We're running a series of community events in the context of the BioFAIR project of the BioVisionCenter: Monthly Open Bioimaging Practices Meetups with presentations by us & community members. Starting off with 3 cool events this fall (see image) (1/6)
We're running a series of community events in the context of the BioFAIR project of the BioVisionCenter: Monthly Open Bioimaging Practices Meetups with presentations by us & community members. Starting off with 3 cool events this fall (see image) (1/6)
📅 Dates:
- Symposium: Nov 10–11, 2025
- Hackathon: Nov 12–14, 2025
📍 Location: Zurich, Switzerland
Full details & registration: www.biovisioncenter.uzh.ch/en/events/Up...
#bioimaging #openscience #OMENGFF #OMEZarr
(1/x 🧵)
📅 Dates:
- Symposium: Nov 10–11, 2025
- Hackathon: Nov 12–14, 2025
📍 Location: Zurich, Switzerland
Full details & registration: www.biovisioncenter.uzh.ch/en/events/Up...
#bioimaging #openscience #OMENGFF #OMEZarr
(1/x 🧵)
• Flexible filters at workflow submission
• Advanced subset processing
• Smarter, scalable run history
• Easier tracking of granular processing steps
Perfect for testing workflows and pinpointing issues fast.
• Flexible filters at workflow submission
• Advanced subset processing
• Smarter, scalable run history
• Easier tracking of granular processing steps
Perfect for testing workflows and pinpointing issues fast.
More flexible workflows, dynamic monitoring, and a new history system for better traceability – built to handle Terabytes of high-dimensional microscopy data in #OME-Zarr.
Full announcement post here: fractal-analytics-platform.github.io/news/2025-04...
More flexible workflows, dynamic monitoring, and a new history system for better traceability – built to handle Terabytes of high-dimensional microscopy data in #OME-Zarr.
Full announcement post here: fractal-analytics-platform.github.io/news/2025-04...
📸 Group picture
🧵 (10/15)
📸 Group picture
🧵 (10/15)
📊 Benchmarking chunk sizes and sharding configurations
📌 Using Xarray to store transformations
📌 Figure 7
🧵 (9/15)
📊 Benchmarking chunk sizes and sharding configurations
📌 Using Xarray to store transformations
📌 Figure 7
🧵 (9/15)
🔗 ome-zarr-models-py → github.com/ome-zarr-mod...
…but this one will actually reduce fragmentation, we promise!
🧵 (8/15)
🔗 ome-zarr-models-py → github.com/ome-zarr-mod...
…but this one will actually reduce fragmentation, we promise!
🧵 (8/15)
✅ Pushed key libraries for Zarr v3 support
✅ Improved ways to open OME-Zarrs more easily in Fiji
📽️ A demo of our progress!
🧵 (7/15)
✅ Pushed key libraries for Zarr v3 support
✅ Improved ways to open OME-Zarrs more easily in Fiji
📽️ A demo of our progress!
🧵 (7/15)
📌 Figures 4 & 5
🧵 (6/15)
📌 Figures 4 & 5
🧵 (6/15)
📌 How Zarr isn’t really a file format but more of an API
📌 How the Requests for Comment (RFC) process is used to evolve the OME-Zarr spec
🔗 doi.org/10.5281/ZENO...
📸 RFC screenshot
🧵 (4/15)
📌 How Zarr isn’t really a file format but more of an API
📌 How the Requests for Comment (RFC) process is used to evolve the OME-Zarr spec
🔗 doi.org/10.5281/ZENO...
📸 RFC screenshot
🧵 (4/15)
🧵 (3/15)
🧵 (3/15)
1️⃣ The OME-Zarr specification
2️⃣ Interoperable workflows using OME-Zarr
3️⃣ The OME-Zarr Java ecosystem
4️⃣ The OME-Zarr Python ecosystem
📌 Figure 1 gives an overview!
🧵 (2/15)
1️⃣ The OME-Zarr specification
2️⃣ Interoperable workflows using OME-Zarr
3️⃣ The OME-Zarr Java ecosystem
4️⃣ The OME-Zarr Python ecosystem
📌 Figure 1 gives an overview!
🧵 (2/15)
(through funding from NFDI4BIOIMAGE) and travel grants through CZI Science.
Finally, we'd also like to thank our industry sponsor
Yokogawa. (3/3)
(through funding from NFDI4BIOIMAGE) and travel grants through CZI Science.
Finally, we'd also like to thank our industry sponsor
Yokogawa. (3/3)