AIMC Topic: Light

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A representation learning approach for recovering scatter-corrected spectra from Fourier-transform infrared spectra of tissue samples.

Journal of biophotonics Dec 27, 2020
Infrared spectra obtained from cell or tissue specimen have commonly been observed to involve a significant degree of scattering effects, often Mie scattering, which probably overshadows biochemically relevant spectral information by a nonlinear, non...
Bayes Theorem Light Fourier Analysis Neural Networks, Computer Spectroscopy, Fourier Transform Infrared
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Graphitic carbon nitride/biochar composite synthesized by a facile ball-milling method for the adsorption and photocatalytic degradation of enrofloxacin.

Journal of environmental sciences (China) Nov 6, 2020
In order to enhance the removal performance of graphitic carbon nitride (g-CN) on organic pollutant, a simultaneous process of adsorption and photocatalysis was achieved via the compounding of biochar and g-CN. In this study, g-CN was obtained by a c...
Enrofloxacin Light Adsorption Graphite Charcoal Nitrogen Compounds
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Deep convolutional neural network recovers pure absorbance spectra from highly scatter-distorted spectra of cells.

Journal of biophotonics Sep 28, 2020
Infrared spectroscopy of cells and tissues is prone to Mie scattering distortions, which grossly obscure the relevant chemical signals. The state-of-the-art Mie extinction extended multiplicative signal correction (ME-EMSC) algorithm is a powerful to...
Neural Networks, Computer Algorithms Light Spectrophotometry, Infrared
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Nondestructive Detection for Egg Freshness Based on Hyperspectral Scattering Image Combined with Ensemble Learning.

Sensors (Basel, Switzerland) Sep 25, 2020
Scattering hyperspectral technology is a nondestructive testing method with many advantages. Here, we propose a method to improve the accuracy of egg freshness, research the influence of incident angles of light source on the accuracy, and explain it...
Eggs Light Hyperspectral Imaging Machine Learning Food Analysis
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Application of Deep Learning for Early Screening of Colorectal Precancerous Lesions under White Light Endoscopy.

Computational and mathematical methods in medicine Aug 18, 2020
METHODS: We collected and sorted out the white light endoscopic images of some patients undergoing colonoscopy. The convolutional neural network model is used to detect whether the image contains lesions: CRC, colorectal adenoma (CRA), and colorectal...
Humans Light Computational Biology Neural Networks, Computer Mass Screening Colonic Polyps Colorectal Neoplasms Precancerous Conditions Adenoma Diagnostic Errors Image Interpretation, Computer-Assisted Intestinal Polyps Colonoscopy Deep Learning
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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 ...
Scattering, Radiation Particle Size Light Suspensions Saccharomyces cerevisiae Dynamic Light Scattering Cell Size Neural Networks, Computer
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Toward neuroprosthetic real-time communication from in silico to biological neuronal network via patterned optogenetic stimulation.

Scientific reports May 5, 2020
Restoration of the communication between brain circuitry is a crucial step in the recovery of brain damage induced by traumatic injuries or neurological insults. In this work we present a study of real-time unidirectional communication between a spik...
Light Neurons Video Recording Action Potentials Equipment Design Microscopy, Fluorescence Electrodes, Implanted Optogenetics Neurotransmitter Agents Immunohistochemistry Cerebral Cortex Electrophysiology Brain Computer Simulation Animals In Vitro Techniques Rats Synapsins Models, Neurological Humans Neural Networks, Computer Cells, Cultured
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Multiperspective Light Field Reconstruction Method via Transfer Reinforcement Learning.

Computational intelligence and neuroscience Feb 14, 2020
Compared with traditional imaging, the light field contains more comprehensive image information and higher image quality. However, the available data for light field reconstruction are limited, and the repeated calculation of data seriously affects ...
Computer Simulation Light Machine Learning
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Celiac disease diagnosis from videocapsule endoscopy images with residual learning and deep feature extraction.

Computer methods and programs in biomedicine Nov 20, 2019
BACKGROUND AND OBJECTIVE: Videocapsule endoscopy (VCE) is a relatively new technique for evaluating the presence of villous atrophy in celiac disease patients. The diagnostic analysis of video frames is currently time-consuming and tedious. Recently,...
Deep Learning Image Processing, Computer-Assisted Support Vector Machine Celiac Disease Sensitivity and Specificity Humans Calibration Diagnosis, Computer-Assisted Machine Learning Capsule Endoscopy Algorithms Video Recording Intestinal Mucosa Image Interpretation, Computer-Assisted Reproducibility of Results Discriminant Analysis Linear Models Endoscopy Light
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Environment-Adaptable Artificial Visual Perception Behaviors Using a Light-Adjustable Optoelectronic Neuromorphic Device Array.

Advanced materials (Deerfield Beach, Fla.) Nov 14, 2019
Emulating the biological visual perception system typically requires a complex architecture including the integration of an artificial retina and optic nerves with various synaptic behaviors. However, self-adaptive synaptic behaviors, which are frequ...
Synapses Transistors, Electronic Visual Perception Neural Networks, Computer Light
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