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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: 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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  2. Content type: Research article

    Cell image segmentation (CIS) is an essential part of quantitative imaging of biological cells. Designing a performance measure and conducting significance testing are critical for evaluating and comparing the...

    Authors: Jin Chu Wu, Michael Halter, Raghu N. Kacker, John T. Elliott and Anne L. Plant

    Citation: BMC Bioinformatics 2017 18:168

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  3. Content type: Software

    In the evaluation of Stereo-Electroencephalography (SEEG) signals, the physicist’s workflow involves several operations, including determining the position of individual electrode contacts in terms of both rel...

    Authors: Massimo Narizzano, Gabriele Arnulfo, Serena Ricci, Benedetta Toselli, Martin Tisdall, Andrea Canessa, Marco Massimo Fato and Francesco Cardinale

    Citation: BMC Bioinformatics 2017 18:124

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  4. Content type: Research Article

    With rapid advances in genome sequencing and editing technologies, systematic and quantitative analysis of animal behavior is expected to be another key to facilitating data-driven behavioral genetics. The nem...

    Authors: Tsukasa Fukunaga and Wataru Iwasaki

    Citation: BMC Bioinformatics 2017 18:46

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  5. Content type: Research Article

    Visualizing data by dimensionality reduction is an important strategy in Bioinformatics, which could help to discover hidden data properties and detect data quality issues, e.g. data noise, inappropriately lab...

    Authors: Jiaoyun Yang, Haipeng Wang, Huitong Ding, Ning An and Gil Alterovitz

    Citation: BMC Bioinformatics 2017 18:47

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  6. Content type: Research Article

    Bioimage classification is a fundamental problem for many important biological studies that require accurate cell phenotype recognition, subcellular localization, and histopathological classification. In this ...

    Authors: Yang Song, Weidong Cai, Heng Huang, Dagan Feng, Yue Wang and Mei Chen

    Citation: BMC Bioinformatics 2016 17:465

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  7. Content type: Research Article

    New bioimaging techniques capable of visualising the co-location of numerous proteins within individual cells have been proposed to study tumour heterogeneity of neighbouring cells within the same tissue speci...

    Authors: Violeta N. Kovacheva and Nasir M. Rajpoot

    Citation: BMC Bioinformatics 2016 17:430

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  8. Content type: Research article

    Cryo-electron tomography is an important tool to study structures of macromolecular complexes in close to native states. A whole cell cryo electron tomogram contains structural information of all its macromole...

    Authors: Long Pei, Min Xu, Zachary Frazier and Frank Alber

    Citation: BMC Bioinformatics 2016 17:405

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  9. Content type: Software

    Visualization of data generated by high-throughput, high-dimensionality experiments is rapidly becoming a rate-limiting step in computational biology. There is an ongoing need to quickly develop high-quality v...

    Authors: Felix Lam, Christopher M. Lalansingh, Holly E. Babaran, Zhiyuan Wang, Stephenie D. Prokopec, Natalie S. Fox and Paul C. Boutros

    Citation: BMC Bioinformatics 2016 17:401

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  10. Content type: Methodology article

    Soma localization is an important step in computational neuroscience to map neuronal circuits. However, locating somas from large-scale and complicated datasets is challenging. The challenges primarily origina...

    Authors: Shenghua Cheng, Tingwei Quan, Xiaomao Liu and Shaoqun Zeng

    Citation: BMC Bioinformatics 2016 17:375

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  11. Content type: Research article

    Direct volume rendering is one of flexible and effective approaches to inspect large volumetric data such as medical and biological images. In conventional volume rendering, it is often time consuming to set u...

    Authors: Jianlong Zhou, Xiuying Wang, Hui Cui, Peng Gong, Xianglin Miao, Yalin Miao, Chun Xiao, Fang Chen and Dagan Feng

    Citation: BMC Bioinformatics 2016 17:309

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  12. Content type: Methodology article

    Fish tracking is an important step for video based analysis of fish behavior. Due to severe body deformation and mutual occlusion of multiple swimming fish, accurate and robust fish tracking from video image s...

    Authors: Zhi-Ming Qian, Shuo Hong Wang, Xi En Cheng and Yan Qiu Chen

    Citation: BMC Bioinformatics 2016 17:251

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  13. Content type: Research article

    The current practice of histopathology review is limited in speed and accuracy. The current diagnostic paradigm does not fully describe the complex and complicated patterns of cancer. To address these needs, w...

    Authors: Jin Tae Kwak, Stephen M. Hewitt, André Alexander Kajdacsy-Balla, Saurabh Sinha and Rohit Bhargava

    Citation: BMC Bioinformatics 2016 17:227

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  14. Content type: Research Article

    Genomics and proteomics are nowadays the dominant techniques for novel biomarker discovery. However, histopathology images contain a wealth of information related to the tumor histology, morphology and tumor-h...

    Authors: Vlad Popovici, Eva Budinská, Lenka Čápková, Daniel Schwarz, Ladislav Dušek, Josef Feit and Rolf Jaggi

    Citation: BMC Bioinformatics 2016 17:209

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  15. Content type: Research article

    Single particle tracking (SPT) is nowadays one of the most popular technique to probe spatio-temporal dynamics of proteins diffusing within the plasma membrane. Indeed membrane components of eukaryotic cells a...

    Authors: Patrice Dosset, Patrice Rassam, Laurent Fernandez, Cedric Espenel, Eric Rubinstein, Emmanuel Margeat and Pierre-Emmanuel Milhiet

    Citation: BMC Bioinformatics 2016 17:197

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  16. Content type: Methodology Article

    Endocytosis is regarded as a mechanism of attenuating the epidermal growth factor receptor (EGFR) signaling and of receptor degradation. There is increasing evidence becoming available showing that breast canc...

    Authors: Lu Cao, Marjo de Graauw, Kuan Yan, Leah Winkel and Fons J. Verbeek

    Citation: BMC Bioinformatics 2016 17:196

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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)

    1405 Usage Factor

    Social Media Impact
    816 mentions