Quality assessment of refocus criteria for particle imaging in digital off-axis holography

Speeding up reconstruction of 3D tomograms in holographic flow cytometry via deep learning

“…To date, a large variety of metrics has been proposed to perform the in-focus reconstruction automatically. 16,34 Of course the channel height might influence the computational burden of this step, since it sets the volume to be digitally scanned to look for the sample best focus plane. The phase aberration compensation step can be achieved with fitting-based processing 35 or by acquiring a reference hologram (i.e.…”

Aerodynamic fragmentation of water, ethanol and polyethylene glycol droplets investigated by high-speed in-line digital holography

“…reconstruction plane. Several metrics for the refocus plane detection relying on the phase distribution [18][19][20], amplitude [21,22] of the reconstructed images or mix of these [23] are reported and discussed in the literature [24,25]. These metrics involve criteria such as the image derivative [26], it histogram [27], it autocorrelation function [28].…”

Investigation of the Space-Variance Effect in Digital Holography

“…This is easy to achieve for lens imaging. However, due to the limitation of resolution and magnification in digital holography, the transverse size of the object under test or the virtual image of the front imaging system is usually comparable to the size of the CCD/CMOS chip, so the space-variance effect is very common in digital holography, especially digital Fresnel holography [18][19][20][21].…”