BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

182 related articles for article (PubMed ID: 31554957)

  • 1. High-throughput detection and tracking of cells and intracellular spots in mother machine experiments.
    Ollion J; Elez M; Robert L
    Nat Protoc; 2019 Nov; 14(11):3144-3161. PubMed ID: 31554957
    [TBL] [Abstract][Full Text] [Related]  

  • 2. DeLTA: Automated cell segmentation, tracking, and lineage reconstruction using deep learning.
    Lugagne JB; Lin H; Dunlop MJ
    PLoS Comput Biol; 2020 Apr; 16(4):e1007673. PubMed ID: 32282792
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Single-cell analysis of mycobacteria using microfluidics and time-lapse microscopy.
    Dhar N; Manina G
    Methods Mol Biol; 2015; 1285():241-56. PubMed ID: 25779320
    [TBL] [Abstract][Full Text] [Related]  

  • 4. TLM-Tracker: software for cell segmentation, tracking and lineage analysis in time-lapse microscopy movies.
    Klein J; Leupold S; Biegler I; Biedendieck R; Münch R; Jahn D
    Bioinformatics; 2012 Sep; 28(17):2276-7. PubMed ID: 22772947
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Tools and methods for high-throughput single-cell imaging with the mother machine.
    Thiermann R; Sandler M; Ahir G; Sauls JT; Schroeder J; Brown S; Le Treut G; Si F; Li D; Wang JD; Jun S
    Elife; 2024 Apr; 12():. PubMed ID: 38634855
    [TBL] [Abstract][Full Text] [Related]  

  • 6. DeLTA 2.0: A deep learning pipeline for quantifying single-cell spatial and temporal dynamics.
    O'Connor OM; Alnahhas RN; Lugagne JB; Dunlop MJ
    PLoS Comput Biol; 2022 Jan; 18(1):e1009797. PubMed ID: 35041653
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Cytokit: a single-cell analysis toolkit for high dimensional fluorescent microscopy imaging.
    Czech E; Aksoy BA; Aksoy P; Hammerbacher J
    BMC Bioinformatics; 2019 Sep; 20(1):448. PubMed ID: 31477013
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Cell Segmentation/Tracking Tool Based on Machine Learning.
    Deter HS; Dies M; Cameron CC; Butzin NC; Buceta J
    Methods Mol Biol; 2019; 2040():399-422. PubMed ID: 31432490
    [TBL] [Abstract][Full Text] [Related]  

  • 9. SuperSegger: robust image segmentation, analysis and lineage tracking of bacterial cells.
    Stylianidou S; Brennan C; Nissen SB; Kuwada NJ; Wiggins PA
    Mol Microbiol; 2016 Nov; 102(4):690-700. PubMed ID: 27569113
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A robust algorithm for segmenting and tracking clustered cells in time-lapse fluorescent microscopy.
    Tarnawski W; Kurtcuoglu V; Lorek P; Bodych M; Rotter J; Muszkieta M; Piwowar Ł; Poulikakos D; Majkowski M; Ferrari A
    IEEE J Biomed Health Inform; 2013 Jul; 17(4):862-9. PubMed ID: 25055315
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Image-Based Single Cell Profiling: High-Throughput Processing of Mother Machine Experiments.
    Sachs CC; Grünberger A; Helfrich S; Probst C; Wiechert W; Kohlheyer D; Nöh K
    PLoS One; 2016; 11(9):e0163453. PubMed ID: 27661996
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Tools and methods for high-throughput single-cell imaging with the mother machine.
    Thiermann R; Sandler M; Ahir G; Sauls JT; Schroeder JW; Brown SD; Le Treut G; Si F; Li D; Wang JD; Jun S
    bioRxiv; 2024 Feb; ():. PubMed ID: 37066401
    [TBL] [Abstract][Full Text] [Related]  

  • 13. CAST: An automated segmentation and tracking tool for the analysis of transcriptional kinetics from single-cell time-lapse recordings.
    Blanchoud S; Nicolas D; Zoller B; Tidin O; Naef F
    Methods; 2015 Sep; 85():3-11. PubMed ID: 25934263
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automated analysis of time-lapse fluorescence microscopy images: from live cell images to intracellular foci.
    Dzyubachyk O; Essers J; van Cappellen WA; Baldeyron C; Inagaki A; Niessen WJ; Meijering E
    Bioinformatics; 2010 Oct; 26(19):2424-30. PubMed ID: 20702399
    [TBL] [Abstract][Full Text] [Related]  

  • 15. CellProfiler Tracer: exploring and validating high-throughput, time-lapse microscopy image data.
    Bray MA; Carpenter AE
    BMC Bioinformatics; 2015 Nov; 16():368. PubMed ID: 26537300
    [TBL] [Abstract][Full Text] [Related]  

  • 16. FluoroCellTrack: An algorithm for automated analysis of high-throughput droplet microfluidic data.
    Vaithiyanathan M; Safa N; Melvin AT
    PLoS One; 2019; 14(5):e0215337. PubMed ID: 31042738
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Isolating live cells after high-throughput, long-term, time-lapse microscopy.
    Luro S; Potvin-Trottier L; Okumus B; Paulsson J
    Nat Methods; 2020 Jan; 17(1):93-100. PubMed ID: 31768062
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automated tracking in live-cell time-lapse movies.
    Youssef S; Gude S; Rädler JO
    Integr Biol (Camb); 2011 Nov; 3(11):1095-101. PubMed ID: 21959912
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Analysis of in vivo single cell behavior by high throughput, human-in-the-loop segmentation of three-dimensional images.
    Chiang M; Hallman S; Cinquin A; de Mochel NR; Paz A; Kawauchi S; Calof AL; Cho KW; Fowlkes CC; Cinquin O
    BMC Bioinformatics; 2015 Nov; 16():397. PubMed ID: 26607933
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A novel tracking and analysis system for time-lapse cell imaging of Saccharomyces cerevisiae.
    Kanada F; Ogino Y; Yoshida T; Oki M
    Genes Genet Syst; 2020 Jul; 95(2):75-83. PubMed ID: 32249245
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.