Taxonomy from images
The taxonomy of plankton has been a constant field of study for over two centuries but, with the advent of quantitative plankton imaging instruments, the way we see those organisms has changed. This calls for a new effort, to translate the taxonomic knowledge acquired through a microscope to the, often grayscale, still images that these instruments create.
At JAMSTEC, Japan (pictured here) and in Villefranche, France, this leads to regular taxonomy meetings during which the taxonomists gather around a screen, looking at some images, and trying to define clear criteria for taxonomic assignments to given groups.
Zooscanning of deep plankton samples
Samples have been brought back from a cruise in the South-East Pacific Gyre and Shino Yamamoto is processing them on the Zooscan system. These samples will be used for assessing the effects of ocean desertification on the planktonic community from 0 m to 1500 m depth along a transect from Chile to Easter Island.
Machine Learning Training Sets from ROV Videos
Work has been progressing on creating tools for annotating videos recorded by a Remotely Operated Vehicle (ROV), through the SQUIDLE+ tool, to provide still images of plankton for training machine learning algorithms on reflected light, colour images. It is now possible to draw polygons around organisms and to link objects present in the video feeds of multiple cameras.