206 related articles for article (PubMed ID: 35041653)
1. 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]
2. 3DeeCellTracker, a deep learning-based pipeline for segmenting and tracking cells in 3D time lapse images.
Wen C; Miura T; Voleti V; Yamaguchi K; Tsutsumi M; Yamamoto K; Otomo K; Fujie Y; Teramoto T; Ishihara T; Aoki K; Nemoto T; Hillman EM; Kimura KD
Elife; 2021 Mar; 10():. PubMed ID: 33781383
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. A convolutional neural network for segmentation of yeast cells without manual training annotations.
Kruitbosch HT; Mzayek Y; Omlor S; Guerra P; Milias-Argeitis A
Bioinformatics; 2022 Feb; 38(5):1427-1433. PubMed ID: 34893817
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. 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]
8. 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]
9. 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]
10. Acquiring fluorescence time-lapse movies of budding yeast and analyzing single-cell dynamics using GRAFTS.
Zopf CJ; Maheshri N
J Vis Exp; 2013 Jul; (77):e50456. PubMed ID: 23892428
[TBL] [Abstract][Full Text] [Related]
11. LIM Tracker: a software package for cell tracking and analysis with advanced interactivity.
Aragaki H; Ogoh K; Kondo Y; Aoki K
Sci Rep; 2022 Feb; 12(1):2702. PubMed ID: 35177675
[TBL] [Abstract][Full Text] [Related]
12. SC-Track: a robust cell-tracking algorithm for generating accurate single-cell lineages from diverse cell segmentations.
Li C; Xie SS; Wang J; Sharvia S; Chan KY
Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38704671
[TBL] [Abstract][Full Text] [Related]
13. Yeast cell segmentation in microstructured environments with deep learning.
Prangemeier T; Wildner C; Françani AO; Reich C; Koeppl H
Biosystems; 2022 Jan; 211():104557. PubMed ID: 34634444
[TBL] [Abstract][Full Text] [Related]
14. CytoCensus, mapping cell identity and division in tissues and organs using machine learning.
Hailstone M; Waithe D; Samuels TJ; Yang L; Costello I; Arava Y; Robertson E; Parton RM; Davis I
Elife; 2020 May; 9():. PubMed ID: 32423529
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. 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]
18. Image analysis driven single-cell analytics for systems microbiology.
Balomenos AD; Tsakanikas P; Aspridou Z; Tampakaki AP; Koutsoumanis KP; Manolakos ES
BMC Syst Biol; 2017 Apr; 11(1):43. PubMed ID: 28376782
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]
