AIMC Topic: Light
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Large-Area Pixelized Optoelectronic Neuromorphic Devices with Multispectral Light-Modulated Bidirectional Synaptic Circuits.
Advanced materials (Deerfield Beach, Fla.)
Sep 22, 2021
The complete hardware implementation of an optoelectronic neuromorphic computing system is considered as one of the most promising solutions to realize energy-efficient artificial intelligence. Here, a fully light-driven and scalable optoelectronic n...
Biodegradable Small-Scale Swimmers for Biomedical Applications.
Advanced materials (Deerfield Beach, Fla.)
Sep 3, 2021
Most forms of biomatter are ephemeral, which means they transform or deteriorate after a certain time. From this perspective, implantable healthcare devices designed for temporary treatments should exhibit the ability to degrade and either blend in w...
An Optogenetics-Inspired Flexible van der Waals Optoelectronic Synapse and its Application to a Convolutional Neural Network.
Advanced materials (Deerfield Beach, Fla.)
Aug 22, 2021
Optogenetics refers to a technique that uses light to modulate neuronal activity with a high spatiotemporal resolution, which enables the manipulation of learning and memory functions in the human brain. This strategy of controlling neuronal activity...
Convolution Network with Custom Loss Function for the Denoising of Low SNR Raman Spectra.
Sensors (Basel, Switzerland)
Jul 6, 2021
Raman spectroscopy is a powerful diagnostic tool in biomedical science, whereby different disease groups can be classified based on subtle differences in the cell or tissue spectra. A key component in the classification of Raman spectra is the applic...
Deep learning-based classification of blue light cystoscopy imaging during transurethral resection of bladder tumors.
Scientific reports
Jun 2, 2021
Bladder cancer is one of the top 10 frequently occurring cancers and leads to most cancer deaths worldwide. Recently, blue light (BL) cystoscopy-based photodynamic diagnosis was introduced as a unique technology to enhance the detection of bladder ca...
High-resolution single-shot phase-shifting interference microscopy using deep neural network for quantitative phase imaging of biological samples.
Journal of biophotonics
May 7, 2021
White light phase-shifting interference microscopy (WL-PSIM) is a prominent technique for high-resolution quantitative phase imaging (QPI) of industrial and biological specimens. However, multiple interferograms with accurate phase-shifts are essenti...
Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental design.
Communications biology
Mar 19, 2021
Microbial rhodopsins are photoreceptive membrane proteins, which are used as molecular tools in optogenetics. Here, a machine learning (ML)-based experimental design method is introduced for screening rhodopsins that are likely to be red-shifted from...
Monitoring social distancing under various low light conditions with deep learning and a single motionless time of flight camera.
PloS one
Feb 25, 2021
The purpose of this work is to provide an effective social distance monitoring solution in low light environments in a pandemic situation. The raging coronavirus disease 2019 (COVID-19) caused by the SARS-CoV-2 virus has brought a global crisis with ...
DeepLabStream enables closed-loop behavioral experiments using deep learning-based markerless, real-time posture detection.
Communications biology
Jan 29, 2021
In general, animal behavior can be described as the neuronal-driven sequence of reoccurring postures through time. Most of the available current technologies focus on offline pose estimation with high spatiotemporal resolution. However, to correlate ...
Deep learning-based pupil model predicts time and spectral dependent light responses.
Scientific reports
Jan 12, 2021
Although research has made significant findings in the neurophysiological process behind the pupillary light reflex, the temporal prediction of the pupil diameter triggered by polychromatic or chromatic stimulus spectra is still not possible. State o...
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