AIMC Topic: Lasers

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Identification of Radix Bupleuri From Different Geographic Origins Using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry and Support Vector Machine Algorithm.

Journal of AOAC International Nov 2, 2023
BACKGROUND: The geographic origin of Radix bupleuri is an important factor affecting its efficacy, which needs to be effectively identified.
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Lasers Support Vector Machine Plant Extracts
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In-situ and fast classification of origins of Baishao (Radix Paeoniae Alba) slices based on auto-focus laser-induced breakdown spectroscopy.

Optics letters Jul 1, 2023
In this Letter, a rapid origin classification device and method for Baishao (Radix Paeoniae Alba) slices based on auto-focus laser-induced breakdown spectroscopy (LIBS) is proposed. The enhancement of spectral signal intensity and stability through a...
Spectrum Analysis Lasers Snails Machine Learning Neural Networks, Computer
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Extreme Events Prediction from Nonlocal Partial Information in a Spatiotemporally Chaotic Microcavity Laser.

Physical review letters Jun 2, 2023
The forecasting of high-dimensional, spatiotemporal nonlinear systems has made tremendous progress with the advent of model-free machine learning techniques. However, in real systems it is not always possible to have all the information needed; only ...
Machine Learning Entropy Lasers Forecasting
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Deep-learning-based 3D blood flow reconstruction in transmissive laser speckle imaging.

Optics letters Jun 1, 2023
Transmissive laser speckle imaging (LSI) is useful for monitoring large field-of-view (FOV) blood flow in thick tissues. However, after longer transmissions, the contrast of the transmitted speckle images is more likely to be blurred by multiple scat...
Hemodynamics Phantoms, Imaging Imaging, Three-Dimensional Lasers Deep Learning
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ICESat-2 laser data denoising algorithm based on a back propagation neural network.

Applied optics Oct 1, 2022
The Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) photon data is the emerging satellite-based LiDAR data, widely used in surveying and mapping due to its small photometric spot and high density. Since ICESat-2 data collect weak signals, it is...
Ice Lasers Algorithms Neural Networks, Computer
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Motion detection and direction recognition in a photonic spiking neural network consisting of VCSELs-SA.

Optics express Aug 29, 2022
Motion detection and direction recognition are two important fundamental visual functions among the many cognitive functions performed by the human visual system. The retina and visual cortex are indispensable for composing the visual nervous system....
Neural Networks, Computer Humans Photons Lasers Optics and Photonics Motion
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AOSLO-net: A Deep Learning-Based Method for Automatic Segmentation of Retinal Microaneurysms From Adaptive Optics Scanning Laser Ophthalmoscopy Images.

Translational vision science & technology Aug 1, 2022
PURPOSE: Accurate segmentation of microaneurysms (MAs) from adaptive optics scanning laser ophthalmoscopy (AOSLO) images is crucial for identifying MA morphologies and assessing the hemodynamics inside the MAs. Herein, we introduce AOSLO-net to perfo...
Microaneurysm Ophthalmoscopy Optics and Photonics Lasers Humans Deep Learning Diabetic Retinopathy
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Frequency-switched photonic spiking neurons.

Optics express Jun 6, 2022
We propose an approach to generate neuron-like spikes of vertical-cavity surface-emitting laser (VCSEL) by multi-frequency switching. A stable temporal spiking sequence has been realized both by numerical simulations and experiments with a pulse widt...
Photons Lasers Optics and Photonics Neurons Neural Networks, Computer
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Photonics-enabled spiking timing-dependent convolutional neural network for real-time image classification.

Optics express May 9, 2022
A photonics-enabled spiking timing-dependent convolutional neural network (CNN) is proposed by manipulating photonics multidimensional parameters in terms of wavelength, temporal and spatial, which breaks the traditional CNN architecture mapping from...
Neural Networks, Computer Optics and Photonics Machine Learning Lasers
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[Gait Measurement System Using Laser Range Sensor Based on Lower-limb Rehabilitation Robot].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Mar 30, 2022
Spatiotemporal gait parameters provide important information for the rehabilitation of patients with gait dysfunction. These parameters are often obtained by complex systems such as optical motioncapture system and pressure plates. However, these sys...
Lasers Robotics Biomechanical Phenomena Motion Lower Extremity Humans Gait
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