Cargando…
Leukocyte super-resolution via geometry prior and structural consistency
Significance: Researchers have made great progress in single-image super-resolution (SISR) using deep convolutional neural networks. However, in the field of leukocyte imaging, the performance of existing SISR methods is still limited as it fails to thoroughly explore the geometry and structural con...
Autores principales: | Hua, Xia, Cai, Yue, Zhou, You, Yan, Feng, Cao, Xun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society of Photo-Optical Instrumentation Engineers
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7533716/ https://www.ncbi.nlm.nih.gov/pubmed/33021088 http://dx.doi.org/10.1117/1.JBO.25.10.106501 |
Ejemplares similares
-
Analyzing the super-resolution characteristics of focused-spot illumination approaches
por: Yu, Jiun-Yann, et al.
Publicado: (2020) -
Simultaneous multiple-emitter fitting for single molecule super-resolution imaging
por: Huang, Fang, et al.
Publicado: (2011) -
Unsupervised super-resolution reconstruction of hyperspectral histology images for whole-slide imaging
por: Ma, Ling, et al.
Publicado: (2022) -
Small training dataset convolutional neural networks for application-specific super-resolution microscopy
por: Mannam, Varun, et al.
Publicado: (2023) -
Fast 3D super-resolution imaging using a digital micromirror device and binary holography
por: Chen, Jialong, et al.
Publicado: (2021)