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Generate synthetic cryo-ET data and train your model for particle picking in real data.
Impressive work by Mohamad Harastani:
www.nature.com/articles/s41...
Impressive work by Mohamad Harastani:
www.nature.com/articles/s41...
Template Learning: Deep learning with domain randomization for particle picking in cryo-electron tomography - Nature Communications
Particle picking is a key bottleneck in bridging structural and cell biology with cryo-electron tomography. Here, authors develop Template Learning, using domain-randomized simulations to train deep l...
www.nature.com
October 17, 2025 at 3:53 PM
Generate synthetic cryo-ET data and train your model for particle picking in real data.
Impressive work by Mohamad Harastani:
www.nature.com/articles/s41...
Impressive work by Mohamad Harastani:
www.nature.com/articles/s41...
A question for the experts: Can you recognize nucleosomes and linker DNA in this data?
Find an updated version of our manuscript in
www.biorxiv.org/content/10.1...
Find an updated version of our manuscript in
www.biorxiv.org/content/10.1...
April 17, 2025 at 6:14 AM
A question for the experts: Can you recognize nucleosomes and linker DNA in this data?
Find an updated version of our manuscript in
www.biorxiv.org/content/10.1...
Find an updated version of our manuscript in
www.biorxiv.org/content/10.1...