Adaptive 3D convolutional neural network-based reconstruction ...- femtosecond laser processing with adaptive optics based on convolutional neural network ,T. Shimobaba, T. Kakue, and T. Ito, “Convolutional neural network-based regression for depth prediction in digital holography,” in 2018 IEEE 27th International Symposium on Industrial Electronics (ISIE) (IEEE, 2018), pp. 1323–1326. and combined with model-independent feedback for adaptively controlling particle accelerator beams. 36 36. A. Femtosecond laser processing - Today' Medical DevelopmentsDisk-based femtosecond lasers offer sub-400fs pulses and peak power for a high-quality, cold ablation cutting process opposed to a melt-ejection process. The resulting cut requires minimal post-processing and the smaller beam size allows fine detail machining. The process works well for medical devices such as catheters, heart valves, and ...
Holographic femtosecond laser processing is very useful for high-speed processing with low-loss of light. One of important subjects is to design a computer-generated hologram (CGH) with good performance in the processing system. We have proposed a CGH is optimized in the processing system. The latest method is the SH optimization method based on parallel SH generation. The SH method ...
Femtosecond Laser Processing With Adaptive Optics Based on Convolutional Neural Network - Yoshio Hayasaki, Satoshi Hasegawa
Femtosecond Laser and Micromachining. The industrial robustness of the disk fs laser needs to be matched to an equivalent system to deliver the day-in/day-out reliability that the medical device industry demands. The fs laser cannot currently be fiber-delivered and, therefore, is directed and delivered to the focusing optics by fixed mirrors.
Our Femtosecond Autocorrelator and Femtosecond Pulse Compressor are recommended for use with our Ti:Sapphire lasers. Two THz antennas use a femtosecond laser input to generate THz radiation. Our supercontinuum generation kit spectrally broadens fs pulses near 800 nm. We also offer optical delay lines, ultrafast optics, a dispersion measurement ...
S. Hasegawa and Y. Hayasaki, "Holographic femtosecond laser processing system with adaptive wavefornt control," in Proceedings of the International Quantum Electronics Conference and Conference on Lasers and Electro-Optics Pacific Rim 2011, (Optica Publishing Group, 2011), paper C932.
In this paper, femtosecond laser processing with adaptive optics based on a convolutional neural network was demonstrated. The aberrations existing in the laser processing system were continuously...
introduction to femtosecond laser optics 74 72 92 80 94 84 96 86 98 88 90 components for the third harmonic of the ti:sapphire laser broadband femtosecond laser optics components for the higher harmonics of the ti:sapphire laser octave spanning femtosecond laser optics gires-tournois-interferometer (gti) mirrors silver mirrors for femtosecond ...
In this paper, femtosecond laser processing with adaptive optics based on a convolutional neural network was demonstrated. The aberrations existing in the laser processing system were continuously predicted by the trained network with an update period of 36 ms and was compensated by a liquid crystal spatial light modulator.
Imaging with an adaptive optics scanning light ophthalmoscope (AOSLO) enables direct visualization of the cone photoreceptor mosaic in the living human retina. Quantitative analysis of AOSLO ...
Femtosecond laser processing with adaptive optics based on convolutional neural network Article Jun 2021 OPT LASER ENG Satoshi Hasegawa Yoshio Hayasaki View Show abstract Machine learning guided...
Figure 1 shows the experimental setup for adaptive optics aberration compensation based on a convolutional neural network, in which a mode-locked Ti–sapphire laser (Chameleon Ultra II, Coherent, Santa Clara, CA, USA) with a wavelength of 780 nm was used as the light source. A half-wave plate (Thorlabs, Newton, NJ, USA) is used to control the ...
In this work, we propose a new content-adaptive convo-lution layer that addresses some of the limitations of the ex-isting content-adaptive layers while retaining several favor-able properties of spatially invariant convolution. Fig. 1 il-lustrates our content-adaptive convolution operation, which we call “Pixel-Adaptive Convolution” (PAC).
Herein, a state-of-the-art review is provided on the femtosecond laser processing of LiNbO 3 crystals, including the fabrication of diverse photonic structures and applications in nonlinear optics. To conclude, a brief outlook with a few potential spotlights is presented.
Our Femtosecond Autocorrelator and Femtosecond Pulse Compressor are recommended for use with our Ti:Sapphire lasers. Two THz antennas use a femtosecond laser input to generate THz radiation. Our supercontinuum generation kit spectrally broadens fs pulses near 800 nm. We also offer optical delay lines, ultrafast optics, a dispersion measurement ...
Figure 1 – Schematic processing comparison of microsecond to femtosecond lasers Figure 1 illustrates these effects on an application using a long pulse laser (for example, µs) compared to that of an ultra-short pulse laser like an fs laser. Femtosecond laser technology is not new; it’s been widely used in institutions and research centers
Imaging with an adaptive optics scanning light ophthalmoscope (AOSLO) enables direct visualization of the cone photoreceptor mosaic in the living human retina. Quantitative analysis of AOSLO ...
Femtosecond laser processing with adaptive optics based on convolutional neural network Optics and Lasers in Engineering 10.1016/j.optlaseng.2021.106563
There is a strong need for a highly efficient method to find the optimal conditions to achieve a desired result in laser processing, oftentimes from a multidimensional parameter space. In this study, we adopted Bayesian optimization as an efficient statistical optimization method robust to the inherent variations observed in typical laser processing results. Specifically, the intensity and ...
In this paper, femtosecond laser processing with adaptive optics based on a convolutional neural network was demonstrated. The aberrations existing in the laser processing system were continuously predicted by the trained network with an update period of 36 ms and was compensated by a liquid crystal spatial light modulator.
U-Net based convolutional neural network for segmenting capillaries from perfusion images acquired by an adaptive optics scanning laser ophthalmoscope 5 stars 0 forks Star
Convolutional neural networks (CNNs) are at the heart of several machine learning applications, while they suffer from computational complexity due to their large number of parameters and operations. Recently, all-optical implementation of the CNNs has achieved many attentions, however, the recently proposed optical architectures for CNNs cannot fully utilize the tremendous capabilities of ...
The modulation format information is also indispensable for carrier-phase-recovery in a coherent optical receiver. Because constellation diagrams of modulation signals are susceptible to various noises, we utilize a convolutional neural network to process the amplitude data after the modulation-format-agnostic clock recovery.
Optalysys, the UK-based developer of an optical computing platform using low-power laser light to carry out certain processor-intensive mathematical functions, has announced the first implementation of a convolutional neural network (CNN) using its technology. CNNs, a focus of interest for the kind of machine learning methods referred to as ...
ond laser precision processing. The challenges and perspec-tives for the femtosecond laser precision engineering are discussed. 2. Basic Theory and Development of Ultrafast Laser Processing Since the emergence of the first pulse ruby laser and the ear-liest study of laser processing [35], the unique laser-matter
