Difference between revisions of "Template:Article of the week"

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(Updated article of the week text.)
(Updated article of the week.)
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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:PKU-test.jpg|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Keck Bioimaging Lab.jpg|240px]]</div>
A '''[[biobank]]''' is a collection of biological samples (usually human) for use in research. The samples may also include personal medical and genealogical data. Sites for these collections come in different forms, typically based on the types of samples being stored and the scientific domain associated with them. These sites can be loosely categorized into two types: those based on biological specimens from patients and donors, and those specifically designed to aid in population-based research.
'''[[Bioimage informatics]]''' is a multidisciplinary sub-field of [[bioinformatics]] and computational biology that involves the development and use of computational techniques to analyze bioimages, especially cellular and molecular images, on a large scale fashion, with the goal of mining useful knowledge out of complicated and heterogeneous images and related metadata.


Biobanks give researchers access to data representing larger numbers of people than could be analyzed in previously used systems. Furthermore, samples in biobanks and the data derived from those samples can often be used by multiple researchers for multiple purposes. Large collections of samples representing tens or hundreds of thousands of individuals are necessary to conduct certain studies. However, these activities come with their share of questions regarding research and medical ethics, and they have provoked discussions in some community circles. While viewpoints on what constitutes appropriate biobank ethics diverge, consensus has been reached that relying on biobanks without carefully considered governing principles and policies could negatively impact communities participating in biobank programs. ('''[[Biobank|Full article...]]''')<br />
The field of bioimage informatics is somewhat related to [[Imaging informatics|medical imaging informatics]], in so much as some of the advances in that field have found their way to the technology of analyzing bioimages. However, "it is very challenging to directly apply existing medical image analysis methods to ... bioimage informatics problems." Some of the challenges bioimages pose to researchers include the difficulty of analyzing at the cellular and molecular scales, the large size of the files, and the amount of time required to manually analyze the files. These challenges require automatic high-throughput analysis techniques, novel algorithms, and advanced systems to deal with the tasks of processing, storing, visualizing, and mining bioimages. ('''[[Bioimage informatics|Full article...]]''')<br />
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''Recently featured'': [[Translational research]], [[Rural health clinic]], [[Picture archiving and communication system]]
''Recently featured'': [[Biobank]], [[Translational research]], [[Rural health clinic]]

Revision as of 15:11, 9 September 2014

Keck Bioimaging Lab.jpg

Bioimage informatics is a multidisciplinary sub-field of bioinformatics and computational biology that involves the development and use of computational techniques to analyze bioimages, especially cellular and molecular images, on a large scale fashion, with the goal of mining useful knowledge out of complicated and heterogeneous images and related metadata.

The field of bioimage informatics is somewhat related to medical imaging informatics, in so much as some of the advances in that field have found their way to the technology of analyzing bioimages. However, "it is very challenging to directly apply existing medical image analysis methods to ... bioimage informatics problems." Some of the challenges bioimages pose to researchers include the difficulty of analyzing at the cellular and molecular scales, the large size of the files, and the amount of time required to manually analyze the files. These challenges require automatic high-throughput analysis techniques, novel algorithms, and advanced systems to deal with the tasks of processing, storing, visualizing, and mining bioimages. (Full article...)

Recently featured: Biobank, Translational research, Rural health clinic

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