WebApr 6, 2024 · A novel deep-learning-based neural network, termed as NeuroSeg-II, to conduct automatic neuron segmentation for in vivo two-photon Ca2+ imaging data, based on Mask region-based convolutional neural network but has enhancements of an attention mechanism and modified feature hierarchy modules. The development of two-photon … WebXiao Peng, Xin-Yu Zhao, Li-Jing Li, Ming-Jie Sun. First-photon imaging via a hybrid penalty[J]. Photonics Research, 2024, 8(3): 03000325 Copy Citation Text
Imaging performance of a hybrid x-ray computed tomography ... - PubMed
WebApr 14, 2024 · Here, we present tomographic results from an integrated circuit interconnect using this hybrid electron and x-ray microscope 25,26,27 and compare the reconstructed image to the Graphics Design ... WebMar 17, 2024 · A high-quality image is reconstructed by applying intensity correlation to the negative and positive images for phase compensation. We performed simulations and experiments, which obtained high-quality images, demonstrating the feasibility of the methods. The proposed technique has the potential to image under sub-sampling … dunk showcase リセール
Computational Imaging Publications
WebJun 19, 2024 · In this paper, we report a first signal photon unit (FSPU) method to rapidly reconstruct depth image from sparse signal photon counts with strong noise robustness. … WebHere, a new hybrid penalty is proposed for the convex optimization algorithm of first-photon imaging, and its principle is given as follows. A. Pixelwise Reflectivity Maximum … WebFirst-photon imaging is a photon-efficient, computational imaging technique that reconstructs an image by recording only the first-photon arrival event at each spatial location and then optimizing the recorded photon information. The optimization algorithm plays a vital role in image formation. dunk shot app