Run 3D morphometrics on the cloud in minutes — no setup

GPU-enabled JetStream2 instances, pre-loaded with 3D Slicer and SlicerMorph — launched and managed entirely through GitHub Issues.

Instance Management

Members only — new users Join first. Seeing a 404? Sign in to GitHub, or accept your invitation (check invitations).

New user? Join → MorphoCloud in Classrooms → MorphoCloud in Workshops →

Instance availability and JetStream2 status

Current vacancy on JetStream2 for the flavors we offer. We advise choosing the default flavor (g3.large), which is the most reliably available. Each instance includes a 100 GB persistent data volume mounted at /media/volume/MyData.

JetStream2: Scheduled maintenance — Jun 14, 05:00–14:00 PDT status page →

Flavor	vCPU	RAM	GPU	Available now
g3.large (default)	16	60 GB	A100 (½, 20 GB)	101
g3.xl	32	120 GB	A100 (full, 40 GB)	8
g4.xl	12	120 GB	L40S (48 GB)	11
m3.xl	32	125 GB	—	16
r3.large	64	500 GB	—	32
r3.xl	128	1000 GB	—	12

Live from the JetStream2 scarce-resource dashboard, cached up to a few minutes. available · limited · none.

Get started

1. Join

New to MorphoCloud? Onboard with your ORCID iD at join.morphocloud.org to get added to the MorphoCloud GitHub organization.

2. Request

Already a member? Open an instance request in the instance repository and drive it with /create.

3. Learn

Browse documentation and tutorials for commands, workflows, and tips.

Installed software

Every instance comes pre-loaded with 3D Slicer and a curated suite of morphometrics and imaging tools.

Software / tool	Description
3D Slicer	v5.10
SlicerMorph	ImageStacks, GPA, ALPACA, and other tools
DeCA	Morphometrics via dense correspondence analysis
Photogrammetry	Generate textured 3D models from photographs
MorphoDepot	Collaborative segmentation and data sharing
MEMOs	AI based organ segmentation for E15 mouse embryos
NNInteractive	AI assisted interactive segmentation
PyTorch	GPU accelerated tensor library for AI tools
R/Rstudio	Provided by JetStream2
Python3	Provided by JetStream2

Events

Aug 6–7 2026

Teaching 3D Morphology with SlicerMorph and MorphoCloud

Online workshop · 9 a.m.–1 p.m. Seattle time

A two-day workshop: Day 1 covers MorphoCloud operations and setup customization; Day 2 covers using MorphoDepot to assign and monitor 3D segmentation tasks. Register for either day — Day 1 is a prerequisite for Day 2.

Resources

SlicerMorph Desktop tools for 3D morphometrics — the project behind MorphoCloud
MorphoDepot Collaborative 3D anatomical segmentation, built on GitHub
SlicerMorph tutorials Step-by-step walkthroughs of the tools and workflows
MorphoCloud documentation User guide, commands, and instructor/workshop setup

Funding & Acknowledgement

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 cite our paper — Maga, A. M., & Fillion-Robin, J.-C. (2026). MorphoCloud: Democratizing Access to High-Performance Computing for Morphological Data Analysis. F1000Research. https://doi.org/10.12688/f1000research.176328.1 — and 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).