[HTML][HTML] High-content CRISPR screening

C Bock, P Datlinger, F Chardon, MA Coelho… - Nature Reviews …, 2022 - nature.com
CRISPR screens are a powerful source of biological discovery, enabling the unbiased
interrogation of gene function in a wide range of applications and species. In pooled …

[HTML][HTML] AI-enabled organoids: construction, analysis, and application

L Bai, Y Wu, G Li, W Zhang, H Zhang, J Su - Bioactive Materials, 2024 - Elsevier
Organoids, miniature and simplified in vitro model systems that mimic the structure and
function of organs, have attracted considerable interest due to their promising applications in …

Guidelines for the use of flow cytometry and cell sorting in immunological studies

A Cossarizza, HD Chang, A Radbruch… - European journal of …, 2019 - Wiley Online Library
These guidelines are a consensus work of a considerable number of members of the
immunology and flow cytometry community. They provide the theory and key practical …

[HTML][HTML] Medical deep learning—A systematic meta-review

J Egger, C Gsaxner, A Pepe, KL Pomykala… - Computer methods and …, 2022 - Elsevier
Deep learning has remarkably impacted several different scientific disciplines over the last
few years. For example, in image processing and analysis, deep learning algorithms were …

Image inpainting based on deep learning: A review

X Zhang, D Zhai, T Li, Y Zhou, Y Lin - Information Fusion, 2023 - Elsevier
Image inpainting is an important research direction in the study of computer vision, and is
widely used in image editing and photo inpainting etc. Traditional image inpainting …

[HTML][HTML] Environmental optimization of warm mix asphalt (WMA) design with recycled concrete aggregates (RCA) inclusion through artificial intelligence (AI) …

R Polo-Mendoza, G Martinez-Arguelles… - Results in …, 2023 - Elsevier
Abstract Warm Mix Asphalts (WMAs) are asphalt concretes produced at lower temperatures
than traditional Hot Mix Asphalts (HMAs). Nonetheless, the above is not enough to diminish …

Deep learning in electron microscopy

JM Ede - Machine Learning: Science and Technology, 2021 - iopscience.iop.org
Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …

Hybrid AI-assistive diagnostic model permits rapid TBS classification of cervical liquid-based thin-layer cell smears

X Zhu, X Li, K Ong, W Zhang, W Li, L Li… - Nature …, 2021 - nature.com
Technical advancements significantly improve earlier diagnosis of cervical cancer, but
accurate diagnosis is still difficult due to various factors. We develop an artificial intelligence …

Immune monitoring using mass cytometry and related high-dimensional imaging approaches

FJ Hartmann, SC Bendall - Nature Reviews Rheumatology, 2020 - nature.com
The cellular complexity and functional diversity of the human immune system necessitate the
use of high-dimensional single-cell tools to uncover its role in multifaceted diseases such as …

Cell cytometry: Review and perspective on biotechnological advances

A Vembadi, A Menachery… - Frontiers in bioengineering …, 2019 - frontiersin.org
Cell identification and enumeration are essential procedures within clinical and research
laboratories. For over 150 years, quantitative investigation of body fluids such as counts of …