2021
DOI: 10.1007/s10846-021-01404-3
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Design and Experiments with a Robot-Driven Underwater Holographic Microscope for Low-Cost In Situ Particle Measurements

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Cited by 12 publications
(1 citation statement)
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“…Holographic microscopes can be realized as field portable devices for high-throughput screening of natural waters, in the form of standalone sensors and, in the future, as sensor networks that exchange relevant local information about the microparticles fluxes. Submersible holographic cameras are currently embedded onboard autonomous systems and underwater vehicles and are adopted to image the microparticle content of water columns at various depths. , Our work could add in the near future an intelligent subsystem to the existing sensors, able to equip them with better capabilities in interpreting holographic images. In order to move to field sampling, other abundantly occurring plankton species, for example, dinoflagellates or microzooplankton should be accurately characterized, though, by measuring their fractal holographic fingerprint in order to train classifiers to recognize them.…”
Section: Conclusion and Future Perspectivesmentioning
confidence: 99%
“…Holographic microscopes can be realized as field portable devices for high-throughput screening of natural waters, in the form of standalone sensors and, in the future, as sensor networks that exchange relevant local information about the microparticles fluxes. Submersible holographic cameras are currently embedded onboard autonomous systems and underwater vehicles and are adopted to image the microparticle content of water columns at various depths. , Our work could add in the near future an intelligent subsystem to the existing sensors, able to equip them with better capabilities in interpreting holographic images. In order to move to field sampling, other abundantly occurring plankton species, for example, dinoflagellates or microzooplankton should be accurately characterized, though, by measuring their fractal holographic fingerprint in order to train classifiers to recognize them.…”
Section: Conclusion and Future Perspectivesmentioning
confidence: 99%