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Faster R-CNN for IPSC-Derived Mesenchymal Stromal Cells Senescent Detection from Bright-Field Microscopy
Li, Mingzhu;He, Liangge;Wang, Xinglie;Wang, Tianfu;Yue, Guanghui;Zhou, Guan...
Conference Conference | 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) Biomedical Imaging (ISBI), 2022 IEEE 19th International Symposium on. :1-4 Mar, 2022 Please log in to see more details

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Algorithmic information theory applications in bright field microscopy and epithelial pattern formation / Hamid Mohamadlou.
Ebook | 2015
Available at Available Online freely available USU Digital Resources (USU and USU Eastern) (Call number: ELECTRONIC THESIS/DISSERTATION)
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Online freely available USU Digital Resources (USU and USU Eastern) ELECTRONIC THESIS/DISSERTATION Available

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3D Pose Identification of Moving Micro- and Nanowires in Fluid Suspensions under Bright-Field Microscopy
Song, Jiaxu;Wu, Juan;Yu, Kaiyan
Conference Conference | 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) Automation Science and Engineering (CASE), 2022 IEEE 18th International Conference on. :987-992 Aug, 2022 Please log in to see more details

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MicrosMobiNet: A Deep Lightweight Network With Hierarchical Feature Fusion Scheme for Microscopy Image Analysis in Mobile-Edge Computing
Biswas, S.;Barma, S.
Academic Journal Academic Journal | IEEE Internet of Things Journal IEEE Internet Things J. Internet of Things Journal, IEEE. 11(5):8288-8298 Mar, 2024 Please log in to see more details

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Adaptive re-segmentation strategies for accurate bright field cell tracking [electronic resource] / by Nare Hayrapetyan.
Ebook | 2012
Available at Available Online freely available USU Digital Resources (USU and USU Eastern) (Call number: ELECTRONIC THESIS/DISSERTATION)
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Online freely available USU Digital Resources (USU and USU Eastern) ELECTRONIC THESIS/DISSERTATION Available

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Automatic bright-field smear microscopy for diagnosis of pulmonary tuberculosis
Serrão, Mikaela Kalline Maciel;Costa, Marly Guimarães Fernandes;Fujimoto, L...
Academic Journal Academic Journal | In Computers in Biology and Medicine April 2024 172 Please log in to see more details

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Detection and identification of shape, size, and concentration of particulate matter in ambient air using bright field microscopy-based system
Kumar, Anand;Dhawan, Sachin;Kumar, M. Vijaya;Khare, Mukesh;Shiva Nagendra, ...
Academic Journal Academic Journal | In Atmospheric Pollution Research November 2023 14(11) Please log in to see more details

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Human induced pluripotent stem cell formation and morphology prediction during reprogramming with time-lapse bright-field microscopy images using deep learning methods
Chu, Slo-Li;Sudo, Kazuhiro;Yokota, Hideo;Abe, Kuniya;Nakamura, Yukio;Tsai, ...
Academic Journal Academic Journal | In Computer Methods and Programs in Biomedicine February 2023 229 Please log in to see more details

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Nerve Fiber Segmentation in Bright-Field Microscopy Images of Skin Biopsies Using Deep Learning
Bergwerf, Herman;Bechakra, Malik;Smal, Ihor;Jongen, Joost L. M.;Meijering, ...
Conference Conference | 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) Biomedical Imaging (ISBI 2019), 2019 IEEE 16th International Symposium on. :232-235 Apr, 2019 Please log in to see more details

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Symmetry Breaking in the U-Net: Hybrid Deep-Learning Multi-Class Segmentation of HeLa Cells in Reflected Light Microscopy Images.
Ghaznavi, Ali;Rychtáriková, Renata;Císař, Petr;Ziaei, Mohammad Mehdi;Štys, ...
Academic Journal Academic Journal | Symmetry (20738994). Feb2024, Vol. 16 Issue 2, p227. 19p. Please log in to see more details

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Cell segmentation from telecentric bright-field transmitted light microscopy images using a Residual Attention U-Net: A case study on HeLa line
Ghaznavi, Ali;Rychtáriková, Renata;Saberioon, Mohammadmehdi;Štys, Dalibor
Academic Journal Academic Journal | In Computers in Biology and Medicine August 2022 147 Please log in to see more details

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Long-term fate tracking and quantitative analyzing of nanoparticles in stem cells with bright-field microscopy
Ye, Dewen;Li, Mingxi;Feng, Kaizheng;Zhang, Yu;Sheng, Jingyi;Gu, Ning
Academic Journal Academic Journal | In Nano Today June 2022 44 Please log in to see more details

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Study of Starch Using Bright Field and Polarized Light Microscopy
Singh, Krishna Kant;Yadav, Yogendra;Kumar, Deepak;Singh, Ajitesh;Goswami, D...
Conference Conference | 2019 Workshop on Recent Advances in Photonics (WRAP) Recent Advances in Photonics (WRAP), 2019 Workshop on. :1-2 Dec, 2019 Please log in to see more details

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Correlative super-resolution bright-field and fluorescence imaging by microsphere assisted microscopy.
Luo H;Jiang C;Wen Y;Wang X;Wang F;Liu L;Yu H
Academic Journal Academic Journal | Publisher: RSC Pub Country of Publication: England NLM ID: 101525249 Publication Model: Electronic Cited Medium: Internet ISSN: 2040-3372 (Electronic) Linking ISSN: 20403364 NLM ISO Abbreviation: Nanoscale Subsets: MEDLINE Please log in to see more details
The resolution of fluorescence imaging has been significantly enhanced with the develo... more
Correlative super-resolution bright-field and fluorescence imaging by microsphere assisted microscopy.
Publisher: RSC Pub Country of Publication: England NLM ID: 101525249 Publication Model: Electronic Cited Medium: Internet ISSN: 2040-3372 (Electronic) Linking ISSN: 20403364 NLM ISO Abbreviation: Nanoscale Subsets: MEDLINE
The resolution of fluorescence imaging has been significantly enhanced with the development of super-resolution imaging techniques, surpassing the diffraction limit and reaching sub-diffraction scales of tens of nanometers. However, the resolution of the bright-field images of cells is restricted by the diffraction limit, leading to a significant gap between the resolutions of fluorescence and bright-field imaging, which hinders the research of the precise distribution of intracellular nanostructures. A microsphere superlens offers a promising solution by providing label-free super-resolution imaging capabilities compatible with fluorescence super-resolution imaging. In this study, we used microsphere superlenses to simultaneously enhance the resolution of bright-field and fluorescence imaging, achieving correlated super-resolution bright-field and fluorescence imaging. Compared to conventional bright-field images, we improved the imaging resolution from λ /1.3 to λ /4.2. A correlative super-resolution of mouse skeletal muscle cells was achieved, enabling the clear observation of the precise distribution of nanoparticles in mouse skeletal muscle cells. Furthermore, microsphere superlenses inherit the advantages of optical imaging, which is expected to enable the capturing of ultrafast biological activity within living cells with extremely high temporal resolutions.

Subject terms:

Animals - Mice - Microscopy, Fluorescence methods - Microspheres - Optical Imaging - Nanostructures - Nanoparticles

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MEDLINE

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