151 related articles for article (PubMed ID: 32829691)
1. Spatial protein analysis in developing tissues: a sampling-based image processing approach.
Leonavicius K; Royer C; Miranda AMA; Tyser RCV; Kip A; Srinivas S
Philos Trans R Soc Lond B Biol Sci; 2020 Oct; 375(1809):20190560. PubMed ID: 32829691
[TBL] [Abstract][Full Text] [Related]
2. Automatic three-dimensional segmentation of mouse embryonic stem cell nuclei by utilising multiple channels of confocal fluorescence images.
Chang YH; Yokota H; Abe K; Tasi MD; Chu SL
J Microsc; 2021 Jan; 281(1):57-75. PubMed ID: 32720710
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Bi-channel image registration and deep-learning segmentation (BIRDS) for efficient, versatile 3D mapping of mouse brain.
Wang X; Zeng W; Yang X; Zhang Y; Fang C; Zeng S; Han Y; Fei P
Elife; 2021 Jan; 10():. PubMed ID: 33459255
[TBL] [Abstract][Full Text] [Related]
5. Robust and automated three-dimensional segmentation of densely packed cell nuclei in different biological specimens with Lines-of-Sight decomposition.
Mathew B; Schmitz A; Muñoz-Descalzo S; Ansari N; Pampaloni F; Stelzer EH; Fischer SC
BMC Bioinformatics; 2015 Jun; 16():187. PubMed ID: 26049713
[TBL] [Abstract][Full Text] [Related]
6. Acto3D: an open-source user-friendly volume rendering software for high-resolution 3D fluorescence imaging in biology.
Takeshita N; Sakaki S; Saba R; Inoue S; Nishikawa K; Ueyama A; Nakajima Y; Matsuo K; Shigeta M; Kobayashi D; Yamazaki H; Yamada K; Iehara T; Yashiro K
Development; 2024 Apr; 151(8):. PubMed ID: 38657972
[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. 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]
9. 3D convolutional neural networks-based segmentation to acquire quantitative criteria of the nucleus during mouse embryogenesis.
Tokuoka Y; Yamada TG; Mashiko D; Ikeda Z; Hiroi NF; Kobayashi TJ; Yamagata K; Funahashi A
NPJ Syst Biol Appl; 2020 Oct; 6(1):32. PubMed ID: 33082352
[TBL] [Abstract][Full Text] [Related]
10. Macromolecular crowding: chemistry and physics meet biology (Ascona, Switzerland, 10-14 June 2012).
Foffi G; Pastore A; Piazza F; Temussi PA
Phys Biol; 2013 Aug; 10(4):040301. PubMed ID: 23912807
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Real-Time Three-Dimensional Cell Segmentation in Large-Scale Microscopy Data of Developing Embryos.
Stegmaier J; Amat F; Lemon WC; McDole K; Wan Y; Teodoro G; Mikut R; Keller PJ
Dev Cell; 2016 Jan; 36(2):225-40. PubMed ID: 26812020
[TBL] [Abstract][Full Text] [Related]
13. Extracting 3D cell parameters from dense tissue environments: application to the development of the mouse heart.
Pop S; Dufour AC; Le Garrec JF; Ragni CV; Cimper C; Meilhac SM; Olivo-Marin JC
Bioinformatics; 2013 Mar; 29(6):772-9. PubMed ID: 23337749
[TBL] [Abstract][Full Text] [Related]
14. An integrated image analysis platform to quantify signal transduction in single cells.
Pelet S; Dechant R; Lee SS; van Drogen F; Peter M
Integr Biol (Camb); 2012 Oct; 4(10):1274-82. PubMed ID: 22976484
[TBL] [Abstract][Full Text] [Related]
15. GIANI - open-source software for automated analysis of 3D microscopy images.
Barry DJ; Gerri C; Bell DM; D'Antuono R; Niakan KK
J Cell Sci; 2022 May; 135(10):. PubMed ID: 35502739
[TBL] [Abstract][Full Text] [Related]
16. A versatile image analysis platform for three-dimensional nuclear reconstruction.
Williams JF; Mochrie SGJ; King MC
Methods; 2019 Mar; 157():15-27. PubMed ID: 30359725
[TBL] [Abstract][Full Text] [Related]
17. Cell nuclei and cytoplasm joint segmentation using the sliding band filter.
Quelhas P; Marcuzzo M; Mendonça AM; Campilho A
IEEE Trans Med Imaging; 2010 Aug; 29(8):1463-73. PubMed ID: 20525532
[TBL] [Abstract][Full Text] [Related]
18. PartSeg: a tool for quantitative feature extraction from 3D microscopy images for dummies.
Bokota G; Sroka J; Basu S; Das N; Trzaskoma P; Yushkevich Y; Grabowska A; Magalska A; Plewczynski D
BMC Bioinformatics; 2021 Feb; 22(1):72. PubMed ID: 33596823
[TBL] [Abstract][Full Text] [Related]
19. Segmentation-Less, Automated, Vascular Vectorization.
Mihelic SA; Sikora WA; Hassan AM; Williamson MR; Jones TA; Dunn AK
PLoS Comput Biol; 2021 Oct; 17(10):e1009451. PubMed ID: 34624013
[TBL] [Abstract][Full Text] [Related]
20. Segmentation of fluorescence microscopy images for quantitative analysis of cell nuclear architecture.
Russell RA; Adams NM; Stephens DA; Batty E; Jensen K; Freemont PS
Biophys J; 2009 Apr; 96(8):3379-89. PubMed ID: 19383481
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
