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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 — preloaded with 3D Slicer and SlicerMorph — by simply opening and commenting on GitHub issues.

✨ What You Can Do with MorphoCloud

🖥️ Available Instance Types

Flavor RAM Cores GPU Storage
g3.l* 60GB 16 A100 (20GB) 100GB
g3.xl 125GB 32 A100 (40GB) 100GB
m3.x 250GB 64 None 100GB
r3.l 500GB 64 None 100GB
r3.xl 1000GB 128 None 100GB

*g3.l is the default instance.
Check real-time JetStream2 resource availability →

🔑 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.

🚀 Quick Start

🖼️ Desktop Environment

🙏 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).