Amplifying the impact of marine research imagery with Marimba, an open-source Python framework

Amplifying the impact of research imagery with Marimba, an open-source Python framework
Chris Jackett unveiled Marimba to a global audience of scientists and engineers at the recent Marine Imaging Workshop 2024. Credit: Alan Williams/CSIRO

It’s not always easy to see the big picture when deeply immersed in a project. Innovation often requires stepping back to assess how we can really amplify the impact of our science.

Chris Jackett and his colleagues in the Sustainable Marine Futures program focus on advancing marine biodiversity research. They collect and process extensive marine image datasets. Their desire to maximize the impact of their findings and improve accessibility for the scientific community led them to create Marimba.

Symphony of efficiency and collaboration

Marimba is a Python framework designed in collaboration with the Monterey Bay Aquarium Research Institute (MBARI). It streamlines the structuring, managing and processing of scientific image datasets while adhering to the globally recognized FAIR principles. These are a set of standards that intend to make data “Findable, Accessible, Interoperable and Reusable.”

“In the vast ocean of scientific data, finding, accessing, and utilizing marine imagery has long been a challenge for researchers worldwide,” Jackett said.

“Compounded by diverse data formats, rapidly increasing volumes of imagery, and inconsistent workflows. Since there wasn’t a system available that could efficiently process and package our scientific marine image datasets while adhering to FAIR principles, we built one.”

Key features and impact of Marimba

“Marimba can help anyone involved in science working with imagery and deriving data from it,” Jackett said.

“It doesn’t matter where the imagery is sourced from—whether it’s from a Canon DSLR or a GoPro system. It can even be used for more specialized instruments like imaging flow cytometers.”

Marimba has been designed to meet three core needs.

Standardization

It provides a standardized structure and context for managing the entire workflow of FAIR image datasets, including importing, processing, packaging, and distribution.

Flexibility

Marimba is highly customizable, adapting to the diverse requirements of various imaging instruments used in scientific research.

Processing

It automates common and repetitive tasks while providing access to powerful built-in image processing features, significantly accelerating research workflows.

Marimba’s global launch

Jackett recently unveiled the capabilities of Marimba to a global audience of scientists and engineers at the 5th Marine Imaging Workshop 2024.

“The launch marks a significant milestone for Marimba, offering researchers a powerful tool to enhance their work and collaborate more effectively,” Jackett said.

“It holds the potential to transform how we understand and protect our oceans—allowing us to extract deeper insights, accelerate research and foster international collaboration that could drive future marine conservation and resource management strategies.

“By designing Marimba as an open-source tool, CSIRO ensures that it can continue to grow, improve, and potentially be used by scientists in many different fields of research—and magnify its impact.

“It’s a different type of impact than publishing a scientific paper in a high-impact journal, but developing these innovative solutions is critical for researchers both within CSIRO and the broader scientific community.”

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Amplifying the impact of marine research imagery with Marimba, an open-source Python framework (2024, November 1)
retrieved 1 November 2024
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