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Articles by Timea Tóth
Responses of Parasitic Nematodes to Volatile Organic Compounds Emitted by Brassica nigra Roots
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HCS-3DX, a next-generation AI-driven automated 3D-oid high-content screening system
Abstract Self-organized three-dimensional (3D) cell cultures, collectively called 3D-oids, include spheroids, organoids and other co-culture models. Systematic evaluation of these models forms a critical new generation of high-content screening (HCS) systems for patient-specific drug analysis and cancer research. However, the standardisation of working with 3D-oids remains challenging and lacks convincing implementation.
Effects of Sewage Sludge Compost on Carbon, Nitrogen, Phosphorus, and Sulfur Ratios and Soil Enzyme Activities in a Long-Term Experiment
1. Introduction All the elements that make up living organisms are participants in the biogeochemical cycle [1]. The appropriate ratio of the elements affects the availability of soil nutrients, plant growth, and microbial processes [2]. Ecological stoichiometry is an important indicator of the changes taking place in the soil, which affect not only the soil but also human health, crop production, and biodiversity. It reflects the mineralization or immobilization processes in the soil.
HCS-3DX, a next-generation AI-driven automated 3D high-content screening system
Abstract Multicellular 3D biological models, the so-called -oids, are the pivot key for the new generation of high-content screening (HCS) of drug analysis, cancer research, and regenerative medicine. However, the standardisation of 3D cell culture generation, handling, imaging, and data analysis remains a challenge and lacks convincing applications. In this work, we propose HCS-3DX, a next-generation system revolutionising HCS research in 3D imaging and evaluation.
Epoxy Coatings Doped with (3-Aminopropyl)triethoxysilane-Modified Silica Nanoparticles for Anti-Corrosion Protection of Zinc
3.2. Coatings Characterization 3.2.1. Thickness Measurements The thickness measurements of the epoxy-based layer coatings (Figure 4) showed that there was no significant difference between the EP coating and the EP layers containing SiO2 NPs or APTES-functionalized NPs using method (I). All of them measured ~25 µm.
Epoxy Coatings Doped with (3-Aminopropyl)triethoxysilane-Modified Silica Nanoparticles for Anti-Corrosion Protection of Zinc
3.2. Coatings Characterization 3.2.1. Thickness Measurements The thickness measurements of the epoxy-based layer coatings (Figure 4) showed that there was no significant difference between the EP coating and the EP layers containing SiO2 NPs or APTES-functionalized NPs using method (I). All of them measured ~25 µm.
Show me your neighbour and I tell what you are: fisheye transformation for deep learning-based single-cell phenotyping
New Results doi: https://doi.org/10.1101/2022.08.23.505056 Abstract Recently we have concluded that image-based features derived from the microenvironment have an enormous impact on successfully determining the class of an object. Here we demonstrate that deep learning-based phenotypic analysis of cells with a properly chosen microenvironment-size provides results comparable to our earlier neighbourhood-based methods that utilise hand-crafted image features.
nucleAIzer: A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer
Highlights • Robust method automatically adapting to various unseen experimental scenarios • Deep learning solution for accurate nucleus segmentation without user interaction • Accelerates, improves quality, and reduces complexity of bioimage analysis tasks • Easy-to-use online tool provided for the method Summary Single-cell segmentation is typically a crucial task of image-based cellular analysis.
A deep learning framework for nucleus segmentation using image style transfer
New Results Reka Hollandi, Abel Szkalisity, Timea Toth, Ervin Tasnadi, Csaba Molnar, Botond Mathe, Istvan Grexa, Jozsef Molnar, Arpad Balind, Mate Gorbe, Maria Kovacs, Ede Migh, Allen Goodman, Tamas Balassa, Krisztian Koos, Wenyu Wang, Norbert Bara, Ferenc Kovacs, Lassi Paavolainen, Tivadar Danka, Andras Kriston, Anne E.
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