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 *

214 related articles for article (PubMed ID: 28836416)

  • 1. Automated classification of cell morphology by coherence-controlled holographic microscopy.
    Strbkova L; Zicha D; Vesely P; Chmelik R
    J Biomed Opt; 2017 Aug; 22(8):1-9. PubMed ID: 28836416
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automated interpretation of time-lapse quantitative phase image by machine learning to study cellular dynamics during epithelial-mesenchymal transition.
    Strbkova L; Carson BB; Vincent T; Vesely P; Chmelik R
    J Biomed Opt; 2020 Aug; 25(8):. PubMed ID: 32812412
    [TBL] [Abstract][Full Text] [Related]  

  • 3. TOP-GAN: Stain-free cancer cell classification using deep learning with a small training set.
    Rubin M; Stein O; Turko NA; Nygate Y; Roitshtain D; Karako L; Barnea I; Giryes R; Shaked NT
    Med Image Anal; 2019 Oct; 57():176-185. PubMed ID: 31325721
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Quantitative phase microscopy spatial signatures of cancer cells.
    Roitshtain D; Wolbromsky L; Bal E; Greenspan H; Satterwhite LL; Shaked NT
    Cytometry A; 2017 May; 91(5):482-493. PubMed ID: 28426133
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automated three-dimensional tracking of living cells by digital holographic microscopy.
    Langehanenberg P; Ivanova L; Bernhardt I; Ketelhut S; Vollmer A; Dirksen D; Georgiev G; von Bally G; Kemper B
    J Biomed Opt; 2009; 14(1):014018. PubMed ID: 19256706
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Exploring neural cell dynamics with digital holographic microscopy.
    Marquet P; Depeursinge C; Magistretti PJ
    Annu Rev Biomed Eng; 2013; 15():407-31. PubMed ID: 23662777
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automated quantitative analysis of 3D morphology and mean corpuscular hemoglobin in human red blood cells stored in different periods.
    Moon I; Yi F; Lee YH; Javidi B; Boss D; Marquet P
    Opt Express; 2013 Dec; 21(25):30947-57. PubMed ID: 24514667
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Real-Time Stain-Free Classification of Cancer Cells and Blood Cells Using Interferometric Phase Microscopy and Machine Learning.
    Nissim N; Dudaie M; Barnea I; Shaked NT
    Cytometry A; 2021 May; 99(5):511-523. PubMed ID: 32910546
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Simple and fast spectral domain algorithm for quantitative phase imaging of living cells with digital holographic microscopy.
    Min J; Yao B; Ketelhut S; Engwer C; Greve B; Kemper B
    Opt Lett; 2017 Jan; 42(2):227-230. PubMed ID: 28081079
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Digital holographic microscopy with dual-wavelength phase unwrapping.
    Parshall D; Kim MK
    Appl Opt; 2006 Jan; 45(3):451-9. PubMed ID: 16463728
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Quantitative assessment of cancer cell morphology and motility using telecentric digital holographic microscopy and machine learning.
    Lam VK; Nguyen TC; Chung BM; Nehmetallah G; Raub CB
    Cytometry A; 2018 Mar; 93(3):334-345. PubMed ID: 29283496
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Label-free observation of three-dimensional morphology change of a single PC12 cell by digital holographic microscopy.
    Mir TA; Shinohara H
    Anal Biochem; 2012 Oct; 429(1):53-7. PubMed ID: 22796499
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Label-free, high-throughput holographic screening and enumeration of tumor cells in blood.
    Singh DK; Ahrens CC; Li W; Vanapalli SA
    Lab Chip; 2017 Aug; 17(17):2920-2932. PubMed ID: 28718848
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automated three-dimensional detection and classification of living organisms using digital holographic microscopy with partial spatial coherent source: application to the monitoring of drinking water resources.
    El Mallahi A; Minetti C; Dubois F
    Appl Opt; 2013 Jan; 52(1):A68-80. PubMed ID: 23292424
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Label-free sensor for automatic identification of erythrocytes using digital in-line holographic microscopy and machine learning.
    Go T; Byeon H; Lee SJ
    Biosens Bioelectron; 2018 Apr; 103():12-18. PubMed ID: 29277009
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Learning-based automatic sensing and size classification of microparticles using smartphone holographic microscopy.
    Go T; Yoon GY; Lee SJ
    Analyst; 2019 Feb; 144(5):1751-1760. PubMed ID: 30666996
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Plankton classification with high-throughput submersible holographic microscopy and transfer learning.
    MacNeil L; Missan S; Luo J; Trappenberg T; LaRoche J
    BMC Ecol Evol; 2021 Jun; 21(1):123. PubMed ID: 34134620
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Human red blood cell recognition enhancement with three-dimensional morphological features obtained by digital holographic imaging.
    Jaferzadeh K; Moon I
    J Biomed Opt; 2016 Dec; 21(12):126015. PubMed ID: 28006044
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Label-free cell classification in holographic flow cytometry through an unbiased learning strategy.
    Ciaparrone G; Pirone D; Fiore P; Xin L; Xiao W; Li X; Bardozzo F; Bianco V; Miccio L; Pan F; Memmolo P; Tagliaferri R; Ferraro P
    Lab Chip; 2024 Feb; 24(4):924-932. PubMed ID: 38264771
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Quantitative phase imaging of live cells with near on-axis digital holographic microscopy using constrained optimization approach.
    Pandiyan VP; Khare K; John R
    J Biomed Opt; 2016 Oct; 21(10):106003. PubMed ID: 27768784
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.