Lorenz Lamm

🦠🧠 MemBrain update! 🧠🦠 We’ve updated our preprint! It now covers the full MemBrain v2 pipeline for end-to-end membrane analysis in #CryoET: segmentation, particle picking, and spatial statistics. 🔗 Preprint: doi.org/10.1101/2024... 🔗 Code: github.com/CellArchLab/... 🧵(1/6) #TeamTomo

(1/16) Nearly two-thirds of ocean carbon fixation flows through a diverse organelle: the pyrenoid. Our new paper maps its 3D architecture in the alga Chlorella and identifies new proteins — expanding the toolkit to engineer this CO2-concentrating machine into crops🧵 #Pyrenoid #CCM #Photosynthesis

It’s a pyrenoid party! 🪩🌍 Awesome collab🤝 of @phaips.vd.st & @manondemulder.bsky.social with Mihris and the @mackinderlab.bsky.social crew to reveal the molecular architecture🏗️ of the Chorella pyrenoid. Algae have so many convergently evolved compartments to supercharge #CO2 capture. #TeamTomo 🔬🌾🌊🧪

In #cryoET, separating closely apposed membrane segmentations into distinct labels can be difficult. Small artefacts may connect otherwise separate membranes, requiring tedious slice-by-slice correction. To address this, @jasmred.bsky.social and I developed MemSplit, a napari based workflow.

We're super excited to share MissAlignment: a new ML-based approach to reference-free tilt series alignment, spearheaded by @martenchaillet.bsky.social. We think it's going to make your cryo-ET life a lot better. Preprint: www.biorxiv.org/content/10.6... Code: github.com/warpem/miss-... 🧶 Thread:

Excited to share our paper about copick, a dataset API and toolkit for collaborative annotation and analysis of #cryoET data! Whether you're picking particles or curating segmentations, copick reduces friction and brings #OME-Zarr to cryoET without breaking pipelines. 🧵👇 doi.org/10.1002/pro.70578

Long in the making, but happy to present the Chlamydomonas chlororibosome! Cryo-ET🔬reveals a large new domain on the small subunit, built from multiple extensions in conserved ribosomal proteins. bioRxiv 📖: shorturl.at/q44tG This suggests greater chlororibosome diversity than expected! 1/n 🧵

How does molecular valency shape condensate assembly and function? We used the CO2-fixing organelle in algae—the pyrenoid—to find out… 🧵 Preprint here!: www.biorxiv.org/content/10.6... @cellarchlab.com @phaips.vd.st @biologyatyork.bsky.social #Rubisco #PhaseSeparation #Condensates #Pyrenoid

This one was quite the journey! The paper describing the #ChlamyDataset is finally out and on the cover of Mol Cell! This beautiful rendering made by co-author @jessheebner.bsky.social and Holly Peterson shows an instance of mitochondrial fission found in the dataset 😍 [Maybe long thread ahead]

The #ChlamyDataset is on the cover of @cp-molcell.bsky.social 🖼️🥰! Read @lifeonthewedge.bsky.social's great thread🧵 for the inside scoop🍨 on all the #TeamTomo developments already made possible since these 1829 tomos hit EMPIAR 🧪 🧶🧬 For more, here's the old preprint thread: bsky.app/profile/cell...

Online Now: Toward community-driven visual proteomics with large-scale cryo-electron tomography of Chlamydomonas reinhardtii Online now:

In case you're missing my poster at #NeurIPS2025 about how I fine-tuned DINOv2 to ophthalmological images, here are some animations so you don't miss out! 🔗 Preprint: doi.org/10.48550/arX... 🔗 Code: github.com/peng-lab/rmlp 🧵1/9

Are you also often frustrated when DINOv2 puts very high attention on background patches, rather than cute fox heads? @virtualhomo.bsky.social found an elegant way to regularize DINOv2 training using randomised linear algebra 🤯 Check out his thread or even his poster if you're at #NeurIPS2025.

I wrote a paper with @lorenzlamm.bsky.social, @marionjasnin.bsky.social, @tingyingpeng.bsky.social, F. Eckardt and B. Schworm and got accepted at #NeurIPS2025 and fun fact: 90% of viewers are enby vegans! 🤟 So if u fit there, u might wanna check it out! Maybe also if you don't. We're allies here <3

I'm pleased to announce 🍦 Icecream 🍨 v0.3! New features include: * Training on multiple tomograms (same training time, with linear increase in RAM) 🚀 * Logging and plotting of the loss function 📉 * The --scale option is now called --eq-weight for clarity 😉 We'd love to hear your feedback! 🙏🏽

You might have noticed lots of activity in the napari project recently! 🚀 We're grateful for a grant from CZI that's keeping us going, but grants don't last forever: we're trying to figure out sustainable long term funding. Read our blog post to find out how you can help: napari.org/island-dispa...

✨Excited that the main project of my PhD is now available as a pre-print on #bioRxiv Here, we used #CryoET to visualise mitochondrial proteostatic stress and together with SPA #CryoEM shed light into the functional cycle of the Hsp60:10 chaperone system. #TeamTomo 🔗 www.biorxiv.org/content/10.1...

Time for a thread!🧵 How different is the molecular organization of thylakoids in “higher” plants🌱? To find out, we teamed up with @profmattjohnson.bsky.social to dive into spinach chloroplasts with #CryoET ❄️🔬. Curious? ..Read on! #TeamTomo #PlantScience 🧪 🧶🧬 🌾 elifesciences.org/articles/105... 1/🧵

🌱 Using ‘compelling’ methods, including #CryoET, researchers mapped spinach thylakoid membranes at single-molecule precision, revealing how photosynthetic complexes are organised and settling long-standing debates on chloroplast architecture. buff.ly/j3TSIkn

Better ML for cryo-ET starts with better benchmarks. We built a phantom cryo-ET dataset (~500 tomograms) + hosted a Kaggle challenge. The result: community models beat expert tools. Read more in the @natmethods.nature.com article that just came out: 🔗 doi.org/10.1038/s415...

Proud to share our latest paper. doi.org/10.1016/j.cr... Through the dedication of @glynnca.bsky.social and @cryingem.bsky.social we report a thorough method to image molecular organisation within hippocampus tissue. Structural biology in tissue is well and truly here! @rosfrankinst.bsky.social

Final PhD paper now reviewed and published in JSB:X. I was happy with some great reviews that improved the paper! Thanks to Sander Roet for his help with the code base, and Remco Veltkamp and @fridof.bsky.social

We’re kicking off the DinoSphere Online Seminar Series! Join us for our first session with Karel Mockaer (Heidelberg) & Yong Heng Phua (OIST) 📅 1 July 9AM CEST 🔗 tinyurl.com/4mjaverj Spread the word! @protistwtmostest.bsky.social @ehehenberger.bsky.social @chandnibhickta.bsky.social&Norico Yamada

You want to start tomography? Solve structures inside cells? Reach Nyquist 😳 ? @phaips.vd.st and I have a website for you! tomoguide.github.io You'll find a tutorial on how to reconstruct tomograms, pick particles and do subtomogram averaging, using different software! Hope it will be useful !

Hey #TeamTomo, Ever been in need of a tutorial about the fundamentals of cryo-electron tomography? From preprocessing raw frames to high-res subtomogram averaging? That's why @florentwaltz.bsky.social and I made this website! tomoguide.github.io Follow the thread 1 /🧵 #CryoET #CryoEM 🔬🧪

🚀🔬🦠 Releasing 🤖Cellpose-SAM🤖, a cellular segmentation algorithm with superhuman generalization 🦸‍♀️. Try it now on 🤗 huggingface.co/spaces/mouse... paper: www.biorxiv.org/content/10.1... w/ @computingnature.bsky.social 1/n

MemBrain v2: an end-to-end tool for the analysis of membranes in cryo-electron tomography [updated] Cryo-ET membrane analysis via deep learning.

We’ve updated our powerful MemBrain-seg tool for CryoET membrane segmentation! Plus, we’re introducing two new tools: MemBrain-pick for particle picking and MemBrain-stats for statistical analysis. Feedback is warmly welcome!

Check out the latest version of MemBrain, spearheaded by computation superstar @lorenzlamm.bsky.social ! It can segment, pick particles and give you metrics on everything!

Yo #TeamTomo, check out our updated #MemBrain v2 preprint. And better yet, give it a whirl on your #CryoET membranes! Please send us your feedback! 🧪🧶🧬🔬

We have updated our #MemBrain v2 preprint with a lot more details about the MemBrain-pick and MemBrain-stats modules, as well as some application examples! Stay tuned for the upcoming thread by lead author @lorenzlamm.bsky.social! 🧠🧵 #CryoET #TeamTomo www.biorxiv.org/content/10.1...

I've got bad news for #teamtomo: earlier today, our resident headcrab attacked @lorenzlamm.bsky.social, turning his Mem🧠 into 🧟‍♂️🧠

We're on the cover of @science.org this week. Awesome work by @florentwaltz.bsky.social. #CryoET is reaching crazy resolutions inside cells, and this is just the beginning. Fantastic interpretation of the proton motive force by @verenaresch.bsky.social. Always a pleasure making #SciArt with you!🧪🧶🧬🌾

The final version of our work on the in-cell architecture of the mitochondrial respiratory chain is now online in @science.org 🎉 You can find the full story here www.science.org/doi/10.1126/... @verenaresch.bsky.social did a wonderful job on the cover and animation, she really brought it to life 👩‍🎨

Hey #teamtomo, if you often find yourself using the excellent membrain-seg from @lorenzlamm.bsky.social et al., you might find my napari plugin "napari-segselect" useful. Let's say your tomogram contains the edges of two bacterial cells, each with a membrane and cell wall:

Exciting update on the CryoET Data Portal! A new annotation set from Mart Last & team is now live. They’ve doubled available annotations with >1,800 tomograms of Chlamydomonas reinhardtii which now have almost fully dense labels, and all can be visualized in the browser using Neuroglancer.

In case you missed our first webinar of 2025, it is now available. Lorenz Lamm from MUDS - Munich School for Data Science presented MemBrainv2- an end-to-end tool for the analysis of membranes in cryo-electron tomography. https://buff.ly/4hutFwf #SBGridwebinars #ScienceMatters

Towards community-driven visual proteomics! Excited to finally share this large-scale curated & annotated dataset of 1829 high-quality #cryoET tomograms of the little green alga that just keeps giving— Chlamydomonas! 🧪🧶🧬🌾🌊🌍 Preprint📜: www.biorxiv.org/content/10.1... A short thread🧵👇

More than 1'800 tomograms available for the community. Towards visual proteomics using our favorite organism Chlamy! Check out the preprint: www.biorxiv.org/content/10.1... Find it on EMPIAR (11830) and fully annotated on the CZI data portal: cryoetdataportal.czscience.com #TeamTomo

I’ll have more to say about this later, but please have a look, and I hope the #TeamTomo community finds good uses for those 1829 Chlamy tomograms 🧪🧶🧬🌾🔬

Hey #teamtomo checkout our #teamscience approach to #cellbio #cryoET I can’t thank @cellarchlab.com enough for this one 😍😍 Awesome team science from @mpibiochem.bsky.social @biozentrum.bsky.social Thermo Fisher Scientific and more #firstpost on Bluesky www.biorxiv.org/content/10.1...

Annual #MuDS Munich School of Data Science PhD retreat on Frauenchiemsee - scientific talks, posters & networking by our fabulous PhDs at @www.helmholtz-munich.de @tu-munich.bsky.social #LMU - set in the lovely monastery Frauenwörth, originally founded in 782 (!) on this lovely Chiemsee island