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Items: 1 to 20 of 63

1.

Computational reconstruction of cell and tissue surfaces for modeling and data analysis.

Klauschen F, Qi H, Egen JG, Germain RN, Meier-Schellersheim M.

Nat Protoc. 2009;4(7):1006-12. doi: 10.1038/nprot.2009.94. Epub 2009 Jun 4.

2.

Computational imaging in cell biology.

Eils R, Athale C.

J Cell Biol. 2003 May 12;161(3):477-81. Review.

3.

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 4;14:297. doi: 10.1186/1471-2105-14-297.

4.

Image-based quantification and mathematical modeling of spatial heterogeneity in ESC colonies.

Herberg M, Zerjatke T, de Back W, Glauche I, Roeder I.

Cytometry A. 2015 Jun;87(6):481-90. doi: 10.1002/cyto.a.22598. Epub 2015 Jan 20.

5.

Validation of image processing tools for 3-D fluorescence microscopy.

Dieterlen A, Xu C, Gramain MP, Haeberlé O, Colicchio B, Cudel C, Jacquey S, Ginglinger E, Jung G, Jeandidier E.

C R Biol. 2002 Apr;325(4):327-34.

PMID:
12161912
6.

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 31;(66):e4233. doi: 10.3791/4233.

7.

Basic image analysis and manipulation in ImageJ.

Hartig SM.

Curr Protoc Mol Biol. 2013;Chapter 14:Unit14.15. doi: 10.1002/0471142727.mb1415s102.

PMID:
23547012
8.

High-resolution solid modeling of biological samples imaged with 3D fluorescence microscopy.

Ferko MC, Patterson BW, Butler PJ.

Microsc Res Tech. 2006 Aug;69(8):648-55.

9.

Segmentation and morphometric analysis of cells from fluorescence microscopy images of cytoskeletons.

Ujihara Y, Nakamura M, Miyazaki H, Wada S.

Comput Math Methods Med. 2013;2013:381356. doi: 10.1155/2013/381356. Epub 2013 May 12.

10.

Three-dimensional reconstruction of the guinea pig inner ear, comparison of OPFOS and light microscopy, applications of 3D reconstruction.

Hofman R, Segenhout JM, Wit HP.

J Microsc. 2009 Feb;233(2):251-7. doi: 10.1111/j.1365-2818.2009.03115.x.

11.

Using CellX to quantify intracellular events.

Mayer C, Dimopoulos S, Rudolf F, Stelling J.

Curr Protoc Mol Biol. 2013;Chapter 14:Unit 14.22.. doi: 10.1002/0471142727.mb1422s101.

PMID:
23288460
12.

STSE: Spatio-Temporal Simulation Environment Dedicated to Biology.

Stoma S, Fröhlich M, Gerber S, Klipp E.

BMC Bioinformatics. 2011 Apr 28;12:126. doi: 10.1186/1471-2105-12-126.

13.

Statistical analysis of molecule colocalization in bioimaging.

Lagache T, Sauvonnet N, Danglot L, Olivo-Marin JC.

Cytometry A. 2015 Jun;87(6):568-79. doi: 10.1002/cyto.a.22629. Epub 2015 Jan 20. Review.

14.

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 3;15:328. doi: 10.1186/1471-2105-15-328.

15.

Using Cell-ID 1.4 with R for microscope-based cytometry.

Bush A, Chernomoretz A, Yu R, Gordon A, Colman-Lerner A.

Curr Protoc Mol Biol. 2012 Oct;Chapter 14:Unit 14.18. doi: 10.1002/0471142727.mb1418s100.

16.

Accurate cell segmentation in microscopy images using membrane patterns.

Dimopoulos S, Mayer CE, Rudolf F, Stelling J.

Bioinformatics. 2014 Sep 15;30(18):2644-51. doi: 10.1093/bioinformatics/btu302. Epub 2014 May 21.

PMID:
24849580
17.
18.

Toward the virtual cell: automated approaches to building models of subcellular organization "learned" from microscopy images.

Buck TE, Li J, Rohde GK, Murphy RF.

Bioessays. 2012 Sep;34(9):791-9. doi: 10.1002/bies.201200032. Epub 2012 Jul 10. Review.

19.

CellCognition: time-resolved phenotype annotation in high-throughput live cell imaging.

Held M, Schmitz MH, Fischer B, Walter T, Neumann B, Olma MH, Peter M, Ellenberg J, Gerlich DW.

Nat Methods. 2010 Sep;7(9):747-54. doi: 10.1038/nmeth.1486. Epub 2010 Aug 8.

PMID:
20693996
20.

MR image reconstruction based on framelets and nonlocal total variation using split Bregman method.

Gopi VP, Palanisamy P, Wahid KA, Babyn P.

Int J Comput Assist Radiol Surg. 2014 May;9(3):459-72. doi: 10.1007/s11548-013-0938-z. Epub 2013 Sep 8.

PMID:
24014321

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