Automatic detection and counting of phase objects in raw holograms of digital holographic microscopy via deep learning
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DOI: 10.1016/j.optlaseng.2019.02.010
Abstract: Abstract A method to automatically detect and count phase objects in off-axis digital holographic microcopy (DHM) is presented. While traditional procedures to detect and count microscopic objects in DHM require a reconstruction stage, our proposal… read more here.
Keywords: microscopy; objects raw; digital holographic; phase objects ... See more keywords