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MorphoCloud provides on-demand cloud instances and reusable GitHub workflows to support computational morphology, 3D morphometrics, and biomedical imaging research.

It allows researchers and educators to launch powerful JetStream2 virtual machines β€” preloaded with 3D Slicer and SlicerMorph β€” by simply opening and commenting on GitHub issues.

✨ What You Can Do with MorphoCloud

πŸ–₯️ Available Instance Types

Flavor RAM Cores GPU Storage Use Cases
g3.l* 60GB 16 A100 (20GB) 100GB General purpose morphology and morphometrics
g3.xl 125GB 32 A100 (40GB) 100GB Photogrammetry, NNInteractive, AI applications
m3.x 250GB 64 None 100GB Computationally intense tasks that don’t require GPU; eg., Image registration with ANTsPy
r3.l 500GB 64 None 100GB Image registration with larger dataset
r3.xl 1000GB 128 None 100GB Image registration with larger dataset

*g3.l is the default instance and is usually more available than other instance flavors.
Check real-time JetStream2 resource availability β†’

πŸ”‘ Commands

Once approved, you can control your instance from the issue itself:

Command Description
/create Provision a new instance
/shelve Suspend (turn off) instance
/unshelve Resume shelved instance
/delete_instance Delete an instance
/delete_volume Remove associated storage
/renew Extend lifespan by 4 hours
/email Resend access email

See the full command reference.

πŸš€ Quick Start

πŸ–ΌοΈ Desktop Environment

πŸ™ Funding & Acknowledgments

MorphoCloud services, including MorphoCloud On-Demand Instances, are supported by funding from the National Science Foundation (DBI/2301405) and National Institutes of Health (NICHD/HD104435). MorphoCloud runs on cyberinfrastructure that is made available by current and previous funding from the National Science Foundation (JetStream2: OAC/2005506, Exosphere: TI/2229642). Initial development of SlicerMorph was previously supported by National Science Foundation (DBI/1759883).

If you use any of the MorphoCloud services for your project, please acknowledge our funders with this statement:

This study relied on cyberinfrastructure supported by grants from the National Science Foundation (MorphoCloud: DBI/2301405; JetStream2: OAC/2005506; Exosphere: TI/2229642) and the National Institutes of Health (MorphoCloud: NICHD HD104435).