14-day cardiac organoids
14-day cardiac organoids differentiated from the same human induced pluripotent stem cells. Bright field video shows synchronized beating at approximately 60 bpm.
Open ecosystem for organoids, chips, and microphysiological systems
PhysioVerse: accelerating open innovation for advanced in vitro and microphysiological systems
PhysioVerse connects people, datasets, tools, workflows, standards exchange, training, and translational pathways for organoids, body-on-chip systems, tissue chips, and related microphysiological systems. The goal is to reduce fragmentation and help the field move toward reproducible, interoperable, and widely adoptable approaches.
AboutAbout PhysioVerseLeadership, governance, and the shared vision behind PhysioVerse.StartOn-RampChoose the right entry point for users, contributors, developers, curators, and partners.FindData LibraryDiscover reusable records, metadata, contributed resources, and data access pathways.SearchFind DataOpen public search pathways for MPS records, repository links, and dataset discovery.EngineMPS EngineExplore study metadata, publication links, repository links, and model-system information.FinderPhysioVerse Data FinderSearch organized OSE study records and connect metadata with reusable resources.ToolTranscriptomics Biomarker IdentificationUse the transcriptomics entry point for biomarker, pathway, and cross-model analysis workflows.ToolToward StandardizationEvaluate biological fidelity and support standardized comparison of advanced model systems.MethodsStandardization MethodologyReview the methodological foundation behind the standardization workflow.ToolsToolsOpen analysis tools, search tools, and technical resources from one entry point.OpenGitHub RepositoriesBrowse public PhysioVerse repositories, documentation, examples, releases, and citation resources.GitHubToward StandardizationReference-anchored benchmarking for evaluating biological fidelity of advanced in vitro models.GitHubDGE Tool Choice BenchmarkBenchmark edgeR and DESeq2 across sensitivity, robustness, and biological interpretation.GitHubPhysioVerse-OSEPublic entry point for the PhysioVerse ecosystem, contribution pathways, and open resources.GitHubMPS Data CommonsCommunity-curated discovery of public MPS datasets, accessions, DOIs, and repository links.GitHubMPS Minimum Metadata StandardWorking draft for the minimum information needed to understand and reuse MPS data.GitHubMPS Model & System DescriptorsShared terminology for organoids, tissue chips, OTEs, organ-on-chip, and body-on-chip systems.GitHubMPS Experimental Conditions StandardReporting fields for media, dose, timing, materials, environment, stimulation, and device context.GitHubMPS Assay & Endpoint DictionaryShared definitions for assays, biological endpoints, units, and measurement context.GitHubMPS Reference AtlasCommunity nomination and evaluation of biological reference datasets for benchmarking.GitHubMPS Validation FrameworkFit-for-purpose validation evidence and reporting considerations for MPS applications.GitHubMPS Reproducibility CommonsPublic evidence on cross-laboratory reproducibility, variability, and robustness.GitHubMPS Multimodal Data StandardLink omics, imaging, histology, video, functional, and sensor data across studies.GitHubMPS Protocol CommonsOrganize public protocols, SOP references, dataset links, and publication context.GitHubMPS Community ChallengesFocused collaborative efforts around MPS data, standards, validation, and curation needs.ResourcesResourcesFind practical materials that support contribution, discovery, reuse, and adoption.StandardsStandards ExchangeAlign descriptors, metadata practices, benchmarking needs, and reusable workflows.StandardsStandardsReview standards pathways that support interoperability and shared interpretation.ContributeSubmit DataPrepare dataset records, metadata, files, repository links, and supporting documentation.MetadataContributor MetadataOrganize model, assay, file, provenance, and contributor information for submissions.OpenOpen SourceLearn how open resources connect tools, data, standards, and collaborative development.BuildDevelopersConnect public documentation, examples, and technical entry points for developers.GovernanceGovernanceReview the public governance overview for transparency, accountability, and growth.ResponsibleResponsible DataReview guidance for responsible contribution, access, reuse, and community trust.PolicyPoliciesFind policy information connected to data contribution, reuse, and participation.PrivacySecurity and PrivacyReview security and privacy information for account and data workflows.CommunityCommunityConnect with PhysioVerse activities, participation pathways, and shared resources.LearnLearning NetworkFind onboarding, training, and learning resources for users, contributors, curators, and teams.UpdatesNews and EventsFollow platform updates, workshops, release notes, and participation opportunities.IndustryFor IndustryExplore practical adoption paths for advanced model systems and translational workflows.SearchSite SearchSearch PhysioVerse pages, resources, tools, and project information.PartnerMOSSDOConnect with standards and manufacturing-oriented partner activities.PartnerRegMICExplore RegMIC partner information and manufacturing innovation activities.MeetingRegMIC 2026 MeetingView meeting information for the 12th Annual RegMIC Meeting in Charlotte, North Carolina.SupportContactReach out about participation, data contribution, collaboration, training, or platform questions.
Standards and manufacturing partners
MOSSDO and RegMIC
Connect with the organizations advancing consensus standards, validation, and regenerative manufacturing across the PhysioVerse ecosystem.
About MOSSDO
The Microphysiological and Organoid Systems Standards Development Organization (MOSSDO) is a federally funded multi-stakeholder initiative focused specifically on establishing consensus-based standards for organoids, microphysiological systems (MPS), and body-on-a-chip technologies. MOSSDO develops frameworks for reproducibility, validation, and interoperability, enabling these platforms to be more reliably adopted across research, regulatory, and translational settings. In coordination with enabling ecosystem efforts such as PhysioVerse, MOSSDO provides the standards foundation that supports data integration, comparability, and broader field-wide adoption.
About RegMIC
The Regenerative Manufacturing Innovation Consortium (RegMIC), founded in 2014, is a national initiative that brings together stakeholders from industry, academia, and government to advance the manufacturing, scale-up, and commercialization of regenerative technologies. Through cross-sector collaboration, RegMIC addresses key challenges in translation, including process development, regulatory alignment, and the establishment of best practices across cell, tissue, and advanced in vitro systems.
GitHub repositories
Public access to PhysioVerse repositories
PhysioVerse connects visitors to the public GitHub organization, selected repositories, project summaries, documentation, release notes, and citation information.
Public GitHub resources
- PhysioVerse-OSE organization page
- Selected open repositories
- Documentation, examples, and release notes
- Citation files and repository links
What PhysioVerse enables
Core capabilities that support a professional open ecosystem
PhysioVerse helps teams discover, contribute, align, and translate advanced in vitro and microphysiological system resources through shared infrastructure.
Discover reusable datasets
Explore metadata-rich resources that make advanced in vitro and microphysiological system data easier to find, compare, and reuse.
ExploreSubmit and review resources
Contribute datasets, organize supporting files, and move submissions through transparent review and curation workflows.
ExploreAlign descriptors and standards
Use shared descriptors, metadata guidance, and standards exchange resources to improve interoperability across teams.
ExploreConnect tools, training, and translation
Link open-source tools, learning resources, and translational pathways that support adoption and practical use.
ExploreExemplar reusable media
Making organoid images and videos reusable for downstream AI/ML
PhysioVerse can connect visual data such as microscopy images and beating organoid videos with structured metadata, biological context, provenance, assay descriptors, and contributor credits. This makes exemplar datasets easier to find, compare, curate, and prepare for downstream AI/ML training.
14-day liver organoid
14-day liver organoid made from a mixture of primary liver cells. The red staining (albumin) shows albumin being produced from the hepatocytes and the green staining (vimentin) indicates the presence of hepatic stellate cells.
26-day cerebral organoid
26-day cerebral brain organoid differentiated from human induced pluripotent stem cells. The left panel shows large cavities morphologically similar to ventricles, lined with stratified epithelium. The right panel shows vimentin-positive neuroprogenitor cells and Sox2-positive neural stem cells.
For further information, see these related records:
Learn more
Explore the PhysioVerse overview
Open the sections below for a deeper look at the mission, value, and participation paths within the PhysioVerse open ecosystem.
What is PhysioVerse?
PhysioVerse is an open ecosystem for organoids, body-on-chip systems, tissue chips, organ tissue equivalents, and related microphysiological systems. It connects people, datasets, tools, workflows, standards exchange, training, and translational pathways so the field can move toward reproducible, interoperable, and widely adoptable approaches.
Why does PhysioVerse matter?
Society is at a critical juncture, relying on limited methods and animal testing to develop transformative technology. For a field that is attempting to evolve rapidly, this has created barriers and fragmentation has impeded innovation and access to new therapies. We are in search of bold pioneers to help create ground-breaking approaches that improve human and animal health.
Through the development and adoption of organoids and body-on-chip systems, also known as microphysiological systems, the field can:
- Improve toxicity assessments of drugs, cosmetics, pesticides, and environmental exposures in more human-relevant systems.
- Reduce reliance on animal models by creating alternatives and complements to traditional animal models.
- Expand understanding of biological pathways and support more accurate disease models.
- Screen drug candidates earlier for effectiveness and safety signals before later-stage development.
- Capture patient-specific biology and support progress toward translational applications.
- Improve organ transplantation outcomes and strengthen translation to patient and animal health.
What makes PhysioVerse an open-source ecosystem?
An open-source ecosystem depends on more than a code repository. PhysioVerse provides an innovation platform for people and organizations to curate specialty datasets, validate, benchmark, search datasets, develop models, submit files, improve metadata practices, contribute to tool development, review submissions for enhancements, support and receive training, and help institutions adopt shared workflows.
This platform helps communities reduce fragmentation and improve reproducibility, discovery, manufacturing, shipping and storage, analytical capabilities, and translation for organoid, chip-based, and related advanced model systems. This work contributes to standards, interoperability, workforce development, economic development, and translation through partnerships with the NSF Regenerative Medicine Engine in North Carolina, WFIRM, MOSSDO, and RegMIC.
Who participates in PhysioVerse?
PhysioVerse is designed for users, data contributors, tool developers, curators, researchers, industry partners, institutions, training teams, standards contributors, and translational stakeholders. Each group can participate in a practical way: discovering data, submitting resources, improving metadata, contributing tools, joining learning activities, reviewing submissions, or helping institutions adopt shared workflows.
How can I get started?
Start with the On-Ramp if you are new to the ecosystem. Use the Data Library to discover resources, choose Contribute to submit data or metadata, explore Tools and GitHub for technical resources, or visit Community and News and Events to join activities and follow updates.
Where should I start?
Choose the path that matches what you want to do
PhysioVerse connects users to the right entry point, whether they want to find data, contribute resources, use tools, align metadata, join the community, or learn how to participate.
I am new to PhysioVerse
Start with the On-Ramp to choose the right path for your role.
Open On-RampI want to find dataUse the Data Library and Find Data pages to discover searchable records and resources.
Go to Data LibraryI want to submit dataPrepare dataset records, metadata, files, repository links, and supporting documentation.
Submit DataI want to describe metadataUse contributor metadata guidance to organize model, assay, file, and provenance information.
View MetadataI need tools or codeExplore open-source tools, workflows, examples, GitHub resources, and sandbox activities.
View GitHubI care about standardsUse Standards Exchange resources to align descriptors and practices across teams.
View StandardsI want to learnFind onboarding, training, and learning resources for users, contributors, curators, and institutions.
Learning NetworkI want to join the communityConnect through Community, News and Events, and Contact pages.
Join CommunityI am from industryExplore translational pathways and opportunities to connect advanced model systems with practical adoption.
Industry PathI need supportReach out about participation, data contribution, collaboration, training, or platform questions.
Contact TeamModel spotlight
A human-relevant in vitro model example
The airway organ tissue equivalent (OTE)-on-a-chip model is one example of how advanced in vitro and microphysiological systems can mimic important features of the human airway. By recreating tissue organization and dynamic airway behavior, models like this can support disease studies, exposure studies, toxicity assessment, drug discovery, and more human-relevant research while helping reduce reliance on animal models.
Why data compatibility matters
Models like this can improve drug discovery, strengthen safety testing, reduce reliance on animal models, and help accelerate better therapies. Their value grows when imaging, omics, and other data modalities can be interpreted, compared, and reused across studies instead of remaining isolated within individual laboratories.
That is why an open-source ecosystem like PhysioVerse is needed. PhysioVerse helps connect in vitro and microphysiological system data with shared metadata, model descriptors, protocols, assay outputs, file relationships, and review workflows. By making these data more standardized and discoverable, PhysioVerse can help the community compare models across laboratories, build confidence in results, support regulatory and translational use, and move the field toward more reproducible and human-relevant science.
News and Events
Updates, learning opportunities, and community activities
Follow platform updates, workshops, release notes, standards activities, training opportunities, and ways to participate in PhysioVerse.
News and Events
Follow community workshops, platform updates, release notes, and opportunities to participate.
Standards activities
Track practical conversations around descriptors, metadata, benchmarking, and interoperability.
Learning opportunities
Find onboarding, training, and learning resources for contributors, users, curators, and institutions.
Participate in PhysioVerse
Help build shared resources for advanced model systems
Join as a user, data contributor, tool developer, curator, training contributor, industry partner, institutional participant, or translational stakeholder.