Listar INIT_Articles por autoría "1799ee0f-46dc-4149-977e-dacc4afba8f8"
Mostrando ítems 1-3 de 3
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Improving the reliability of deep learning computational ghost imaging with prediction uncertainty based on neighborhood feature maps
Kataoka, Shoma; Mizutani, Yasuhiro; Ipus, Erick; Nitta, Kouichi; Matoba, Osamu; Takaya, Yasuhiro; Tajahuerce, Enrique Optica Publishing Group (2024-05-10)Defect inspection is required in various fields, and many researchers have attempted deep-learning algorithms for inspections. Deep-learning algorithms have advantages in terms of accuracy and measurement time; however, ... -
Multi-Physical Parameter Cross-Sectional Imaging of Quantitative Phase and Fluorescence by Integrated Multimodal Microscopy
Rajput, Sudheesh Kumar; Matoba, Osamu; Kumar, Manoj; Quan, Xiangyu; Awatsuji, Yasuhiro; Tamada, Yosuke; Tajahuerce, Enrique IEEE (2021-03-11)Integrated multimodal cross-sectional or volumetric imaging techniques give us fruitful information to understand the behavior or status of target objects such as biological samples. Most of the reported systems for ... -
Three-dimensional fluorescence imaging using the transport of intensity equation
Rajput, Sudheesh; Kumar, Manoj; Quan, Xiangyu; Morita, Mitsuhiro; Furuyashiki, Tomoyuki; Awatsuji, Yasuhiro; Tajahuerce, Enrique; Matoba, Osamu SPIE (2019-11-12)We propose a nonscanning three-dimensional (3-D) fluorescence imaging technique using the transport of intensity equation (TIE) and free-space Fresnel propagation. In this imaging technique, a phase distribution corresponding ...