Image-based analysis
Calcium imaging
Recording preparation, candidate regions, trace extraction, and researcher review. Specific methods are selected for the preparation.
Research & capabilities
Your science.
A workflow built around it.
Neuroscience imaging and analysis are our starting point. We bring processing, researcher judgment, and the history of an analysis into one connected workflow.
Current focus
The capabilities to
move analysis forward.
Two starting modalities. A connected approach to processing, review, and provenance.
Signal-based analysis
Fiber photometry
Align channels, apply correction and normalization, and compare event-aligned activity. Retain acquisition settings and method choices for researcher review.
Across the workflow
Analysis orchestration
Connect processing stages and their inputs, parameters, and derived artifacts.
Researcher QC
Review outputs and retain the scientific reasons for acceptance, exclusion, or another analysis pass.
See scientific review in practiceVersioning & provenance
Keep source data, method versions, parameters, and review decisions connected to the outputs.
Experimental design & acquisition
Know how the data
was collected.
An analysis starts before the first processing step. Connect the experiment, the recording and the researcher’s decisions so the result retains a useful history.
01 / Experiment
Know the setup.
Start with the scientific question and the conditions that give a recording meaning. Connect the project and preparation to the lab, instrument setup and relevant profiles.
The question and the setup belong to the same research record.
What stays connected
- Experimental design
- Project, experiment, preparation and protocol
- Instrument setup
- Site, equipment and instrumentation profile
02 / Acquisition metadata
Record the acquisition.
Retain channels, sampling rates, exposure, and event timestamps where relevant to the recording. Link those acquisition settings to source files and lab notes so researchers can check how the measurements were made.
Acquisition settings describe how the data were collected. Processing settings describe what happens next.
What stays connected
- Acquisition
- Channels, exposure and sampling
- Alignment
- Clock, triggers and companion streams
- Source record
- Experiment and setup references, source files and researcher notes
03 / Reviewed work
Make the work reusable.
Select the recordings and interval needed for the question. Carry methods and parameters into processing, then connect scientific review and agreed analyses to their outputs.
Trace a result to the reviewed outputs, source recording, and acquisition settings.
What stays connected
- Analysis scope
- Selected recordings and intervals
- Method
- Run profile, versions and parameters
- Scientific judgment
- Review decisions and the reasons behind them
Validated workflow state
Know what was run.
Know what was accepted.
A completed process becomes an accepted workflow through scientific review. Retain the technical state and the basis for acceptance, so the next analysis has a clear reference.
The analysis record
Source & acquisition
Recording identity, acquisition details, and the selected subset.
Method & version
Workflow version, processing code, and model version where used.
Parameters & configuration
The explicit settings used for this analysis.
Researcher review
Decisions, exclusions, and the responsible reviewer.
Accepted state & history
The accepted configuration and its relationship to later versions.
Capabilities grow
through the work.
Additional neuroscience workflows are added as they are implemented and validated.
If your modality or analysis is not represented here, a conversation can establish what fits an existing workflow and what would need further development and evaluation.
How a workflow becomes operationalResearch operations
The operation behind the science.
Bring acquisition records, processing jobs, and reviewed outputs into an environment your lab can operate and your institution can support.
A conversation, grounded in your work
Let’s start with your science.
Bring your research question, your current workflow, and the part that needs to work better.