AUTOMATIC SEGMENTATION OF EMBRYONIC HEART IN TIME-LAPSE FLUORESCENCE MICROSCOPY IMAGE SEQUENCES

被引:0
|
作者
Kramer, P. [1 ]
Boto, F. [1 ]
Wald, D. [1 ]
Bessy, F. [1 ]
Paloc, C. [1 ]
Callol, C. [2 ]
Letamendia, A. [2 ]
Ibarbia, I. [2 ]
Holgado, O. [2 ]
Virto, J. M. [2 ]
机构
[1] Vicomtech, Paseo Mikeletegi 57, San Sebastian 20009, Spain
[2] Biobide, San Sebastian 20009, Spain
来源
BIOSIGNALS 2010: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON BIO-INSPIRED SYSTEMS AND SIGNAL PROCESSING | 2010年
关键词
Segmentation; Fluorescent microscopy images; Embryonic heart; ZEBRAFISH;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Embryos of animal models are becoming widely used to study cardiac development and genetics. However, the analysis of the embryonic heart is still mostly done manually. This is a very laborious and expensive task as each embryo has to be inspected visually by a biologist. We therefore propose to automatically segment the embryonic heart from high-speed fluorescence microscopy image sequences, allowing morphological and functional quantitative features of cardiac activity to be extracted. Several methods are presented and compared within a large range of images, varying in quality, acquisition parameters, and embryos position. Although manual control and visual assessment would still be necessary, the best of our methods has the potential to drastically reduce biologist workload by automating manual segmentation.
引用
收藏
页码:121 / 126
页数:6
相关论文
共 47 条
  • [31] A geodesic deformable model for automatic segmentation of image sequences applied to radiation therapy
    Bueno, G.
    Deniz, O.
    Salido, J.
    Carrascosa, C.
    Delgado, J. M.
    INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2011, 6 (03) : 341 - 350
  • [32] Acquiring Fluorescence Time-lapse Movies of Budding Yeast and Analyzing Single-cell Dynamics using GRAFTS
    Zopf, Christopher J.
    Maheshri, Narendra
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2013, (77):
  • [33] A computational 3D model for reconstruction of neural stem cells in bright-field time-lapse microscopy
    Degerman, J.
    Winterfors, E.
    Faijerson, J.
    Gustavsson, T.
    COMPUTATIONAL IMAGING V, 2007, 6498
  • [34] Visualization of Craniofacial Development in the sox10: kaede Transgenic Zebrafish Line Using Time-lapse Confocal Microscopy
    Gfrerer, Lisa
    Dougherty, Max
    Liao, Eric C.
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2013, (79): : e50525
  • [35] Stochastic Neural Networks for Automatic Cell Tracking in Microscopy Image Sequences of Bacterial Colonies
    Sarmadi, Sorena
    Winkle, James J.
    Alnahhas, Razan N.
    Bennett, Matthew R.
    Josic, Kresimir
    Mang, Andreas
    Azencott, Robert
    MATHEMATICAL AND COMPUTATIONAL APPLICATIONS, 2022, 27 (02)
  • [36] Isolated Random Forest Assisted Spatio-Temporal Ant Colony Evolutionary Algorithm for Cell Tracking in Time-Lapse Sequences
    Xu, Benlian
    Wu, Di
    Shi, Jian
    Cong, Jinliang
    Lu, Mingli
    Yang, Feng
    Nener, Brett
    IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2024, 28 (07) : 4157 - 4169
  • [37] A graph-mining algorithm for automatic detection and counting of embryonic stem cells in fluorescence microscopy images
    Faustino, Geisa M.
    Gattass, Marcelo
    de Lucena, Carlos J. P.
    Campos, Priscila B.
    Rehen, Stevens K.
    INTEGRATED COMPUTER-AIDED ENGINEERING, 2011, 18 (01) : 91 - 106
  • [38] Fully Automatic Registration and Segmentation of First-Pass Myocardial Perfusion MR Image Sequences
    Gupta, Vikas
    Hendriks, Emile A.
    Milles, Julien
    van der Geest, Rob J.
    Jerosch-Herold, Michael
    Reiber, Johan H. C.
    Lelieveldt, Boudewijn P. F.
    ACADEMIC RADIOLOGY, 2010, 17 (11) : 1375 - 1385
  • [39] 3-D Active Meshes: Fast Discrete Deformable Models for Cell Tracking in 3-D Time-Lapse Microscopy
    Dufour, Alexandre
    Thibeaux, Roman
    Labruyere, Elisabeth
    Guillen, Nancy
    Olivo-Marin, Jean-Christophe
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2011, 20 (07) : 1925 - 1937
  • [40] Automated profiling of individual cell-cell interactions from high-throughput time-lapse imaging microscopy in nanowell grids (TIMING)
    Merouane, Amine
    Rey-Villamizar, Nicolas
    Lu, Yanbin
    Liadi, Ivan
    Romain, Gabrielle
    Lu, Jennifer
    Singh, Harjeet
    Cooper, Laurence J. N.
    Varadarajan, Navin
    Roysam, Badrinath
    BIOINFORMATICS, 2015, 31 (19) : 3189 - 3197