*debates which torch monitor to use* docs.pytorch.org/docs/2.13/mo... or en.wikipedia.org/wiki/Sago_mo...

Congratulations to Ellen Zhong, Princeton University, for receiving the 2026 K.H. Kuo Award for Outstanding Young Scientist in Structural Biology www.bsc.org.cn/KuoSymposium...

Microscopy Nodes 3.1 is out for Blender 5.2! 🎉 This has cool new features for conditional masking, working with even larger data (regional upscaling), and data manipulation! Watch the new youtube tutorials that explain the features: www.youtube.com/playlist?lis...

📣 One of the best parts of #SciPy2026 is seeing the Scientific Python ecosystem evolve in real time. Today's Tools Plenary featured updates from the teams behind Zarr, Xarray, Tiled, Pangeo, scikit-image, Matplotlib, and napari, showcasing new features & future directions 🫶

📣 Tracking cells through time – including divisions – is a core problem in live-imaging microscopy. We built HOCT, an edge-centric Transformer that hits state-of-the-art on the Cell Tracking Challenge without a pretrained image encoder. Work led by @jookuma.bsky.social arxiv.org/abs/2607.11754 🧪🔬💻

Don't know how often @sethbullock.bsky.social visits here so I wanted to convey his message that our dear friend and ALIFE colleague INMAN HARVEY recently passed away. Follow the link below to Seth's touching post on LinkedIn. #ALIFE

A few days ago I heard that Inman Harvey had died quite suddenly. Inman was a central figure within the international Artificial Life research community and along with a few others helped define the… ...

A few days ago I heard that Inman Harvey had died quite suddenly. Inman was a central figure within the international Artificial Life research community and along with a few others helped define the r...

linkedin.com

Cool opportunity to help the community and get some cash 🤑

Loïc A. Royer 💻🔬🧪@loicaroyer.bsky.social · last mo.

1/ 🧬🔬 How does one cell become an entire animal? We can now film it in 3D 🐟, but turning those movies into accurate cell tracks is brutally hard. Enter our new #Kaggle challenge: $60K prize pool, to help crack 3D+time cell tracking at scale! 🧵👇 www.kaggle.com/competitions... @biohub.org

🧪

Loïc A. Royer 💻🔬🧪@loicaroyer.bsky.social · last mo.

1/ 🧬🔬 How does one cell become an entire animal? We can now film it in 3D 🐟, but turning those movies into accurate cell tracks is brutally hard. Enter our new #Kaggle challenge: $60K prize pool, to help crack 3D+time cell tracking at scale! 🧵👇 www.kaggle.com/competitions... @biohub.org

🚨Open call to the Cell Tracking crowd out there🚨! Loïc's team at @biohub.org opened our Kaggle Challenge for 3D cell tracking, with $60k of prize money💰. Spread the news, delve into our gigabytes of imaging (zarr3) and cell tracking (geff) data of developing zebrafish embryos, and start tracking 🤩

Loïc A. Royer 💻🔬🧪@loicaroyer.bsky.social · last mo.

1/ 🧬🔬 How does one cell become an entire animal? We can now film it in 3D 🐟, but turning those movies into accurate cell tracks is brutally hard. Enter our new #Kaggle challenge: $60K prize pool, to help crack 3D+time cell tracking at scale! 🧵👇 www.kaggle.com/competitions... @biohub.org

How do you track thousands of cells in complex systems, in 3D & over time? We are launching a Kaggle challenge to push the frontier of AI-powered cell tracking, building on advances like Ultrack & the DaXi lightsheet microscope from the @loicaroyer.bsky.social lab. bit.ly/4bfdzWE

Fantastic work by the team: Thibaut Goldsborough, Jordão Bragantini, Xiang Zhao, Gordon Leary, Teun Huijben, Ilan da Silva Theodoro, Kyle Harrington, Chi-Li Chiu, Walter Reade, María Cruz.

7/ 💰 $60K prize pool ($18K to 1st) · 🗓️ Final submission Sept 29, 2026 Build the next state of the art in cell tracking and help map life as it unfolds. 🔬🐟 👉 www.kaggle.com/competitions... #CellTracking #Kaggle

6/ 💻 You don't need to be a biologist. If you're into computer vision, object detection, segmentation, or graph optimization 📊, this is your problem. It's a code competition (notebooks, GPU/CPU ≤12h). Starter data and a sample submission are live now.

5/ 🧠 Why it matters: accurate single-cell lineages power developmental biology, immunology, and disease research 🩺, letting us ask where every cell comes from and where it ends up as a body takes shape. Better tracking = faster, more reproducible science.

4/ 🗺️ This is the problem behind Zebrahub (the Biohub's "Google Earth" of zebrafish development) and Ultrack 📄, our method in Nature Methods 2025 that topped the Cell Tracking Challenge on dense 3D embryos. Now it's your turn to push the state of the art!

3/ ⚠️ Why it's hard: high cell density, imaging noise, and irregular shapes break automated trackers, and small per-frame errors compound into broken lineages. 🪢 Today, scientists fix this by hand, with countless hours of manual tracking. That's the bottleneck.

2/ 🧫 The data: 3D+time light-sheet movies of fluorescently labeled zebrafish embryo cells (~88 GB training data, stored as Zarr). Thousands of similar-looking nuclei moving, deforming, and dividing. Biggest Dataset EVER! Your task: detect every cell, link it across time, and catch every division. ⏱️

1/ 🧬🔬 How does one cell become an entire animal? We can now film it in 3D 🐟, but turning those movies into accurate cell tracks is brutally hard. Enter our new #Kaggle challenge: $60K prize pool, to help crack 3D+time cell tracking at scale! 🧵👇 www.kaggle.com/competitions... @biohub.org

Cryo-ET is often framed as a tool for in situ protein structure. But what if the real revolution is contextualization? I explore how #teamtomo is redefining what "local" means in organelle biology, revealing membrane states rather than just protein structures. tinyurl.com/localmembrane

Think globally, act locally: Redefining organellar membrane environments through cryo-electron tomography

Early enthusiasm for the “cellular revolution” in cryo-electron tomography (cryo-ET) was largely driven by the promise of resolving protein structures…

sciencedirect.com

You can take a look at a demo tomogram acquired with the xLPP of apo-ferritin on the cryoET data portal here: cryoetdataportal.czscience.com/datasets/10496 Raw data is of course also available for download!

Dataset

cryoetdataportal.czscience.com

In a series of 3 papers and preprints, we’re thrilled to share with you the working laser phase plate. In collaboration with research led by Holger Müller at UC Berkeley, this is a huge innovation in imaging to make small and faint objects inside cells visible. bit.ly/4vK9LVn

Want to build some of the most advanced light-sheet microscopes in the world to watch life assemble itself cell by cell? The Royer Lab @ Biohub is hiring an Optical Engineer (Advanced Light Sheet Microscopy). 🧪🔬💻🔧 #Hardware + #Python + Advanced #Optics job-boards.greenhouse.io/biohub/jobs/...

Optical Engineer, Advanced Light Sheet Microscopy

San Francisco, CA (Hybrid)

job-boards.greenhouse.io

🔬 Tutorial Spotlight: Build custom image analysis tools without starting from scratch. Tim shows you napari's power for microscopy, satellite data, and everything between 🛰️ Extend, visualize, annotate like a pro! #SciPy2026 🔗 scipy2026.scipy.org

A newly released AI tool has generated an atlas of more than one billion predicted protein structures and billions more protein sequences. go.nature.com/4wS3Pen

Move over, AlphaFold: open source model predicts shape of 1 billion proteins

The new open-source atlas, generated by an AI tool called ESMFold2, vastly increases the known protein universe.

go.nature.com

Proteins are the machinery of life. Billions of their sequences have been cataloged—but the biology behind most is still unknown. Today we're releasing ESMFold2, ESMC and ESM Atlas to help change that. Open source, open to every scientist. biohub.ai/esm/protein

🎉 Announcing the naPLari hackathon in Kraków, Poland 🇵🇱, July 24–29 2026, after EuroSciPy! Hack on napari, join deep dives, meet the team. All experience levels welcome! 📝 Register by July 1: napari.typeform.com/naplari-hack #napari #ScientificPython #OpenSource #EuroSciPy #BioImageAnalysis

naPLari Hackathon

Questionnaire for the napari hackathon in Krakow, Poland, July 24-29th, 2026.

napari.typeform.com

Grigory Solomatov, Derya Akkaynak: Conditions for well-posed color recovery in scattering media https://arxiv.org/abs/2605.03837 https://arxiv.org/pdf/2605.03837 https://arxiv.org/html/2605.03837

Today we're announcing the Virtual Biology Initiative—a major new commitment to build the data foundation biology needs to power the next generation of AI models. Next-gen imaging. Molecular engineering tools. Open data infrastructure for the entire scientific community. Read more: bit.ly/3ONTkHO

Biohub launches the Virtual Biology Initiative

A $500M commitment to galvanize a global, open-data effort to build predictive models of the human cell.

bit.ly

Also noting that copick is a great example of impactful work that is enabled here at @biohub.org!

Utz Ermel@uermel.bsky.social · 4mo ago

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

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