269 related articles for article (PubMed ID: 25934263)
1. 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]
2. Automatic detection and analysis of cell motility in phase-contrast time-lapse images using a combination of maximally stable extremal regions and Kalman filter approaches.
Kaakinen M; Huttunen S; Paavolainen L; Marjomäki V; Heikkilä J; Eklund L
J Microsc; 2014 Jan; 253(1):65-78. PubMed ID: 24279418
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Segmenting time-lapse phase contrast images of adjacent NIH 3T3 cells.
Chalfoun J; Kociolek M; Dima A; Halter M; Cardone A; Peskin A; Bajcsy P; Brady M
J Microsc; 2013 Jan; 249(1):41-52. PubMed ID: 23126432
[TBL] [Abstract][Full Text] [Related]
5. A software solution for recording circadian oscillator features in time-lapse live cell microscopy.
Sage D; Unser M; Salmon P; Dibner C
Cell Div; 2010 Jul; 5():17. PubMed ID: 20604925
[TBL] [Abstract][Full Text] [Related]
6. Live-cell time-lapse imaging and single-cell tracking of in vitro cultured neural stem cells - Tools for analyzing dynamics of cell cycle, migration, and lineage selection.
Piltti KM; Cummings BJ; Carta K; Manughian-Peter A; Worne CL; Singh K; Ong D; Maksymyuk Y; Khine M; Anderson AJ
Methods; 2018 Jan; 133():81-90. PubMed ID: 29050826
[TBL] [Abstract][Full Text] [Related]
7. Structure of silent transcription intervals and noise characteristics of mammalian genes.
Zoller B; Nicolas D; Molina N; Naef F
Mol Syst Biol; 2015 Jul; 11(7):823. PubMed ID: 26215071
[TBL] [Abstract][Full Text] [Related]
8. Automated profiling of individual cell-cell interactions from high-throughput time-lapse imaging microscopy in nanowell grids (TIMING).
Merouane A; Rey-Villamizar N; Lu Y; Liadi I; Romain G; Lu J; Singh H; Cooper LJ; Varadarajan N; Roysam B
Bioinformatics; 2015 Oct; 31(19):3189-97. PubMed ID: 26059718
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. DeepSea is an efficient deep-learning model for single-cell segmentation and tracking in time-lapse microscopy.
Zargari A; Lodewijk GA; Mashhadi N; Cook N; Neudorf CW; Araghbidikashani K; Hays R; Kozuki S; Rubio S; Hrabeta-Robinson E; Brooks A; Hinck L; Shariati SA
Cell Rep Methods; 2023 Jun; 3(6):100500. PubMed ID: 37426758
[TBL] [Abstract][Full Text] [Related]
11. STrack: A Tool to Simply Track Bacterial Cells in Microscopy Time-Lapse Images.
Todorov H; Miguel Trabajo T; van der Meer JR
mSphere; 2023 Apr; 8(2):e0065822. PubMed ID: 36939355
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. 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]
15. Time-Lapse Video Microscopy and Single Cell Tracking to Study Neural Cell Behavior In Vitro.
Paniagua-Herranz L; Gómez-Villafuertes R; de Agustín-Durán D; Gascón S; Pérez-Sen R; Delicado EG; Miras-Portugal MT; Ortega F
Methods Mol Biol; 2020; 2150():183-194. PubMed ID: 31020634
[TBL] [Abstract][Full Text] [Related]
16. Automatic Quantitative Segmentation of Myotubes Reveals Single-cell Dynamics of S6 Kinase Activation.
Inoue H; Kunida K; Matsuda N; Hoshino D; Wada T; Imamura H; Noji H; Kuroda S
Cell Struct Funct; 2018 Aug; 43(2):153-169. PubMed ID: 30047513
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Automated analysis of time-lapse imaging of nuclear translocation by retrospective strategy and its application to STAT1 in HeLa cells.
Han F; Liang P; Wang F; Zeng L; Zhang B
PLoS One; 2011; 6(11):e27454. PubMed ID: 22125613
[TBL] [Abstract][Full Text] [Related]
19. Automatic segmentation of time-lapse microscopy images depicting a live Dharma embryo.
Zacharia E; Bondesson M; Riu A; Ducharme NA; Gustafsson JÅ; Kakadiaris IA
Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():8082-5. PubMed ID: 22256217
[TBL] [Abstract][Full Text] [Related]
20. A novel method for quantitative measurements of gene expression in single living cells.
Mandic A; Strebinger D; Regali C; Phillips NE; Suter DM
Methods; 2017 May; 120():65-75. PubMed ID: 28456689
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
