DOI: 10.1093/bioinformatics/btn346. Bioimage informatics: a new area of engineering biology

Bioimage informatics: a new area of engineering biology

10.1093/bioinformatics/btn346

Crossref journal-article

Oxford University Press (OUP)

Bioinformatics (286)

Abstract

Abstract In recent years, the deluge of complicated molecular and cellular microscopic images creates compelling challenges for the image computing community. There has been an increasing focus on developing novel image processing, data mining, database and visualization techniques to extract, compare, search and manage the biological knowledge in these data-intensive problems. This emerging new area of bioinformatics can be called ‘bioimage informatics’. This article reviews the advances of this field from several aspects, including applications, key techniques, available tools and resources. Application examples such as high-throughput/high-content phenotyping and atlas building for model organisms demonstrate the importance of bioimage informatics. The essential techniques to the success of these applications, such as bioimage feature identification, segmentation and tracking, registration, annotation, mining, image data management and visualization, are further summarized, along with a brief overview of the available bioimage databases, analysis tools and other resources. Contact: pengh@janelia.hhmi.org Supplementary information: Supplementary data are available at Bioinformatics online.

Bibliography

Peng, H. (2008). Bioimage informatics: a new area of engineering biology. Bioinformatics, 24(17), 1827â1836.

Authors 1

Hanchuan Peng (first)

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Dates

Type	When
Created	17 years, 1 month ago (July 4, 2008, 8:25 p.m.)
Deposited	2 years, 6 months ago (Feb. 2, 2023, 8:01 a.m.)
Indexed	2 months ago (June 27, 2025, 5:51 a.m.)
Issued	17 years, 1 month ago (July 4, 2008)
Published	17 years, 1 month ago (July 4, 2008)
Published Online	17 years, 1 month ago (July 4, 2008)
Published Print	16 years, 11 months ago (Sept. 1, 2008)

Funders 0

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BibTeX

@article{Peng_2008, title={Bioimage informatics: a new area of engineering biology}, volume={24}, ISSN={1367-4803}, url={http://dx.doi.org/10.1093/bioinformatics/btn346}, DOI={10.1093/bioinformatics/btn346}, number={17}, journal={Bioinformatics}, publisher={Oxford University Press (OUP)}, author={Peng, Hanchuan}, year={2008}, month=jul, pages={1827–1836} }

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            2016,
            10,
            2
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        ],
        "date-time": "2016-10-02T00:00:00Z",
        "timestamp": 1475366400000
      },
      "content-version": "vor",
      "delay-in-days": 3012,
      "URL": "http://creativecommons.org/licenses/by-nc/2.0/uk/"
    }
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  "abstract": "<jats:title>Abstract</jats:title>\n               <jats:p>In recent years, the deluge of complicated molecular and cellular microscopic images creates compelling challenges for the image computing community. There has been an increasing focus on developing novel image processing, data mining, database and visualization techniques to extract, compare, search and manage the biological knowledge in these data-intensive problems. This emerging new area of bioinformatics can be called \u2018bioimage informatics\u2019. This article reviews the advances of this field from several aspects, including applications, key techniques, available tools and resources. Application examples such as high-throughput/high-content phenotyping and atlas building for model organisms demonstrate the importance of bioimage informatics. The essential techniques to the success of these applications, such as bioimage feature identification, segmentation and tracking, registration, annotation, mining, image data management and visualization, are further summarized, along with a brief overview of the available bioimage databases, analysis tools and other resources.</jats:p>\n               <jats:p>Contact: \u00a0pengh@janelia.hhmi.org</jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.</jats:p>",
  "DOI": "10.1093/bioinformatics/btn346",
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    "date-time": "2008-07-05T00:25:37Z",
    "timestamp": 1215217537000
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  "page": "1827-1836",
  "source": "Crossref",
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  "title": "Bioimage informatics: a new area of engineering biology",
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  "volume": "24",
  "author": [
    {
      "given": "Hanchuan",
      "family": "Peng",
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