AIMC Topic: Optics and Photonics
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Deep Learning in Biomedical Optics.
Lasers in surgery and medicine
May 20, 2021
This article reviews deep learning applications in biomedical optics with a particular emphasis on image formation. The review is organized by imaging domains within biomedical optics and includes microscopy, fluorescence lifetime imaging, in vivo mi...
Adaptive optics for structured illumination microscopy based on deep learning.
Cytometry. Part A : the journal of the International Society for Analytical Cytology
Feb 17, 2021
Structured illumination microscopy (SIM) is widely used in biological imaging for its high resolution, fast imaging speed, and simple optical setup. However, when imaging thick samples, the structured illumination patterns in SIM will suffer from opt...
Optical Axons for Electro-Optical Neural Networks.
Sensors (Basel, Switzerland)
Oct 27, 2020
Recently, neuromorphic sensors, which convert analogue signals to spiking frequencies, have been reported for neurorobotics. In bio-inspired systems these sensors are connected to the main neural unit to perform post-processing of the sensor data. ...
Accuracy of Artificial Intelligence Formulas and Axial Length Adjustments for Highly Myopic Eyes.
American journal of ophthalmology
Sep 18, 2020
PURPOSE: To compare the accuracy of artificial intelligence formulas (Kane formula and Radial Basis Function [RBF] 2.0) and other formulas, including the original and modified Wang-Koch (MWK) adjustment formulas for Holladay 1 (H1-MWK) and SRK/T (SRK...
Ultrafast optical integration and pattern classification for neuromorphic photonics based on spiking VCSEL neurons.
Scientific reports
Apr 8, 2020
In today's data-driven world, the ability to process large data volumes is crucial. Key tasks, such as pattern recognition and image classification, are well suited for artificial neural networks (ANNs) inspired by the brain. Neuromorphic computing a...
Ensemble of neural networks for 3D position estimation in monolithic PET detectors.
Physics in medicine and biology
Oct 4, 2019
We propose an ensemble of multilayer feedforward neural networks to estimate the 3D position of photoelectric interactions in monolithic detectors. The ensemble is trained with data generated from optical Monte Carlo simulations only. The originality...
Multiparameter optimisation of a magneto-optical trap using deep learning.
Nature communications
Oct 19, 2018
Machine learning based on artificial neural networks has emerged as an efficient means to develop empirical models of complex systems. Cold atomic ensembles have become commonplace in laboratories around the world, however, many-body interactions giv...
Underwater Inherent Optical Properties Estimation Using a Depth Aided Deep Neural Network.
Computational intelligence and neuroscience
Nov 15, 2017
Underwater inherent optical properties (IOPs) are the fundamental clues to many research fields such as marine optics, marine biology, and underwater vision. Currently, beam transmissometers and optical sensors are considered as the ideal IOPs measur...
Multimodal Imaging in Diabetic Macular Edema.
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Jan 29, 2017
Throughout ophthalmic history it has been shown that progress has gone hand in hand with technological breakthroughs. In the past, fluorescein angiography and fundus photographs were the most commonly used imaging modalities in the management of diab...
Photonic crystal fiber-based immunosensor for high-performance detection of alpha fetoprotein.
Biosensors & bioelectronics
Dec 30, 2016
We have developed a sensitive photonic crystal fiber (PCF)-based immunosensor for detection of alpha fetoprotein (AFP). The unique PCF possesses a morphology characterized by numerous pore structures and a large surface area-to-volume ratio, which ca...
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