AIMC Topic: Electrophoresis

Clear Filters Showing 1 to 10 of 15 articles

Experimentally profiling dielectric properties of Escherichia coli and Staphylococcus aureus by movement velocity and force.

Scientific reports Jul 1, 2025
The gradual research in integrating artificial intelligence in the Dielectrophoresis system is rapid since the evolution of AI in every aspect of technology since the early 2020s. The benefits of AI integration into DEP systems include improving posi...
Algorithms Electrophoresis Movement Escherichia coli Staphylococcus aureus
View on PubMed DOI

Development and validation of a deep learning-based protein electrophoresis classification algorithm.

PloS one Aug 24, 2022
BACKGROUND: Protein electrophoresis (PEP) is an important tool in supporting the analytical characterization of protein status in diseases related to monoclonal components, inflammation, and antibody deficiency. Here, we developed a deep learning-bas...
Deep Learning Algorithms Neural Networks, Computer Electrophoresis Reproducibility of Results ROC Curve
View on PubMed DOI

A new fuzzy rule based multi-objective optimization method for cross-scale injection molding of protein electrophoresis microfluidic chips.

Scientific reports Aug 1, 2022
Injection molding is one of the most promising technologies for the large-scale production and application of polymeric microfluidic chips. The multi-objective optimization of injection molding process for substrate and cover plate on protein electro...
Electrophoresis Fuzzy Logic Microfluidics Research Design
View on PubMed DOI

Deep Collocative Learning for Immunofixation Electrophoresis Image Analysis.

IEEE transactions on medical imaging Jun 30, 2021
Immunofixation Electrophoresis (IFE) analysis is of great importance to the diagnosis of Multiple Myeloma, which is among the top-9 cancer killers in the United States, but has rarely been studied in the context of deep learning. Two possible reasons...
Deep Learning Image Processing, Computer-Assisted Humans Neoplasms Electrophoresis
View on PubMed DOI

Combination of large volume sample stacking with polarity switching and cyclodextrin electrokinetic chromatography (LVSS-PS-CDEKC) for the determination of selected preservatives in pharmaceuticals.

Talanta Dec 25, 2019
In this study, a large volume sample stacking (LVSS) with polarity switching (PS) and cyclodextrin electrokinetic chromatography (CDEKC) method has been developed for the simultaneous separation and determination of 8 preservatives: methylparaben (MP...
Sorbic Acid alpha-Cyclodextrins Chromatography, Micellar Electrokinetic Capillary Phenylbutyrates Benzoic Acid Electrophoresis Hydroxybenzoates Preservatives, Pharmaceutical Borates Ambroxol Ketotifen Parabens
View on PubMed DOI

The generalisability of artificial neural networks used to classify electrophoretic data produced under different conditions.

Forensic science international. Genetics Nov 2, 2018
Previous work has shown that artificial neural networks can be used to classify signal in an electropherogram into categories that have interpretational meaning (such as allele, baseline, pull-up or stutter). The previous work trained the neural netw...
Datasets as Topic Forensic Genetics Neural Networks, Computer Electrophoresis Humans
View on PubMed DOI

An artificial neural network system to identify alleles in reference electropherograms.

Forensic science international. Genetics Jul 8, 2017
Electropherograms are produced in great numbers in forensic DNA laboratories as part of everyday criminal casework. Before the results of these electropherograms can be used they must be scrutinised by analysts to determine what the identified data t...
Electrophoresis Forensic Genetics DNA Fingerprinting Algorithms Alleles Humans Neural Networks, Computer
View on PubMed DOI

Changing techniques in crop plant classification: molecularization at the National Institute of Agricultural Botany during the 1980s.

Annals of science Feb 16, 2017
Modern methods of analysing biological materials, including protein and DNA sequencing, are increasingly the objects of historical study. Yet twentieth-century taxonomic techniques have been overlooked in one of their most important contexts: agricul...
United Kingdom Crops, Agricultural Classification History, 20th Century Machine Learning Spectroscopy, Near-Infrared Electrophoresis
View on PubMed DOI

Teaching artificial intelligence to read electropherograms.

Forensic science international. Genetics Jul 28, 2016
Electropherograms are produced in great numbers in forensic DNA laboratories as part of everyday criminal casework. Before the results of these electropherograms can be used they must be scrutinised by analysts to determine what the identified data t...
Electrophoresis Artifacts Microsatellite Repeats Forensic Genetics Artificial Intelligence Laboratories DNA Fingerprinting Humans Neural Networks, Computer
View on PubMed DOI

Texture analysis in gel electrophoresis images using an integrative kernel-based approach.

Scientific reports Jan 13, 2016
Texture information could be used in proteomics to improve the quality of the image analysis of proteins separated on a gel. In order to evaluate the best technique to identify relevant textures, we use several different kernel-based machine learning...
Machine Learning Reproducibility of Results Image Processing, Computer-Assisted Electrophoresis
View on PubMed DOI
Popular Topics
Recent Journals