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 …
Quantitative phase imaging based on holography: trends and new perspectives
Abstract In 1948, Dennis Gabor proposed the concept of holography, providing a pioneering
solution to a quantitative description of the optical wavefront. After 75 years of development …
solution to a quantitative description of the optical wavefront. After 75 years of development …
Quantitative phase imaging: recent advances and expanding potential in biomedicine
TL Nguyen, S Pradeep, RL Judson-Torres, J Reed… - ACS …, 2022 - ACS Publications
Quantitative phase imaging (QPI) is a label-free, wide-field microscopy approach with
significant opportunities for biomedical applications. QPI uses the natural phase shift of light …
significant opportunities for biomedical applications. QPI uses the natural phase shift of light …
On the use of deep learning for phase recovery
Phase recovery (PR) refers to calculating the phase of the light field from its intensity
measurements. As exemplified from quantitative phase imaging and coherent diffraction …
measurements. As exemplified from quantitative phase imaging and coherent diffraction …
Label-free multiplexed microtomography of endogenous subcellular dynamics using generalizable deep learning
Simultaneous imaging of various facets of intact biological systems across multiple
spatiotemporal scales is a long-standing goal in biology and medicine, for which progress is …
spatiotemporal scales is a long-standing goal in biology and medicine, for which progress is …
[HTML][HTML] Permittivity tensor imaging: modular label-free imaging of 3D dry mass and 3D orientation at high resolution
The dry mass and the orientation of biomolecules can be imaged without a label by
measuring their permittivity tensor (PT), which describes how biomolecules affect the phase …
measuring their permittivity tensor (PT), which describes how biomolecules affect the phase …
[HTML][HTML] Post mortem map** of connectional anatomy for the validation of diffusion MRI
Diffusion MRI (dMRI) is a unique tool for the study of brain circuitry, as it allows us to image
both the macroscopic trajectories and the microstructural properties of axon bundles in vivo …
both the macroscopic trajectories and the microstructural properties of axon bundles in vivo …
Single-cell cytometry via multiplexed fluorescence prediction by label-free reflectance microscopy
Traditional imaging cytometry uses fluorescence markers to identify specific structures but is
limited in throughput by the labeling process. We develop a label-free technique that …
limited in throughput by the labeling process. We develop a label-free technique that …
Spatial light interference microscopy: principle and applications to biomedicine
In this paper, we review spatial light interference microscopy (SLIM), a common-path, phase-
shifting interferometer, built onto a phase-contrast microscope, with white-light illumination …
shifting interferometer, built onto a phase-contrast microscope, with white-light illumination …
MesoNet allows automated scaling and segmentation of mouse mesoscale cortical maps using machine learning
Understanding the basis of brain function requires knowledge of cortical operations over
wide spatial scales and the quantitative analysis of brain activity in well-defined brain …
wide spatial scales and the quantitative analysis of brain activity in well-defined brain …