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We are building a living knowledge ecosystem where plant and geobiology research meet the frontier of spatial transcriptomics.
Our work connects biology, technology, and imagination — linking the molecular patterns of life to the landscapes they shape.
By developing open tools, shared templates, and collaborative pathways, we make spatial –omics accessible to anyone exploring how cells, tissues, and ecosystems speak to one another.
From kelp forests to soil microbiomes, from the roots of plants to the strata of geological time, our goal is to give scientists new ways to see life in context.
This is not just a lab initiative — it is a collective act of mapping, turning discovery itself into shared terrain.
Together, we are nurturing a new branch of science that listens as carefully as it measures.
(For partners, collaborators, and leadership planning)
The Spatial Transcriptomics for Plants and Geobiology (STmet) initiative evolves into a center of analysis and coordination — a place where instruments, data, and people converge to define the next phase of environmental and biological research.
Reproducibility and Access
Every protocol, template, and workflow will be openly documented, reproducible, and adaptable.
The STmet framework serves as both a language and a toolset — standardizing collaboration through modular analysis templates and reporting systems.
Integration Across Scales
The analysis center will house a spatial transcriptomics platform (e.g. Xenium, GeoMx, MERFISH, or related instruments) with capacity for cross-domain use: plant tissues, microbial consortia, mineralized interfaces, and hybrid biological–geological systems.
It will support visiting scientists, remote collaborations, and hybrid field–lab experiments that connect local ecosystems to global data infrastructures.
Knowledge as Infrastructure
Beyond protocols or pipelines, the center functions as a connective medium — linking researchers through shared archives, training, and versioned datasets.
The ecosystem itself becomes the experiment: a living network of learning, synthesis, and iteration.
We envision Verdant as an open node in a constellation of discovery — bridging the digital, biological, and ecological through grounded, reproducible practice.
We build not in isolation but in resonance.
Each dataset, each collaborator, and each instrument becomes part of a larger rhythm:
science as stewardship, curiosity as collaboration, precision as kindness.
The Spatial Transcriptomics for Plants and Geobiology initiative exists to sustain that rhythm — steady enough to be trusted, open enough to surprise, light enough to grow.
This wiki is the shared documentation space for the Verdant Center for Spatial Biology.
It acts as both a public knowledge commons and an internal coordination network.
You will need an account to get started editing and viewing project/user pages -- for that we ask you reach out to us on LinkedIn or submit a form on our website.
Before adding labs, projects, or methods, start with the basics.
The Getting Started page has full instructions.
| Value | Description |
|---|---|
| Transparency | All data, parameters, and analyses are documented for reproducibility. |
| Interoperability | Methods and data formats align across projects. |
| Distributed Collaboration | Labs retain autonomy while sharing standardized frameworks. |
| Knowledge Stewardship | Every page represents a contribution to a collective record. |