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 …

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 …

High-throughput microbial culturomics using automation and machine learning

Y Huang, RU Sheth, S Zhao, LA Cohen… - Nature …, 2023 - nature.com
Pure bacterial cultures remain essential for detailed experimental and mechanistic studies in
microbiome research, and traditional methods to isolate individual bacteria from complex …

How can AI help improve food safety?

C Qian, SI Murphy, RH Orsi… - Annual Review of Food …, 2023 - annualreviews.org
With advances in artificial intelligence (AI) technologies, the development and
implementation of digital food systems are becoming increasingly possible. There is …

A review of earth artificial intelligence

Z Sun, L Sandoval, R Crystal-Ornelas… - Computers & …, 2022 - Elsevier
In recent years, Earth system sciences are urgently calling for innovation on improving
accuracy, enhancing model intelligence level, scaling up operation, and reducing costs in …

Roadmap on digital holography

B Javidi, A Carnicer, A Anand, G Barbastathis… - Optics …, 2021 - opg.optica.org
This Roadmap article on digital holography provides an overview of a vast array of research
activities in the field of digital holography. The paper consists of a series of 25 sections from …

Waterborne pathogens detection technologies: Advances, challenges, and future perspectives

YL Oon, YS Oon, M Ayaz, M Deng, L Li… - Frontiers in …, 2023 - frontiersin.org
The World Health Organization (WHO) estimated that pathogens like Escherichia coli,
primarily linked to food and water contamination, are associated with 485,000 deaths from …

Imaging of single bacteria with electrochemiluminescence microscopy

Y Zhou, J Dong, P Zhao, J Zhang… - Journal of the …, 2023 - ACS Publications
Rapid and accurate identification of pathogens is crucial for public healthcare and patient
treatment. However, the commonly used analytic tools such as molecular diagnostics and …

Electrochemical sensors to detect bacterial foodborne pathogens

LM Castle, DA Schuh, EE Reynolds, AL Furst - ACS sensors, 2021 - ACS Publications
Bacterial foodborne pathogens cause millions of illnesses each year and disproportionately
impact those in develo** countries. To combat these diseases and their spread, effective …

Deep learning for digital holography: a review

T Zeng, Y Zhu, EY Lam - Optics express, 2021 - opg.optica.org
Recent years have witnessed the unprecedented progress of deep learning applications in
digital holography (DH). Nevertheless, there remain huge potentials in how deep learning …