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Fig. 1 | BMC Ecology and Evolution

Fig. 1

From: Plankton classification with high-throughput submersible holographic microscopy and transfer learning

Fig. 1

The workflow for imaging, detecting, and selecting in-focus objects. Volumes are recorded in the microscopes sample space and the interference pattern is reconstructed to create a hologram. Plankton objects are first detected as ROIs across 300 reconstructed planes (i.e., z-distances) of a hologram corresponding to the 15 mm sample space. The plane containing an in-focus object is calculated via autocorrelation and Vollath’s F4 algorithm

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