AIMC Topic: Dynamic Light Scattering

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On the Possibility of Designing an Advanced Sensor with Particle Sizing Using Dynamic Light Scattering Time Series Spectral Entropy and Artificial Neural Network.

Sensors (Basel, Switzerland) May 19, 2022
Dynamic Light Scattering is a well-established technique used in particle sizing. An alternative procedure for Dynamic Light Scattering time series processing based on spectral entropy computation and Artificial Neural Networks is described. An error...
Neural Networks, Computer Time Factors Particle Size Entropy Dynamic Light Scattering
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An Artificial Neural Network Assisted Dynamic Light Scattering Procedure for Assessing Living Cells Size in Suspension.

Sensors (Basel, Switzerland) Jun 17, 2020
Dynamic light scattering (DLS) is an essential technique used for assessing the size of the particles in suspension, covering the range from nanometers to microns. Although it has been very well established for quite some time, improvement can still ...
Neural Networks, Computer Particle Size Light Saccharomyces cerevisiae Scattering, Radiation Suspensions Cell Size Dynamic Light Scattering
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Application of automated electron microscopy imaging and machine learning to characterise and quantify nanoparticle dispersion in aqueous media.

Journal of microscopy Dec 18, 2019
For many nanoparticle applications it is important to understand dispersion in liquids. For nanomedicinal and nanotoxicological research this is complicated by the often complex nature of the biological dispersant and ultimately this leads to severe ...
Machine Learning Software Water Image Processing, Computer-Assisted Nanoparticles Culture Media Workflow Ferric Compounds Automation Microscopy, Electron Biophysical Phenomena Dynamic Light Scattering
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Size Control in the Nanoprecipitation Process of Stable Iodine (¹²⁷I) Using Microchannel Reactor-Optimization by Artificial Neural Networks.

AAPS PharmSciTech Feb 6, 2015
In this study, nanosuspension of stable iodine ((127)I) was prepared by nanoprecipitation process in microfluidic devices. Then, size of particles was optimized using artificial neural networks (ANNs) modeling. The size of prepared particles was eval...
Neural Networks, Computer Temperature Nanoparticles Particle Size Models, Chemical Surface-Active Agents Nanotechnology Solvents Technology, Pharmaceutical Chemical Precipitation Lab-On-A-Chip Devices Microfluidic Analytical Techniques Dynamic Light Scattering Iodine Isotopes
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