Can’t wait to see what he gets up to!

Juan C. Landoni@jclandoni.bsky.social

The Landoni Lab opens this summer at UNIL! @fbm-unil.bsky.social 🔬 Quantitative #imaging + systems biology to decipher how #metabolic architecture & #mtDNA dynamically shape tissue development, #aging and #mitodisease. Beyond excited to fire up the lasers, open positions soon! 🧪 #mitochondria #newPI

Tamas Nagy reposted

Our paper is now out in Science! Super excited to share our discovery that #mitochondria #pearling is the elusive mechanism driving the regular distribution and inheritance of #mtDNA nucleoids 🧬 [1/6]

Tamas Nagy reposted

For me, the most maddening thing is when AI boosters, or detractors, all seem to agree that AlphaFold is an unmitigated good and useful tool showing the power of AI. I disagree. It's hit and miss. And the misses are REALLY expensive. Especially when the conversation suggests it is ALL HIT.

Jake Janey@phlogiston1.bsky.social

The most maddening quip I hear from the tech overlords is “AI will cure all disease” or some variation thereof. Either they say these things due to their absolute naivety on drug discovery and/or they put out these press release to pump up their valuations.

Tamas Nagy reposted

I don't think people fully appreciate how apocalyptic things are for US science. I haven't had any new funding since 2024, but I'm still ok since typical grants are for three years. This means next year I will be completely out of funding and will have to fire everyone in the lab. It's not great.

Jeremy Berg@jeremymberg.bsky.social

NSF Update through March 13, 2026 1/2

Tamas Nagy reposted

Federal funding for US biomedical research is moribund. Since October 1 2025, NIH is -80% in new grants and -70% in values (total dollars). Labs are closing down and researchers are leaving science. To what end?

Do folks have a preferred protocol for bleaching fluorescent proteins prior to doing Immunofluorescence? I tried a 3% H2O2 + 12mM HCl solution but I had severe cell detachment problems (despite everything being fixed).

Absolutely wild timeline we live in TLDR: An agentic AI bot writes a takedown blog post of a matplotlib maintainer after he rejects its pull request. @arstechnica.com screws up and use AI to write a piece about the incident which hallucinates quotes. 🤦 theshamblog.com/an-ai-agent-...

theshamblog.comAn AI Agent Published a Hit Piece on MeSummary: An AI agent of unknown ownership autonomously wrote and published a personalized hit piece about me after I rejected its code, attempting to damage my reputation and shame me into acceptin…

Insane that anyone can just unleash hundreds of glorified spam bots on the public internet and harass people, with little to no repercussions. The person who fired up the agent might not even know that it’s doing this! How are we as a society going to handle BS at this scale?

For all the talk about accelerating science, tools like this will likely slow things down because we have wade through mountains of AI garbage. The consequences need to grow for faking results.

Raphael Wimmer@raphaelwimmer.bsky.social

OpenAI just released Prism, a LaTeX editor with embedded ChatGPT for free. Writing a paper has never been easier. Clogging the scientific publishing pipeline has never been easier. It took me 54 seconds to write up an experiment I did not actually conduct. prism.openai.com

Tamas Nagy reposted

Peer review science relies, more than we care to admit, on what @zey.bsky.social calls "load bearing frictions" that make it difficult to fake good science, and on trust that most ppl also value science itself & won't cheat just for personal gain. This creates the wrong environment for that to hold.

Raphael Wimmer@raphaelwimmer.bsky.social

OpenAI just released Prism, a LaTeX editor with embedded ChatGPT for free. Writing a paper has never been easier. Clogging the scientific publishing pipeline has never been easier. It took me 54 seconds to write up an experiment I did not actually conduct. prism.openai.com