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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 …
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 …
High-throughput microbial culturomics using automation and machine learning
Pure bacterial cultures remain essential for detailed experimental and mechanistic studies in
microbiome research, and traditional methods to isolate individual bacteria from complex …
microbiome research, and traditional methods to isolate individual bacteria from complex …
How can AI help improve food safety?
With advances in artificial intelligence (AI) technologies, the development and
implementation of digital food systems are becoming increasingly possible. There is …
implementation of digital food systems are becoming increasingly possible. There is …
A review of earth artificial intelligence
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 …
accuracy, enhancing model intelligence level, scaling up operation, and reducing costs in …
Roadmap on digital holography
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 …
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
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 …
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 …
treatment. However, the commonly used analytic tools such as molecular diagnostics and …
Electrochemical sensors to detect bacterial foodborne pathogens
Bacterial foodborne pathogens cause millions of illnesses each year and disproportionately
impact those in develo** countries. To combat these diseases and their spread, effective …
impact those in develo** countries. To combat these diseases and their spread, effective …
Deep learning for digital holography: a review
Recent years have witnessed the unprecedented progress of deep learning applications in
digital holography (DH). Nevertheless, there remain huge potentials in how deep learning …
digital holography (DH). Nevertheless, there remain huge potentials in how deep learning …