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3D Cell Segmentation and Quantitative Profiling: Methods and Applications

  1. Plant organ segmentation from 3D point clouds is a relevant task for plant phenotyping and plant growth observation. Automated solutions are required to increase the efficiency of recent high-throughput plant ...

    Authors: Mirwaes Wahabzada, Stefan Paulus, Kristian Kersting and Anne-Katrin Mahlein
    Citation: BMC Bioinformatics 2015 16:248
  2. Imaging and image analysis advances are yielding increasingly complete and complicated records of cellular events in tissues and whole embryos. The ability to follow hundreds to thousands of cells at the indiv...

    Authors: Anthony Santella, Raúl Catena, Ismar Kovacevic, Pavak Shah, Zidong Yu, Javier Marquina-Solis, Abhishek Kumar, Yicong Wu, James Schaff, Daniel Colón-Ramos, Hari Shroff, William A. Mohler and Zhirong Bao
    Citation: BMC Bioinformatics 2015 16:189
  3. Due to the large amount of data produced by advanced microscopy, automated image analysis is crucial in modern biology. Most applications require reliable cell nuclei segmentation. However, in many biological ...

    Authors: B. Mathew, A. Schmitz, S. Muñoz-Descalzo, N. Ansari, F. Pampaloni, E.H.K. Stelzer and S.C. Fischer
    Citation: BMC Bioinformatics 2015 16:187
  4. The subcellular distribution of synapses is fundamentally important for the assembly, function, and plasticity of the nervous system. Automated and effective quantification tools are a prerequisite to large-sc...

    Authors: Jonathan Sanders, Anil Singh, Gabriella Sterne, Bing Ye and Jie Zhou
    Citation: BMC Bioinformatics 2015 16:177