Fast Autofocusing using Tiny Networks for Digital Holographic Microscopy
Authors/Creators
- 1. FEMTO-ST Institute, CNRS
Description
This dataset contains a set of experimental holograms of a pseudo-periodic pattern ranging on 92 \({\mu}m\) with a step of ~1 \({\mu}m\) between each class of holograms. A total of 40,400 holograms are divided in 100 classes each containing a total of 400 experimental holograms.
The experiments were carried out on a antivibration table with a DHM (by Lyncee Tec, Switzerland) equipped with a camera with a 5.86 \({\mu}m\) pixel size (Basler acA1920-155um), a hexapode (Newport HXP50-meca) capable of precise motions along the six degrees of freedom and a micro-encoded pattern made in our clean room facility (2 x 2 \(cm^2\), period 9 \({\mu}m\), 12 bits encoding) covered with a uniform 100 nm thick aluminium layer to obtain a phase object. This pseudo periodic pattern was observed with a MO (Leica, mag 10x, NA=0.32) at wavelength \(\lambda \) = 674.99 nm.
A second file (mapping file) gives the mapping in \({\mu}m\) for each class of 400 holograms: holos_04_06_2021_hxp_dhm_100classes400Measures_positionZ.csv.
Files
holos_04_06_2021_hxp_dhm_100classes400Measures_positionZ.txt
Files
(48.7 GB)
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