Artificial intelligence-enabled quantitative phase imaging methods for life sciences

J Park, B Bai, DH Ryu, T Liu, C Lee, Y Luo, MJ Lee… - Nature …, 2023 - nature.com
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 …

Deep learning-enabled virtual histological staining of biological samples

B Bai, X Yang, Y Li, Y Zhang, N Pillar… - Light: Science & …, 2023 - nature.com
Histological staining is the gold standard for tissue examination in clinical pathology and life-
science research, which visualizes the tissue and cellular structures using chromatic dyes or …

Quantitative phase imaging based on holography: trends and new perspectives

Z Huang, L Cao - Light: Science & Applications, 2024 - nature.com
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 …

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 …

Stain-free identification of cell nuclei using tomographic phase microscopy in flow cytometry

D Pirone, J Lim, F Merola, L Miccio, M Mugnano… - Nature …, 2022 - nature.com
Quantitative phase imaging has gained popularity in bioimaging because it can avoid the
need for cell staining, which, in some cases, is difficult or impossible. However, as a result …

On the use of deep learning for phase recovery

K Wang, L Song, C Wang, Z Ren, G Zhao… - Light: Science & …, 2024 - nature.com
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 …

[HTML][HTML] Live-cell imaging in the deep learning era

JW Pylvänäinen, E Gómez-de-Mariscal… - Current Opinion in Cell …, 2023 - Elsevier
Live imaging is a powerful tool, enabling scientists to observe living organisms in real time.
In particular, when combined with fluorescence microscopy, live imaging allows the …

Roadmap on computational methods in optical imaging and holography

J Rosen, S Alford, B Allan, V Anand, S Arnon… - Applied Physics B, 2024 - Springer
Computational methods have been established as cornerstones in optical imaging and
holography in recent years. Every year, the dependence of optical imaging and holography …

Rapid species identification of pathogenic bacteria from a minute quantity exploiting three-dimensional quantitative phase imaging and artificial neural network

G Kim, D Ahn, M Kang, J Park, DH Ryu, YJ Jo… - Light: Science & …, 2022 - nature.com
The healthcare industry is in dire need of rapid microbial identification techniques for
treating microbial infections. Microbial infections are a major healthcare issue worldwide, as …

Holotomography

G Kim, H Hugonnet, K Kim, JH Lee, SS Lee… - Nature Reviews …, 2024 - nature.com
Holotomography (HT) represents a 3D, label-free optical imaging methodology that
leverages refractive index as an inherent quantitative contrast for imaging. This technique …