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BMC Bioinformatics

Imaging, image analysis and data visualization

Section edited by Hanchuan Peng

This section incorporates all aspects of imaging and bioimage informatics, including but not limited to: microscopic and biomedical image acquisition methods and applications, methods and applications of image analysis and related machine learning, pattern recognition and data mining techniques, image oriented multidimensional data and metadata visualization techniques, methods and applications of bioimage annotation and ontology generation.

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  1. Content type: Software

    ImageJ is an image analysis program extensively used in the biological sciences and beyond. Due to its ease of use, recordable macro language, and extensible plug-in architecture, ImageJ enjoys contributions f...

    Authors: Curtis T. Rueden, Johannes Schindelin, Mark C. Hiner, Barry E. DeZonia, Alison E. Walter, Ellen T. Arena and Kevin W. Eliceiri

    Citation: BMC Bioinformatics 2017 18:529

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  2. Content type: Research Article

    Cell-scaffold contact measurements are derived from pairs of co-registered volumetric fluorescent confocal laser scanning microscopy (CLSM) images (z-stacks) of stained cells and three types of scaffolds (i.e....

    Authors: Peter Bajcsy, Soweon Yoon, Stephen J. Florczyk, Nathan A. Hotaling, Mylene Simon, Piotr M. Szczypinski, Nicholas J. Schaub, Carl G. Simon Jr, Mary Brady and Ram D. Sriram

    Citation: BMC Bioinformatics 2017 18:526

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  3. Content type: Research Article

    Brain disorders are one of the top causes of human death. Generally, neurologists analyze brain medical images for diagnosis. In the image analysis field, corners are one of the most important features, which ...

    Authors: Linlin Gao, Haiwei Pan, Qing Li, Xiaoqin Xie, Zhiqiang Zhang, Jinming Han and Xiao Zhai

    Citation: BMC Bioinformatics 2017 18:505

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  4. Content type: Research Article

    Aging is characterized by a gradual breakdown of cellular structures. Nuclear abnormality is a hallmark of progeria in human. Analysis of age-dependent nuclear morphological changes in Caenorhabditis elegans is o...

    Authors: Mengdi Zhao, Jie An, Haiwen Li, Jiazhi Zhang, Shang-Tong Li, Xue-Mei Li, Meng-Qiu Dong, Heng Mao and Louis Tao

    Citation: BMC Bioinformatics 2017 18:412

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  5. Content type: Software

    With ever-increasing amounts of data produced in biology research, scientists are in need of efficient data analysis methods. Cluster analysis, combined with visualization of the results, is one such method th...

    Authors: Michael Kern, Alexander Lex, Nils Gehlenborg and Chris R. Johnson

    Citation: BMC Bioinformatics 2017 18:406

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  6. Content type: Research Article

    Traction Force Microscopy (TFM) is a widespread technique to estimate the tractions that cells exert on the surrounding substrate. To recover the tractions, it is necessary to solve an inverse problem, which i...

    Authors: Alejandro Suñé-Auñón, Alvaro Jorge-Peñas, Rocío Aguilar-Cuenca, Miguel Vicente-Manzanares, Hans Van Oosterwyck and Arrate Muñoz-Barrutia

    Citation: BMC Bioinformatics 2017 18:365

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  7. Content type: Research Article

    Histopathology images are critical for medical diagnosis, e.g., cancer and its treatment. A standard histopathology slice can be easily scanned at a high resolution of, say, 200,000×200,000 pixels. These high ...

    Authors: Yan Xu, Yeshu Li, Zhengyang Shen, Ziwei Wu, Teng Gao, Yubo Fan, Maode Lai and Eric I-Chao Chang

    Citation: BMC Bioinformatics 2017 18:360

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  8. Content type: Software

    Drosophila melanogaster is an important organism used in many fields of biological research such as genetics and developmental biology. Drosophila wings have been widely used to study ...

    Authors: Sheng Yang Michael Loh, Yoshitaka Ogawa, Sara Kawana, Koichiro Tamura and Hwee Kuan Lee

    Citation: BMC Bioinformatics 2017 18:319

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  9. Content type: Software

    Image segmentation and registration techniques have enabled biologists to place large amounts of volume data from fluorescence microscopy, morphed three-dimensionally, onto a common spatial frame. Existing too...

    Authors: Yong Wan, Hideo Otsuna, Holly A. Holman, Brig Bagley, Masayoshi Ito, A. Kelsey Lewis, Mary Colasanto, Gabrielle Kardon, Kei Ito and Charles Hansen

    Citation: BMC Bioinformatics 2017 18:280

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  10. Content type: Methodology Article

    Histopathology image analysis is a gold standard for cancer recognition and diagnosis. Automatic analysis of histopathology images can help pathologists diagnose tumor and cancer subtypes, alleviating the work...

    Authors: Yan Xu, Zhipeng Jia, Liang-Bo Wang, Yuqing Ai, Fang Zhang, Maode Lai and Eric I-Chao Chang

    Citation: BMC Bioinformatics 2017 18:281

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  11. Content type: Software

    Spectral imaging with polarity-sensitive fluorescent probes enables the quantification of cell and model membrane physical properties, including local hydration, fluidity, and lateral lipid packing, usually ch...

    Authors: Miles Aron, Richard Browning, Dario Carugo, Erdinc Sezgin, Jorge Bernardino de la Serna, Christian Eggeling and Eleanor Stride

    Citation: BMC Bioinformatics 2017 18:254

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  12. Content type: Research Article

    Image registration is an important research topic in the field of image processing. Applying image registration to vascular image allows multiple images to be strengthened and fused, which has practical value ...

    Authors: Li Chen, Yuxi Lian, Yi Guo, Yuanyuan Wang, Thomas S. Hatsukami, Kristi Pimentel, Niranjan Balu and Chun Yuan

    Citation: BMC Bioinformatics 2017 18:229

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  13. Content type: Methodology article

    Understanding the working mechanism of the brain is one of the grandest challenges for modern science. Toward this end, the BigNeuron project was launched to gather a worldwide community to establish a big dat...

    Authors: Zhijiang Wan, Yishan He, Ming Hao, Jian Yang and Ning Zhong

    Citation: BMC Bioinformatics 2017 18:197

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  14. Content type: Research article

    In recent years, the microscopy technology for imaging cells has developed greatly and rapidly. The accompanying requirements for automatic segmentation and quantification of the imaged cells are becoming more...

    Authors: Zhenzhou Wang and Haixing Li

    Citation: BMC Bioinformatics 2017 18:189

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  15. Content type: Research Article

    Manual assessment and evaluation of fluorescent micrograph cell experiments is time-consuming and tedious. Automated segmentation pipelines can ensure efficient and reproducible evaluation and analysis with co...

    Authors: Veit Wiesmann, Matthias Bergler, Ralf Palmisano, Martin Prinzen, Daniela Franz and Thomas Wittenberg

    Citation: BMC Bioinformatics 2017 18:176

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2016 Journal Metrics

  • Citation Impact
    2.448 - 2-year Impact Factor
    3.450 - 5-year Impact Factor
    0.946 - Source Normalized Impact per Paper (SNIP)
    1.467 - SCImago Journal Rank (SJR)

    Usage 
    3784657 downloads
    1405 Usage Factor


    Social Media Impact
    816 mentions

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