We present a technique to track microplanktons through generations, and continuously measure their three-dimensional position and dry mass. By combining holographic microscopy with deep learning, the technique is minimally invasive and non-destructive for plankton cells, allowing quantitative assessments of trophic interactions such as feeding events, biomass increase throughout the cell cycle. We evaluate the performance of the method, by applying it to various plankton species belonging to different trophic levels. Finally, we demonstrate the dry mass transfer from cell to cell in prey-predator interactions, and show the growth dynamics from division to division in diatoms.
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