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Bioimage Informatics

The "Bioimage Informatics" thematic series focuses on the latest developments in the emerging field of computational analysis, management, visualization, and mining of biological images, which integrates bioinformatics, computational biology, computer vision, and systems biology to improve image-based studies of biological systems.

Dr Hanchuan Peng, Dr Ivo Sbalzarini, Dr Pavel Tomancak

  1. The sensitivity of Optical Coherence Tomography (OCT) images to identify retinal tissue morphology characterized by early neural loss from normal healthy eyes is tested by calculating structural information an...

    Authors: Gábor Márk Somfai, Erika Tátrai, Lenke Laurik, Boglárka E Varga, Vera Ölvedy, William E Smiddy, Robert Tchitnga, Anikó Somogyi and Delia Cabrera DeBuc
    Citation: BMC Bioinformatics 2014 15:295
  2. Structural study of retinal blood vessels provides an early indication of diseases such as diabetic retinopathy, glaucoma, and hypertensive retinopathy. These studies require accurate tracing of retinal vessel...

    Authors: Jaydeep De, Huiqi Li and Li Cheng
    Citation: BMC Bioinformatics 2014 15:20
  3. Absorption and refraction induced signal attenuation can seriously hinder the extraction of quantitative information from confocal microscopic data. This signal attenuation can be estimated and corrected by al...

    Authors: Thorsten Schmidt, Jasmin Dürr, Margret Keuper, Thomas Blein, Klaus Palme and Olaf Ronneberger
    Citation: BMC Bioinformatics 2013 14:366
  4. Drosophila melanogaster has been established as a model organism for investigating the developmental gene interactions. The spatio-temporal gene expression patterns of Drosophila melanogaster can be visualized by...

    Authors: Qian Sun, Sherin Muckatira, Lei Yuan, Shuiwang Ji, Stuart Newfeld, Sudhir Kumar and Jieping Ye
    Citation: BMC Bioinformatics 2013 14:350
  5. In recent years, high-throughput microscopy has emerged as a powerful tool to analyze cellular dynamics in an unprecedentedly high resolved manner. The amount of data that is generated, for example in long-ter...

    Authors: Felix Buggenthin, Carsten Marr, Michael Schwarzfischer, Philipp S Hoppe, Oliver Hilsenbeck, Timm Schroeder and Fabian J Theis
    Citation: BMC Bioinformatics 2013 14:297
  6. Fundamental cellular processes such as cell movement, division or food uptake critically depend on cells being able to change shape. Fast acquisition of three-dimensional image time series has now become possi...

    Authors: Cheng-Jin Du, Phillip T Hawkins, Len R Stephens and Till Bretschneider
    Citation: BMC Bioinformatics 2013 14:296
  7. Segmenting electron microscopy (EM) images of cellular and subcellular processes in the nervous system is a key step in many bioimaging pipelines involving classification and labeling of ultrastructures. Howev...

    Authors: Saket Navlakha, Parvez Ahammad and Eugene W Myers
    Citation: BMC Bioinformatics 2013 14:294
  8. We briefly identify several critical issues in current computational neuroscience, and present our opinions on potential solutions based on bioimage informatics, especially automated image computing.

    Authors: Hanchuan Peng, Badrinath Roysam and Giorgio A Ascoli
    Citation: BMC Bioinformatics 2013 14:293
  9. Pattern recognition algorithms are useful in bioimage informatics applications such as quantifying cellular and subcellular objects, annotating gene expressions, and classifying phenotypes. To provide effectiv...

    Authors: Jie Zhou, Santosh Lamichhane, Gabriella Sterne, Bing Ye and Hanchuan Peng
    Citation: BMC Bioinformatics 2013 14:291
  10. Segmenting cell nuclei in microscopic images has become one of the most important routines in modern biological applications. With the vast amount of data, automatic localization, i.e. detection and segmentati...

    Authors: Yang Song, Weidong Cai, Heng Huang, Yue Wang, David Dagan Feng and Mei Chen
    Citation: BMC Bioinformatics 2013 14:173