메뉴 건너뛰기




Volumn 246, Issue 2, 2012, Pages 202-212

Automatic cell counting in vivo in the larval nervous system of Drosophila

Author keywords

Cell number; Classification; Confocal microscopy; Drosophila; Fluorescence microscopy; Glia; Image processing; Larva

Indexed keywords

BIOLOGICAL ORGANS; CELL CULTURE; CONFOCAL MICROSCOPY; FLUORESCENCE MICROSCOPY; IMAGE CLASSIFICATION; OPTICAL DATA PROCESSING; RENDERING (COMPUTER GRAPHICS);

EID: 84859621301     PISSN: 00222720     EISSN: 13652818     Source Type: Journal    
DOI: 10.1111/j.1365-2818.2012.03608.x     Document Type: Article
Times cited : (15)

References (25)
  • 1
    • 84890491526 scopus 로고    scopus 로고
    • Automatic segmentation of overlapping nuclei with high background variation using robust estimation and flexible contour models
    • In:, Mantova, Italy
    • Clocksin, W.F. (2003) Automatic segmentation of overlapping nuclei with high background variation using robust estimation and flexible contour models. In: Proc. 12th Int. Conf. Image Anal Process, Mantova, Italy, pp. 682-687.
    • (2003) Proc. 12th Int. Conf. Image Anal Process , pp. 682-687
    • Clocksin, W.F.1
  • 2
    • 0036650287 scopus 로고    scopus 로고
    • Automatic segmentation and skeletonization of neurons from confocal microscopy images based on the 3-D wavelet transform
    • Dima, A., Scholz, M. & Obermayer, K. (2002) Automatic segmentation and skeletonization of neurons from confocal microscopy images based on the 3-D wavelet transform. IEEE Trans. Image Process. 11, 790-801.
    • (2002) IEEE Trans. Image Process , vol.11 , pp. 790-801
    • Dima, A.1    Scholz, M.2    Obermayer, K.3
  • 3
    • 33747148833 scopus 로고    scopus 로고
    • Automatic identification of Mycobacterium tuberculosis by Gaussian mixture models
    • Forero, M.G., Cristobal, G. & Desco, M. (2006) Automatic identification of Mycobacterium tuberculosis by Gaussian mixture models. J. Microsc. 223, 120-132.
    • (2006) J. Microsc , vol.223 , pp. 120-132
    • Forero, M.G.1    Cristobal, G.2    Desco, M.3
  • 4
    • 67649803491 scopus 로고    scopus 로고
    • DeadEasy caspase: automatic counting of apoptotic cells in Drosophila
    • Forero, M.G., Pennack, J.A., Learte, A.R. & Hidalgo, A. (2009) DeadEasy caspase: automatic counting of apoptotic cells in Drosophila. PLoS ONE 4, e5441.
    • (2009) PLoS ONE , vol.4
    • Forero, M.G.1    Pennack, J.A.2    Learte, A.R.3    Hidalgo, A.4
  • 5
    • 77956281624 scopus 로고    scopus 로고
    • DeadEasy Mito-Glia: automatic counting of mitotic cells and glial cells in Drosophila
    • Forero, M.G., Learte, A.R., Cartwright, S. & Hidalgo, A. (2010a) DeadEasy Mito-Glia: automatic counting of mitotic cells and glial cells in Drosophila. PLoS ONE 5, e10557.
    • (2010) PLoS ONE , vol.5
    • Forero, M.G.1    Learte, A.R.2    Cartwright, S.3    Hidalgo, A.4
  • 6
    • 77949863538 scopus 로고    scopus 로고
    • DeadEasy neurons: automatic counting of HB9 neuronal nuclei in Drosophila
    • Forero, M.G., Pennack, J.A. & Hidalgo, A. (2010b) DeadEasy neurons: automatic counting of HB9 neuronal nuclei in Drosophila. Cytom. A 77, 371-378.
    • (2010) Cytom. A , vol.77 , pp. 371-378
    • Forero, M.G.1    Pennack, J.A.2    Hidalgo, A.3
  • 7
    • 61349126485 scopus 로고    scopus 로고
    • Four-color theorem and level set methods for watershed segmentation
    • Hodneland, E., Tai, X.-C. & Gerde, H.-H. (2009) Four-color theorem and level set methods for watershed segmentation. Int. J. Comput. Vis. 82, 264-283.
    • (2009) Int. J. Comput. Vis , vol.82 , pp. 264-283
    • Hodneland, E.1    Tai, X.-C.2    Gerde, H.-H.3
  • 8
    • 84937655864 scopus 로고
    • Visual pattern recognition by moment's invariant
    • Hu, M. (1962) Visual pattern recognition by moment's invariant. IRE T. Inform. Theor. 8, 179-187.
    • (1962) IRE T. Inform. Theor , vol.8 , pp. 179-187
    • Hu, M.1
  • 9
    • 68349160341 scopus 로고    scopus 로고
    • Overlapping nuclei segmentation based on Bayesian networks and stepwise merging strategy
    • Jeong, M.R., Ko, B.C. & Nam, J.Y. (2009) Overlapping nuclei segmentation based on Bayesian networks and stepwise merging strategy. J. Microsc. 235, 188-198.
    • (2009) J. Microsc , vol.235 , pp. 188-198
    • Jeong, M.R.1    Ko, B.C.2    Nam, J.Y.3
  • 10
    • 60749112464 scopus 로고    scopus 로고
    • Neuronal programmed cell death induces glial cell division in the adult Drosophila brain
    • Kato, K., Awasaki, T. & Ito, K. (2009) Neuronal programmed cell death induces glial cell division in the adult Drosophila brain. Development 136, 51-59.
    • (2009) Development , vol.136 , pp. 51-59
    • Kato, K.1    Awasaki, T.2    Ito, K.3
  • 11
    • 80052317563 scopus 로고    scopus 로고
    • The glial regenerative response to central nervous system injury is enabled by Pros-Notch and Pros-NFkB feedback
    • Kato, K., Forero, M.G., Fenton, J.C. & Hidalgo, A. (2011) The glial regenerative response to central nervous system injury is enabled by Pros-Notch and Pros-NFkB feedback. PLoS Biol. 9, e1001133.
    • (2011) PLoS Biol. , vol.9
    • Kato, K.1    Forero, M.G.2    Fenton, J.C.3    Hidalgo, A.4
  • 12
    • 35948953980 scopus 로고    scopus 로고
    • 3D cell nuclei segmentation based on gradient flow tracking
    • Li, G., Liu, T., Tarokh, A. et al (2007) 3D cell nuclei segmentation based on gradient flow tracking. BMC Cell Biol. 8, 40.
    • (2007) BMC Cell Biol. , vol.8 , pp. 40
    • Li, G.1    Liu, T.2    Tarokh, A.3
  • 13
    • 46749125415 scopus 로고    scopus 로고
    • Segmentation of touching cell nuclei using gradient flow tracking
    • Li, G., Liu, T., Nie, J. et al (2008) Segmentation of touching cell nuclei using gradient flow tracking. J. Microsc. 231, 47-58.
    • (2008) J. Microsc , vol.231 , pp. 47-58
    • Li, G.1    Liu, T.2    Nie, J.3
  • 14
    • 0348134935 scopus 로고    scopus 로고
    • A hybrid 3D watershed algorithm incorporating gradient cues and object models for automatic segmentation of nuclei in confocal image stacks
    • Lin, G., Adiga, U., Olson, K., Guzowski, J.F., Barnes, C.A. & Roysam, B. (2003) A hybrid 3D watershed algorithm incorporating gradient cues and object models for automatic segmentation of nuclei in confocal image stacks. Cytom. A 56A, 23-36.
    • (2003) Cytom. A , vol.56 A , pp. 23-36
    • Lin, G.1    Adiga, U.2    Olson, K.3    Guzowski, J.F.4    Barnes, C.A.5    Roysam, B.6
  • 15
    • 0028134135 scopus 로고
    • Automatic detection of clustered, fluorescent-stained nuclei by digital image-based cytometry
    • Lockett, S.J. & Herman, B. (1994) Automatic detection of clustered, fluorescent-stained nuclei by digital image-based cytometry. Cytometry 17, 1-12.
    • (1994) Cytometry , vol.17 , pp. 1-12
    • Lockett, S.J.1    Herman, B.2
  • 18
    • 50549104043 scopus 로고    scopus 로고
    • Bioimage informatics: a new area of engineering biology
    • Peng, H. (2008) Bioimage informatics: a new area of engineering biology. Bioinformatics 24, 1827-1836.
    • (2008) Bioinformatics , vol.24 , pp. 1827-1836
    • Peng, H.1
  • 19
    • 33750816277 scopus 로고    scopus 로고
    • A decomposition scheme for 3D fuzzy objects based on fuzzy distance information
    • Svensson, S. (2007) A decomposition scheme for 3D fuzzy objects based on fuzzy distance information. Pattern. Recogn. Lett. 28, 224-232.
    • (2007) Pattern. Recogn. Lett , vol.28 , pp. 224-232
    • Svensson, S.1
  • 20
    • 0027576716 scopus 로고
    • Morphological grayscale reconstruction in image analysis: applications and efficient algorithms
    • Vincent, L. (1993) Morphological grayscale reconstruction in image analysis: applications and efficient algorithms. IEEE Trans. Image Process. 2, 176-201.
    • (1993) IEEE Trans. Image Process , vol.2 , pp. 176-201
    • Vincent, L.1
  • 21
    • 0026172104 scopus 로고
    • Watersheds in digital spaces: an efficient algorithm based on immersion simulations
    • Vincent, L. & Soille, P. (1991) Watersheds in digital spaces: an efficient algorithm based on immersion simulations. IEEE Trans. Pattern Anal. 13, 583-598.
    • (1991) IEEE Trans. Pattern Anal , vol.13 , pp. 583-598
    • Vincent, L.1    Soille, P.2
  • 24
    • 3042547731 scopus 로고    scopus 로고
    • Combining intensity, edge and shape information for 2D and 3D segmentation of cell nuclei in tissue sections
    • Wählby, C., Sintorn, I.M., Erlandsson, F., Borgefors, G. & Bengtsson, E. (2004) Combining intensity, edge and shape information for 2D and 3D segmentation of cell nuclei in tissue sections. J. Microsc. 215, 67-76.
    • (2004) J. Microsc , vol.215 , pp. 67-76
    • Wählby, C.1    Sintorn, I.M.2    Erlandsson, F.3    Borgefors, G.4    Bengtsson, E.5
  • 25
    • 65549100286 scopus 로고    scopus 로고
    • Quantitative neurite outgrowth measurement based on image segmentation with topological dependence
    • Yu, W., Lee, H.K., Hariharan, S., Bu, W. & Ahmed, S. (2009) Quantitative neurite outgrowth measurement based on image segmentation with topological dependence. Cytom. A 75A, 289-297.
    • (2009) Cytom. A , vol.75 A , pp. 289-297
    • Yu, W.1    Lee, H.K.2    Hariharan, S.3    Bu, W.4    Ahmed, S.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.