Skip to main content

Field Studies

From deployment to defensible data

Imaging workflows built for the field.

Pelagia supports pelagic imaging across the full range of research operations—from real-time interpretation during acquisition to processing accumulated collections after a campaign. It is designed to scale from focused laboratory and pilot datasets to continuous, multi-camera surveys producing hundreds of terabytes.

Pelagia’s development is grounded in shadowgraph imagery produced by ISIIS-DPI plankton cameras, but its workflow is not defined by a single instrument. By organizing imagery together with acquisition context, environmental observations, processing history, and scientific review, Pelagia can be adapted to different imaging platforms, deployment strategies, and research questions.

Live → archivedInterpret observations during acquisition or revisit existing collections.
Focused → continuousWork with a reference library, pilot dataset, or sustained survey.
Instrument-awareAdapt the workflow while keeping platform-specific context explicit.

One workflow, different scales

Meet each program where it operates.

Field imaging programs differ in duration, acquisition rate, platform, staffing, and scientific goals. Pelagia provides a common path from source imagery to reviewable observations without requiring every project to operate at the same scale.

Real-time operations

Monitor incoming imagery, processing status, and biological observations while sampling is underway.

Focused collections

Work with benchtop imagery, reference libraries, pilot deployments, and targeted experiments without survey-scale infrastructure.

Sustained surveys

Process continuous or repeated observations from towed vehicles, profilers, moorings, and other high-volume platforms.

Accumulated archives

Apply transparent, repeatable processing and review to collections acquired before Pelagia was deployed.

Platform adaptable

The instrument changes. The scientific workflow remains recognizable.

Pelagia’s strongest demonstrated fit is high-volume shadowgraph imagery from ISIIS-DPI plankton cameras, but its underlying workflow extends beyond that instrument family. Towed line-scan systems, area-scan cameras, profilers, stationary observatories, benchtop imagers, and other platforms all produce variations of the same operational problem.

Preserve the source observation. Connect it to time, position, instrument state, and environmental context. Identify useful targets. Review results. Create defensible data products. Pelagia provides a common environment for that work while allowing instrument-specific acquisition details and processing methods to remain explicit.

A full pelagic image frame with a candidate organism marked in its original observational context.
A cropped plankton region of interest with a scale bar.

Experience behind the workflow

Designed by people who understand field imaging.

Pelagia draws on experience across instrument engineering, deployment, scientific operations, plankton ecology, high-throughput computing, and image review.

Engineering & deployment Bellamare

Bellamare brings more than two decades of oceanographic engineering and deployment experience. Cedric Guigand has supported more than 70 scientific missions, helping ground Pelagia in the practical realities of integration, shipboard operations, changing configurations, and long-term system support.

Explore Bellamare’s field experience →

Imaging science & ecology Adam Greer and the ZERO-C Lab

Adam and his collaborators have applied in situ imaging across continental shelf seas, laboratory studies, and mesocosm experiments. That work connects imaging systems to the ecological questions, validation practices, and spatial scales they are meant to address.

Explore the ZERO-C Lab →

Operations & processing Icy Seas Co-Laboratory

Icy Seas contributes direct experience operating DPI-3 in the Northern Gulf of Alaska, managing imagery from its three ISIIS-DPI plankton cameras, developing processing and classification workflows, and turning high-volume observations into analysis-ready records.

Explore the Northern Gulf of Alaska study →

Before, during, and after

Designed to facilitate fieldwork—not only post-process it.

Before deployment

Define imagery sources, metadata, processing methods, labels, review needs, and expected outputs before acquisition begins.

During acquisition

Monitor image streams and processing, identify operational problems, and begin biological interpretation while sampling continues.

After recovery

Resume processing, conduct scientific review, refine methods, and export traceable products for analysis and publication.

Bring us the instrument, deployment, or collection.

Whether the need is real-time interpretation, a focused pilot, a sustained observing program, or an existing archive, we can help define a practical path from imagery to defensible observations.