Digital holographic microscopy (DHM) as a label-free quantitative imaging tool has been
widely used to investigate the morphology of living cells dynamically. In the off-axis DHM …

Slightly off-axis digital holographic microscopy (DHM) is the extension of digital holography
imaging technology toward high-throughput modern optical imaging technology. However, it …

We propose a fully automatic technique to obtain aberration free quantitative phase imaging
in digital holographic microscopy (DHM) based on deep learning. The traditional DHM …

Automated label-free quantitative imaging of biological samples can greatly benefit high
throughput diseases diagnosis. Digital holographic microscopy (DHM) is a powerful …

Digital holographic microscopy enables the measurement of the quantitative light field
information and the visualization of transparent specimens. It can be implemented for …

The phase reconstruction process in digital holographic microscopy involves a trade‐off
between the phase error and the high‐spatial‐frequency components. In this reconstruction …

Digital holographic microscopy (DHM) is a three-dimensional (3D) imaging technique that
uses the phase information of coherent light. In the reconstruction process of DHM, a narrow …

In the image processing method of digital holographic microscopy (DHM), we can obtain a
phase information of an object by windowing a sideband in Fourier domain and taking …

Deep artificial neural network learning is an emerging tool in image analysis. We
demonstrate its potential in the field of digital holographic microscopy by addressing the …

Digital holographic microscopy (DHM), a quantitative phase-imaging technology, has been
widely used in various applications. Phase-aberration compensation in off-axis DHM is vital …