Artificial intelligence-enabled quantitative phase imaging methods for life sciences
Quantitative phase imaging, integrated with artificial intelligence, allows for the rapid and
label-free investigation of the physiology and pathology of biological systems. This review …
label-free investigation of the physiology and pathology of biological systems. This review …
[HTML][HTML] Resolution enhancement of digital holographic microscopy via synthetic aperture: a review
Digital holographic microscopy (DHM), which combines digital holography with optical
microscopy, is a wide field, minimally invasive quantitative phase microscopy (QPM) …
microscopy, is a wide field, minimally invasive quantitative phase microscopy (QPM) …
All-optical machine learning using diffractive deep neural networks
Deep learning has been transforming our ability to execute advanced inference tasks using
computers. Here we introduce a physical mechanism to perform machine learning by …
computers. Here we introduce a physical mechanism to perform machine learning by …
Fourier Imager Network (FIN): A deep neural network for hologram reconstruction with superior external generalization
Deep learning-based image reconstruction methods have achieved remarkable success in
phase recovery and holographic imaging. However, the generalization of their image …
phase recovery and holographic imaging. However, the generalization of their image …
PhaseStain: the digital staining of label-free quantitative phase microscopy images using deep learning
Using a deep neural network, we demonstrate a digital staining technique, which we term
PhaseStain, to transform the quantitative phase images (QPI) of label-free tissue sections …
PhaseStain, to transform the quantitative phase images (QPI) of label-free tissue sections …
[HTML][HTML] Beyond solid-state lighting: Miniaturization, hybrid integration, and applications of GaN nano-and micro-LEDs
Gallium nitride (GaN) light-emitting-diode (LED) technology has been the revolution in
modern lighting. In the last decade, a huge global market of efficient, long-lasting, and …
modern lighting. In the last decade, a huge global market of efficient, long-lasting, and …
In vivo lensless microscopy via a phase mask generating diffraction patterns with high-contrast contours
The simple and compact optics of lensless microscopes and the associated computational
algorithms allow for large fields of view and the refocusing of the captured images. However …
algorithms allow for large fields of view and the refocusing of the captured images. However …
Trends in digital image processing of isolated microalgae by incorporating classification algorithm
Identification of microalgae species is of importance due to the uprising of harmful algae
blooms affecting both the aquatic habitat and human health. Despite this occurence …
blooms affecting both the aquatic habitat and human health. Despite this occurence …
Extended depth-of-field in holographic imaging using deep-learning-based autofocusing and phase recovery
Holography encodes the three-dimensional (3D) information of a sample in the form of an
intensity-only recording. However, to decode the original sample image from its hologram …
intensity-only recording. However, to decode the original sample image from its hologram …
Quantitative phase imaging in biomedicine
Quantitative phase imaging (QPI) has emerged as a valuable method for investigating cells
and tissues. QPI operates on unlabelled specimens and, as such, is complementary to …
and tissues. QPI operates on unlabelled specimens and, as such, is complementary to …