Medyukhina A - Search Results

1

Towards automated segmentation of cells and cell nuclei in nonlinear optical microscopy.

Medyukhina A, Meyer T, Schmitt M, Romeike BF, Dietzek B, Popp J. Medyukhina A, et al. J Biophotonics. 2012 Nov;5(11-12):878-88. doi: 10.1002/jbio.201200096. Epub 2012 Jul 19. J Biophotonics. 2012. PMID: 22811013

2

Automated classification of healthy and keloidal collagen patterns based on processing of SHG images of human skin.

Medyukhina A, Vogler N, Latka I, Kemper S, Böhm M, Dietzek B, Popp J. Medyukhina A, et al. J Biophotonics. 2011 Sep;4(9):627-36. doi: 10.1002/jbio.201100028. Epub 2011 May 19. J Biophotonics. 2011. PMID: 21595044

3

Interpreting CARS images of tissue within the C-H-stretching region.

Meyer T, Bergner N, Medyukhina A, Dietzek B, Krafft C, Romeike BF, Reichart R, Kalff R, Popp J. Meyer T, et al. Among authors: medyukhina a. J Biophotonics. 2012 Oct;5(10):729-33. doi: 10.1002/jbio.201200104. Epub 2012 Jul 20. J Biophotonics. 2012. PMID: 22815249

4

Automated seeding-based nuclei segmentation in nonlinear optical microscopy.

Medyukhina A, Meyer T, Heuke S, Vogler N, Dietzek B, Popp J. Medyukhina A, et al. Appl Opt. 2013 Oct 1;52(28):6979-94. doi: 10.1364/AO.52.006979. Appl Opt. 2013. PMID: 24085213

5

Texture analysis and classification in coherent anti-Stokes Raman scattering (CARS) microscopy images for automated detection of skin cancer.

Legesse FB, Medyukhina A, Heuke S, Popp J. Legesse FB, et al. Among authors: medyukhina a. Comput Med Imaging Graph. 2015 Jul;43:36-43. doi: 10.1016/j.compmedimag.2015.02.010. Epub 2015 Mar 7. Comput Med Imaging Graph. 2015. PMID: 25797604

6

Hyperspectral unmixing of Raman micro-images for assessment of morphological and chemical parameters in non-dried brain tumor specimens.

Bergner N, Medyukhina A, Geiger KD, Kirsch M, Schackert G, Krafft C, Popp J. Bergner N, et al. Among authors: medyukhina a. Anal Bioanal Chem. 2013 Nov;405(27):8719-28. doi: 10.1007/s00216-013-7257-7. Epub 2013 Aug 11. Anal Bioanal Chem. 2013. PMID: 23934397

7

DeconvTest: Simulation framework for quantifying errors and selecting optimal parameters of image deconvolution.

Medyukhina A, Figge MT. Medyukhina A, et al. J Biophotonics. 2020 Apr;13(4):e201960079. doi: 10.1002/jbio.201960079. Epub 2020 Feb 3. J Biophotonics. 2020. PMID: 31957214

8

Enhanced segmentation of label-free cells for automated migration and interaction tracking.

Belyaev I, Praetorius JP, Medyukhina A, Figge MT. Belyaev I, et al. Among authors: medyukhina a. Cytometry A. 2021 Dec;99(12):1218-1229. doi: 10.1002/cyto.a.24466. Epub 2021 Jun 10. Cytometry A. 2021. PMID: 34060210 Free article.

9

Automated tracking of label-free cells with enhanced recognition of whole tracks.

Al-Zaben N, Medyukhina A, Dietrich S, Marolda A, Hünniger K, Kurzai O, Figge MT. Al-Zaben N, et al. Among authors: medyukhina a. Sci Rep. 2019 Mar 1;9(1):3317. doi: 10.1038/s41598-019-39725-x. Sci Rep. 2019. PMID: 30824740 Free PMC article.

10

Untangling cell tracks: Quantifying cell migration by time lapse image data analysis.

Svensson CM, Medyukhina A, Belyaev I, Al-Zaben N, Figge MT. Svensson CM, et al. Among authors: medyukhina a. Cytometry A. 2018 Mar;93(3):357-370. doi: 10.1002/cyto.a.23249. Epub 2017 Oct 4. Cytometry A. 2018. PMID: 28976646 Free article. Review.

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