AIMC Topic: Microscopy, Electron, Scanning
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Combining spectrum and machine learning algorithms to predict the weathering time of empty puparia of Sarcophaga peregrine (Diptera: Sarcophagidae).
Forensic science international
Jul 14, 2024
The weathering time of empty puparia could be important in predicting the minimum postmortem interval (PMImin). As corpse decomposition progresses to the skeletal stage, empty puparia often remain the sole evidence of fly activity at the scene. In th...
Application of artificial intelligence in modeling of nitrate removal process using zero-valent iron nanoparticles-loaded carboxymethyl cellulose.
Environmental geochemistry and health
Jun 26, 2024
This study explores nitrate reduction in aqueous solutions using carboxymethyl cellulose loaded with zero-valent iron nanoparticles (Fe-CMC). The structures of this nano-composite were characterized using various techniques. Based on the characteriza...
Cervical wear pathobiology by robot-simulated 3-year toothbrushing - New methodological approach.
Archives of oral biology
Apr 24, 2024
OBJECTIVES: An ex-vivo study was aimed at (i) programming clinically validated robot three-year random toothbrushing, (ii) evaluating cervical macro- and microwear patterns on all tooth groups of different functional age, (iii) documenting and codifi...
Feature extraction of particle morphologies of pharmaceutical excipients from scanning electron microscope images using convolutional neural networks.
International journal of pharmaceutics
Feb 7, 2024
Scanning electron microscopy (SEM) images are the most widely used tool for evaluating particle morphology; however, quantitative evaluation using SEM images is time-consuming and often neglected. In this study, we aimed to extract features related t...
Deep learning for virtual orthodontic bracket removal: tool establishment and application.
Clinical oral investigations
Jan 27, 2024
OBJECTIVE: We aimed to develop a tool for virtual orthodontic bracket removal based on deep learning algorithms for feature extraction from bonded teeth and to demonstrate its application in a bracket position assessment scenario.
Exploring the infiltrative and degradative ability of Fusarium oxysporum on polyethylene terephthalate (PET) using correlative microscopy and deep learning.
Scientific reports
Dec 27, 2023
Managing the worldwide steady increase in the production of plastic while mitigating the Earth's global pollution is one of the greatest challenges nowadays. Fungi are often involved in biodegradation processes thanks to their ability to penetrate in...
Deep learning-based classification of microalgae using light and scanning electron microscopy images.
Micron (Oxford, England : 1993)
Jun 28, 2023
Microalgae possess diverse applications, such as food production, animal feed, cosmetics, plastics manufacturing, and renewable energy sources. However, uncontrolled proliferation, known as algal bloom, can detrimentally impact ecosystems. Therefore,...
Evaluation of reproducible cryogel preparation based on automated image analysis using deep learning.
Journal of biomedical materials research. Part A
Jun 22, 2023
Cryogels represent a class of porous sponge-like materials possessing unique properties including high-fidelity reproduction of tissue structure and maximized permeability. Their architecture is mainly based on an interconnected network of macropores...
An end-to-end convolutional neural network for automated failure localisation and characterisation of 3D interconnects.
Scientific reports
Jun 9, 2023
The advancement in the field of 3D integration circuit technology leads to new challenges for quality assessment of interconnects such as through silicon vias (TSVs) in terms of automated and time-efficient analysis. In this paper, we develop a fully...
Automated large volume sample preparation for vEM.
Methods in cell biology
May 14, 2023
New developments in electron microscopy technology, improved efficiency of detectors, and artificial intelligence applications for data analysis over the past decade have increased the use of volume electron microscopy (vEM) in the life sciences fiel...
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