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Items: 1 to 20 of 414

1.

Bright field microscopy as an alternative to whole cell fluorescence in automated analysis of macrophage images.

Selinummi J, Ruusuvuori P, Podolsky I, Ozinsky A, Gold E, Yli-Harja O, Aderem A, Shmulevich I.

PLoS One. 2009 Oct 22;4(10):e7497. doi: 10.1371/journal.pone.0007497.

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

3.

Automated analysis and classification of infected macrophages using bright-field amplitude contrast data.

Adiga U, Taylor D, Bell B, Ponomareva L, Kanzlemar S, Kramer R, Saldanha R, Nelson S, Lamkin TJ.

J Biomol Screen. 2012 Mar;17(3):401-8. doi: 10.1177/1087057111426902. Epub 2011 Nov 4.

PMID:
22058111
4.

Enhancing automated micrograph-based evaluation of LPS-stimulated macrophage spreading.

Held C, Wenzel J, Wiesmann V, Palmisano R, Lang R, Wittenberg T.

Cytometry A. 2013 Apr;83(4):409-18. doi: 10.1002/cyto.a.22248. Epub 2013 Jan 10.

5.

Cell motility dynamics: a novel segmentation algorithm to quantify multi-cellular bright field microscopy images.

Zaritsky A, Natan S, Horev J, Hecht I, Wolf L, Ben-Jacob E, Tsarfaty I.

PLoS One. 2011;6(11):e27593. doi: 10.1371/journal.pone.0027593. Epub 2011 Nov 9.

6.

High content image analysis for human H4 neuroglioma cells exposed to CuO nanoparticles.

Li F, Zhou X, Zhu J, Ma J, Huang X, Wong ST.

BMC Biotechnol. 2007 Oct 9;7:66.

7.

Learning to detect cells using non-overlapping extremal regions.

Arteta C, Lempitsky V, Noble JA, Zisserman A.

Med Image Comput Comput Assist Interv. 2012;15(Pt 1):348-56.

PMID:
23285570
8.

Fast globally optimal segmentation of cells in fluorescence microscopy images.

Bergeest JP, Rohr K.

Med Image Comput Comput Assist Interv. 2011;14(Pt 1):645-52.

PMID:
22003673
9.

Computational framework for simulating fluorescence microscope images with cell populations.

Lehmussola A, Ruusuvuori P, Selinummi J, Huttunen H, Yli-Harja O.

IEEE Trans Med Imaging. 2007 Jul;26(7):1010-6.

PMID:
17649914
10.

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.

11.

Automated classification and visualization of fluorescent live cell microscopy images.

Urish KL, Deasy BM, Huard J.

J Microsc. 2013 Mar;249(3):206-14. doi: 10.1111/jmi.12010. Epub 2013 Jan 16.

12.

Counting unstained, confluent cells by modified bright-field microscopy.

Drey LL, Graber MC, Bieschke J.

Biotechniques. 2013 Jul;55(1):28-33. doi: 10.2144/000114056.

13.

Comparison of parameter-adapted segmentation methods for fluorescence micrographs.

Held C, Palmisano R, Häberle L, Hensel M, Wittenberg T.

Cytometry A. 2011 Nov;79(11):933-45. doi: 10.1002/cyto.a.21122. Epub 2011 Oct 14.

14.

An excitation wavelength-scanning spectral imaging system for preclinical imaging.

Leavesley S, Jiang Y, Patsekin V, Rajwa B, Robinson JP.

Rev Sci Instrum. 2008 Feb;79(2 Pt 1):023707. doi: 10.1063/1.2885043.

PMID:
18315305
15.

Rational variety mapping for contrast-enhanced nonlinear unsupervised segmentation of multispectral images of unstained specimen.

Kopriva I, Hadžija M, Popović Hadžija M, Korolija M, Cichocki A.

Am J Pathol. 2011 Aug;179(2):547-54. doi: 10.1016/j.ajpath.2011.05.010. Epub 2011 Jun 25.

16.

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. doi: 10.1109/TMI.2010.2048253. Epub 2010 Jun 3.

PMID:
20525532
17.

Particle filtering for multiple object tracking in dynamic fluorescence microscopy images: application to microtubule growth analysis.

Smal I, Draegestein K, Galjart N, Niessen W, Meijering E.

IEEE Trans Med Imaging. 2008 Jun;27(6):789-804. doi: 10.1109/TMI.2008.916964.

PMID:
18541486
18.

Image restoration for fluorescence lifetime imaging microscopy (FLIM).

Sud D, Mycek MA.

Opt Express. 2008 Nov 10;16(23):19192-200.

PMID:
19582011
19.

Automated analysis of the mitotic phases of human cells in 3D fluorescence microscopy image sequences.

Harder N, Mora-Bermúdez F, Godinez WJ, Ellenberg J, Eils R, Rohr K.

Med Image Comput Comput Assist Interv. 2006;9(Pt 1):840-8.

PMID:
17354969
20.

Using multimodal information for the segmentation of fluorescent micrographs with application to virology and microbiology.

Held C, Wenzel J, Webel R, Marschall M, Lang R, Palmisano R, Wittenberg T.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:6487-90. doi: 10.1109/IEMBS.2011.6091601.

PMID:
22255824
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