We moved the AI@MBL course "Deep Learning for Microscopy Image Analysis" to HHMI Janelia (@hhmijanelia.bsky.social).

Join us for two weeks of intense lectures, exercise, and hands-on project work!

Course dates: June 4-18 2026
Application by: January 15 2026

www.janelia.org/you-janelia/...

📢 Apply now for the first DL@Janelia Bootcamp (June 4–18, 2026)! 2 weeks of hands-on deep learning for microscopy: train models on your own data, Python needed (no ML experience), housing + meals included, no registration fee

📍 Janelia Research Campus, VA
🗓️ Apply by Jan 15, 2026
🔗 shorturl.at/j4sgY

📢 Apply now for the first DL@Janelia Bootcamp (June 4–18, 2026)! 2 weeks of hands-on deep learning for microscopy: train models on your own data, Python needed (no ML experience), housing + meals included, no registration fee

📍 Janelia Research Campus, VA
🗓️ Apply by Jan 15, 2026
🔗 shorturl.at/j4sgY

We’ve upgraded ShapeEmbed 🎉 ShapeEmbedLite decodes latent codes via an MLP to guarantee valid EDMs, making it lighter and ideal for small microscopy datasets or limited compute. Hear more at my BIC workshop talk or poster at #ICCV2025! Try it out at github.com/uhlmanngroup...

🤝 And collaborators: @adrianjacobo.bsky.social, Akilandeswari Balasubramanian, Tiger Lao, @edhirata.bsky.social @mattersoflight.bsky.social , @lammerdinglab.bsky.social Richa Agrawal, Alexandre X. Falcao @alexandredizeux.bsky.social Andrew Sweet and @aganders3.bsky.social @cziscience.bsky.social

Finally, a fun collaboration published in Optica:

opg.optica.org/optica/fullt...

Fun times at the @mblscience.bsky.social , playing with optical toys with @edhirata.bsky.social and others :)

Excited to share an update on #DynaCLR—a self-supervised method to learn dynamic cell & organelle embeddings from time-lapse microscopy using contrastive learning.
DynaCLR combines single-cell tracking & time-aware sampling for robust representations.

arxiv.org/abs/2410.11281

Excited to share an update on #DynaCLR—a self-supervised method to learn dynamic cell & organelle embeddings from time-lapse microscopy using contrastive learning.
DynaCLR combines single-cell tracking & time-aware sampling for robust representations.

arxiv.org/abs/2410.11281

We're looking for a software engineer (recent grad BS/MS) excited to build and deploy high-performance tools for dynamic imaging of cells, tissues, and organs 🐟🦠🔬 — think terabytes of image data, cell phenotyping, and high-throughput microscopy.
job-boards.greenhouse.io/chanzuckerbe...