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
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2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) Biomedical Imaging (ISBI), 2022 IEEE 19th International Symposium on. :1-4 Mar, 2022
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Algorithmic information theory applications in bright field microscopy and epithelial pattern formation / Hamid Mohamadlou.
Ebook
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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 |
3D Pose Identification of Moving Micro- and Nanowires in Fluid Suspensions under Bright -Field Microscopy
Song, Jiaxu;Wu, Juan;Yu, Kaiyan
Conference
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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
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Quantitative phase microscopy and tomography : techniques using partially spatially coherent monochromatic light / Dalip Singh Mehta, Ankit Butola, Veena Singh.
Book
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2022
Available at Available Merrill-Cazier Books (3rd Floor North) (Call number: QH 212 .P5 M44 2022)
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Merrill-Cazier Books (3rd Floor North) | QH 212 .P5 M44 2022 | Available |
MicrosMobiNet: A Deep Lightweight Network With Hierarchical Feature Fusion Scheme for Microscopy Image Analysis in Mobile-Edge Computing
Biswas, S.;Barma, S.
Academic Journal
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IEEE Internet of Things Journal IEEE Internet Things J. Internet of Things Journal, IEEE. 11(5):8288-8298 Mar, 2024
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Adaptive re-segmentation strategies for accurate bright field cell tracking [electronic resource] / by Nare Hayrapetyan.
Ebook
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2012
Available at Available Online freely available USU Digital Resources (USU and USU Eastern) (Call number: ELECTRONIC THESIS/DISSERTATION)
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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
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In Computers in Biology and Medicine April 2024 172
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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, ...
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In Atmospheric Pollution Research November 2023 14(11)
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Phase imaging in scanning transmission electron microscopy using bright -field balanced divergency method
Wang, Binbin;McComb, David W.
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, ...
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In Computer Methods and Programs in Biomedicine February 2023 229
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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
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2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) Biomedical Imaging (ISBI 2019), 2019 IEEE 16th International Symposium on. :232-235 Apr, 2019
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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
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Symmetry (20738994). Feb2024, Vol. 16 Issue 2, p227. 19p.
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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
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In Computers in Biology and Medicine August 2022 147
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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
Study of Starch Using Bright Field and Polarized Light Microscopy
Singh, Krishna Kant;Yadav, Yogendra;Kumar, Deepak;Singh, Ajitesh;Goswami, D...
Conference
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2019 Workshop on Recent Advances in Photonics (WRAP) Recent Advances in Photonics (WRAP), 2019 Workshop on. :1-2 Dec, 2019
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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
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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
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The resolution of fluorescence imaging has been significantly enhanced with the develo...
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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 - NanoparticlesContent provider:
MEDLINE
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