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Imaging flow cytometry
Imaging flow cytometry combines the high-event-rate nature of flow cytometry with the
advantages of single-cell image acquisition associated with microscopy. The measurement …
advantages of single-cell image acquisition associated with microscopy. The measurement …
Artificial intelligence-assisted diagnostic cytology and genomic testing for hematologic disorders
Artificial intelligence (AI) is a rapidly evolving field of computer science that involves the
development of computational programs that can mimic human intelligence. In particular …
development of computational programs that can mimic human intelligence. In particular …
Raman image-activated cell sorting
The advent of image-activated cell sorting and imaging-based cell picking has advanced our
knowledge and exploitation of biological systems in the last decade. Unfortunately, they …
knowledge and exploitation of biological systems in the last decade. Unfortunately, they …
Accurate classification of white blood cells by coupling pre-trained ResNet and DenseNet with SCAM mechanism
Background Via counting the different kinds of white blood cells (WBCs), a good quantitative
description of a person's health status is obtained, thus forming the critical aspects for the …
description of a person's health status is obtained, thus forming the critical aspects for the …
AI on a chip
Artificial intelligence (AI) has dramatically changed the landscape of science, industry,
defence, and medicine in the last several years. Supported by considerably enhanced …
defence, and medicine in the last several years. Supported by considerably enhanced …
[HTML][HTML] Artificial intelligence for high content imaging in drug discovery
Artificial intelligence (AI) and high-content imaging (HCI) are contributing to advancements
in drug discovery, propelled by the recent progress in deep neural networks. This review …
in drug discovery, propelled by the recent progress in deep neural networks. This review …
Msdeepamr: antimicrobial resistance prediction based on deep neural networks and transfer learning
Introduction Antimicrobial resistance (AMR) is a global health problem that requires early
and effective treatments to prevent the indiscriminate use of antimicrobial drugs and the …
and effective treatments to prevent the indiscriminate use of antimicrobial drugs and the …
Deep learning in biomedical optics
This article reviews deep learning applications in biomedical optics with a particular
emphasis on image formation. The review is organized by imaging domains within …
emphasis on image formation. The review is organized by imaging domains within …
Tomographic imaging flow cytometry
Within the last decades, conventional flow cytometry (FC) has evolved as a powerful
measurement method in clinical diagnostics, biology, life sciences and healthcare. Imaging …
measurement method in clinical diagnostics, biology, life sciences and healthcare. Imaging …
Toward deep biophysical cytometry: prospects and challenges
The biophysical properties of cells reflect their identities, underpin their homeostatic state in
health, and define the pathogenesis of disease. Recent leapfrogging advances in …
health, and define the pathogenesis of disease. Recent leapfrogging advances in …