Quantitative imaging instruments produce a large number of images of plankton and marine
snow, acquired in a controlled manner, from which the visual characteristics of individual …

Plankton imaging systems supported by automated classification and analysis have
improved ecologists' ability to observe aquatic ecosystems. Today, we are on the cusp of …

We introduce a self-supervised learning method that focuses on beneficial properties of
representation and their abilities in generalizing to real-world tasks. The method …

Given an existing trained neural network, it is often desirable to learn new capabilities
without hindering performance of those already learned. Existing approaches either learn …

With the advent of large labelled datasets and high-capacity models, the performance of
machine vision systems has been improving rapidly. However, the technology has still major …

The rise of in situ plankton imaging systems, particularly high‐volume imagers such as the In
Situ Ichthyoplankton Imaging System, has increased the need for fast processing and …

Studying marine plankton is critical to assessing the health of the world's oceans. To sample
these important populations, oceanographers are increasingly using specially engineered in …

Plankton microorganisms play a huge role in the aquatic food web. Recently, it has been
proposed to use plankton as a biosensor, since they can react to even minimal perturbations …

In situ digital inline holography is a technique which can be used to acquire high‐resolution
imagery of plankton and examine their spatial and temporal distributions within the water …

Planktonic organisms including phyto-, zoo-, and mixoplankton are key components of
aquatic ecosystems and respond quickly to changes in the environment, therefore their …