We demonstrate a new technique that combines holographic microscopy and deep learning to track microplankton through multiple generations, and measure their 3D positions and dry mass. The method is minimally invasive and non-destructive to the plankton cells, allowing us to study their trophic interactions, feeding events, and bio mass increase throughout the cell cycle. We evaluate the method on various plankton species belonging to different trophic levels, and observe the dry mass transfer during feeding interactions and diatom growth dynamics. Our approach provides a valuable tool for understanding microplankton behaviour and interactions in the oceanic food web.
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