These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

148 related articles for article (PubMed ID: 36859981)

  • 1. Untrained, physics-informed neural networks for structured illumination microscopy.
    Burns Z; Liu Z
    Opt Express; 2023 Feb; 31(5):8714-8724. PubMed ID: 36859981
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Untrained neural network enabling fast and universal structured-illumination microscopy.
    Ye Z; Li X; Sun Y; Huang Y; Liu X; Han Y; Kuang C
    Opt Lett; 2024 May; 49(9):2205-2208. PubMed ID: 38691680
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Surpassing the resolution limitation of structured illumination microscopy by an untrained neural network.
    He Y; Yao Y; He Y; Huang Z; Luo F; Zhang C; Qi D; Jia T; Wang Z; Sun Z; Yuan X; Zhang S
    Biomed Opt Express; 2023 Jan; 14(1):106-117. PubMed ID: 36698670
    [TBL] [Abstract][Full Text] [Related]  

  • 4. ML-SIM: universal reconstruction of structured illumination microscopy images using transfer learning.
    Christensen CN; Ward EN; Lu M; Lio P; Kaminski CF
    Biomed Opt Express; 2021 May; 12(5):2720-2733. PubMed ID: 34123499
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Answering some questions about structured illumination microscopy.
    Manton JD
    Philos Trans A Math Phys Eng Sci; 2022 Apr; 380(2220):20210109. PubMed ID: 35152757
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deep learning enables contrast-robust super-resolution reconstruction in structured illumination microscopy.
    Chen Y; Liu Q; Zhang J; Ye Z; Ye H; Zhu Y; Kuang C; Chen Y; Liu W
    Opt Express; 2024 Jan; 32(3):3316-3328. PubMed ID: 38297556
    [TBL] [Abstract][Full Text] [Related]  

  • 7. High speed structured illumination microscopy in optically thick samples.
    Shaw M; Zajiczek L; O'Holleran K
    Methods; 2015 Oct; 88():11-9. PubMed ID: 25839410
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Open-source image reconstruction of super-resolution structured illumination microscopy data in ImageJ.
    Müller M; Mönkemöller V; Hennig S; Hübner W; Huser T
    Nat Commun; 2016 Mar; 7():10980. PubMed ID: 26996201
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Keyframe-aided resolution enhancement network for dynamic super-resolution structured illumination microscopy.
    Tang Y; Wen G; Liang Y; Wang L; Zhang J; Li H
    Opt Lett; 2023 Jun; 48(11):2949-2952. PubMed ID: 37262251
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Fast reconstruction algorithm for structured illumination microscopy.
    Tu S; Liu Q; Liu X; Liu W; Zhang Z; Luo T; Kuang C; Liu X; Hao X
    Opt Lett; 2020 Mar; 45(6):1567-1570. PubMed ID: 32164018
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Improvement of two-dimensional structured illumination microscopy with an incoherent illumination pattern of tunable frequency.
    Shabani H; Doblas A; Saavedra G; Sanchez-Ortiga E; Preza C
    Appl Opt; 2018 Mar; 57(7):B92-B101. PubMed ID: 29521992
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Adaptive optics for structured illumination microscopy based on deep learning.
    Zheng Y; Chen J; Wu C; Gong W; Si K
    Cytometry A; 2021 Jun; 99(6):622-631. PubMed ID: 33543823
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 3D super-resolution microscopy based on nonlinear gradient descent structured illumination.
    Zhu H; Sun Y; Yin L; Han J; Cai M; Liu Q; Kuang C; Hao X; Liu X
    Opt Express; 2021 Jul; 29(14):21428-21443. PubMed ID: 34265931
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Chromatin investigation in the nucleus using a phasor approach to structured illumination microscopy.
    Cainero I; Cerutti E; Faretta M; Dellino GI; Pelicci PG; Bianchini P; Vicidomini G; Diaspro A; Lanzanò L
    Biophys J; 2021 Jun; 120(12):2566-2576. PubMed ID: 33940021
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Frequency-spatial domain joint optimization for improving super-resolution images of nonlinear structured illumination microscopy.
    Wen G; Wang L; Chen X; Tang Y; Li S
    Opt Lett; 2021 Dec; 46(23):5842-5845. PubMed ID: 34851904
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Second-order optimized regularized structured illumination microscopy (sorSIM) for high-quality and rapid super resolution image reconstruction with low signal level.
    Yu W; Li Y; Jooken S; Deschaume O; Liu F; Wang S; Bartic C
    Opt Express; 2020 May; 28(11):16708-16724. PubMed ID: 32549487
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Imaging tissues and cells beyond the diffraction limit with structured illumination microscopy and Bayesian image reconstruction.
    Pospíšil J; Lukeš T; Bendesky J; Fliegel K; Spendier K; Hagen GM
    Gigascience; 2019 Jan; 8(1):. PubMed ID: 30351383
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Physics-informed neural networks based on adaptive weighted loss functions for Hamilton-Jacobi equations.
    Liu Y; Cai L; Chen Y; Wang B
    Math Biosci Eng; 2022 Sep; 19(12):12866-12896. PubMed ID: 36654026
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep learning enables structured illumination microscopy with low light levels and enhanced speed.
    Jin L; Liu B; Zhao F; Hahn S; Dong B; Song R; Elston TC; Xu Y; Hahn KM
    Nat Commun; 2020 Apr; 11(1):1934. PubMed ID: 32321916
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep learning based one-shot optically-sectioned structured illumination microscopy for surface measurement.
    Chai C; Chen C; Liu X; Lei Z
    Opt Express; 2021 Feb; 29(3):4010-4021. PubMed ID: 33770989
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.