361 related articles for article (PubMed ID: 26607933)
1. 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]
2. An automatic method for robust and fast cell detection in bright field images from high-throughput microscopy.
Buggenthin F; Marr C; Schwarzfischer M; Hoppe PS; Hilsenbeck O; Schroeder T; Theis FJ
BMC Bioinformatics; 2013 Oct; 14():297. PubMed ID: 24090363
[TBL] [Abstract][Full Text] [Related]
3. A method for the evaluation of thousands of automated 3D stem cell segmentations.
Bajcsy P; Simon M; Florczyk SJ; Simon CG; Juba D; Brady MC
J Microsc; 2015 Dec; 260(3):363-76. PubMed ID: 26268699
[TBL] [Abstract][Full Text] [Related]
4. An analytical tool that quantifies cellular morphology changes from three-dimensional fluorescence images.
Haass-Koffler CL; Naeemuddin M; Bartlett SE
J Vis Exp; 2012 Aug; (66):e4233. PubMed ID: 22951512
[TBL] [Abstract][Full Text] [Related]
5. ShapeMetrics: A 3D Cell Segmentation Pipeline for Single-Cell Spatial Morphometric Analysis.
Pajanoja C; Kerosuo L
Methods Mol Biol; 2024; 2767():263-273. PubMed ID: 37219813
[TBL] [Abstract][Full Text] [Related]
6. Establishment of a morphological atlas of the Caenorhabditis elegans embryo using deep-learning-based 4D segmentation.
Cao J; Guan G; Ho VWS; Wong MK; Chan LY; Tang C; Zhao Z; Yan H
Nat Commun; 2020 Dec; 11(1):6254. PubMed ID: 33288755
[TBL] [Abstract][Full Text] [Related]
7. Visualization and correction of automated segmentation, tracking and lineaging from 5-D stem cell image sequences.
Wait E; Winter M; Bjornsson C; Kokovay E; Wang Y; Goderie S; Temple S; Cohen AR
BMC Bioinformatics; 2014 Oct; 15(1):328. PubMed ID: 25281197
[TBL] [Abstract][Full Text] [Related]
8. CellSNAP: a fast, accurate algorithm for 3D cell segmentation in quantitative phase imaging.
Raj P; Paidi SK; Conway L; Chatterjee A; Barman I
J Biomed Opt; 2024 Jun; 29(Suppl 2):S22706. PubMed ID: 38638450
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Aro: a machine learning approach to identifying single molecules and estimating classification error in fluorescence microscopy images.
Wu AC; Rifkin SA
BMC Bioinformatics; 2015 Mar; 16():102. PubMed ID: 25880543
[TBL] [Abstract][Full Text] [Related]
11. A generic classification-based method for segmentation of nuclei in 3D images of early embryos.
Gul-Mohammed J; Arganda-Carreras I; Andrey P; Galy V; Boudier T
BMC Bioinformatics; 2014 Jan; 15():9. PubMed ID: 24423252
[TBL] [Abstract][Full Text] [Related]
12. A rapid and efficient 2D/3D nuclear segmentation method for analysis of early mouse embryo and stem cell image data.
Lou X; Kang M; Xenopoulos P; Muñoz-Descalzo S; Hadjantonakis AK
Stem Cell Reports; 2014 Mar; 2(3):382-97. PubMed ID: 24672759
[TBL] [Abstract][Full Text] [Related]
13. WormGUIDES: an interactive single cell developmental atlas and tool for collaborative multidimensional data exploration.
Santella A; Catena R; Kovacevic I; Shah P; Yu Z; Marquina-Solis J; Kumar A; Wu Y; Schaff J; Colón-Ramos D; Shroff H; Mohler WA; Bao Z
BMC Bioinformatics; 2015 Jun; 16(1):189. PubMed ID: 26051157
[TBL] [Abstract][Full Text] [Related]
14. Segmentation and detection of fluorescent 3D spots.
Ram S; Rodríguez JJ; Bosco G
Cytometry A; 2012 Mar; 81(3):198-212. PubMed ID: 22354758
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Biologically constrained optimization based cell membrane segmentation in C. elegans embryos.
Azuma Y; Onami S
BMC Bioinformatics; 2017 Jun; 18(1):307. PubMed ID: 28629355
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Chrysalis: A New Method for High-Throughput Histo-Cytometry Analysis of Images and Movies.
Kotov DI; Pengo T; Mitchell JS; Gastinger MJ; Jenkins MK
J Immunol; 2019 Jan; 202(1):300-308. PubMed ID: 30510065
[TBL] [Abstract][Full Text] [Related]
19. Automated segmentation and recognition of C. elegans whole-body cells.
Li Y; Lai C; Wang M; Wu J; Li Y; Peng H; Qu L
Bioinformatics; 2024 May; 40(5):. PubMed ID: 38775410
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
