Academic Journal
A Software Framework for the Analysis of Complex Microscopy Image Data.
| Τίτλος: | A Software Framework for the Analysis of Complex Microscopy Image Data. |
|---|---|
| Συγγραφείς: | Chao, Jerry, Ward, E. Sally, Ober, Raimund J. |
| Πηγή: | IEEE Transactions on Information Technology in Biomedicine; Jul2010, Vol. 14 Issue 4, p1075-1087, 13p |
| Θεματικοί όροι: | Microscopy, Image analysis, Computer software, Computer input-output equipment, Medical imaging systems |
| Περίληψη: | Technological advances in both hardware and software have made possible the realization of sophisticated biological imaging experiments using the optical microscope. As a result, modern microscopy experiments are capable of producing complex image datasets. For a given data analysis task, the images in a set are arranged, based on the requirements of the task, by attributes such as the time and focus levels at which they were acquired. Importantly, different tasks performed over the course of an analysis are often facilitated by the use of different arrangements of the images. We present a software framework that supports the use of different logical image arrangements to analyze a physical set of images. This framework, called the Microscopy Image Analysis Tool (MIATool), realizes the logical arrangements using arrays of pointers to the images, thereby removing the need to replicate and manipulate the actual images in their storage medium. In order that they may be tailored to the specific requirements of disparate analysis tasks, these logical arrangements may differ in size and dimensionality, with no restrictions placed on the number of dimensions and the meaning of each dimension. MIATool additionally supports processing flexibility, extensible image processing capabilities, and data storage management. [ABSTRACT FROM AUTHOR] |
| Copyright of IEEE Transactions on Information Technology in Biomedicine is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Links: – Type: other Text: Availability: 0 |
|---|---|
| Header | DbId: edb DbLabel: Complementary Index An: 52543734 RelevancyScore: 834 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 833.7705078125 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: A Software Framework for the Analysis of Complex Microscopy Image Data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chao%2C+Jerry%22">Chao, Jerry</searchLink><br /><searchLink fieldCode="AR" term="%22Ward%2C+E%2E+Sally%22">Ward, E. Sally</searchLink><br /><searchLink fieldCode="AR" term="%22Ober%2C+Raimund+J%2E%22">Ober, Raimund J.</searchLink> – Name: TitleSource Label: Source Group: Src Data: IEEE Transactions on Information Technology in Biomedicine; Jul2010, Vol. 14 Issue 4, p1075-1087, 13p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Microscopy%22">Microscopy</searchLink><br /><searchLink fieldCode="DE" term="%22Image+analysis%22">Image analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software%22">Computer software</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+input-output+equipment%22">Computer input-output equipment</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+imaging+systems%22">Medical imaging systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Technological advances in both hardware and software have made possible the realization of sophisticated biological imaging experiments using the optical microscope. As a result, modern microscopy experiments are capable of producing complex image datasets. For a given data analysis task, the images in a set are arranged, based on the requirements of the task, by attributes such as the time and focus levels at which they were acquired. Importantly, different tasks performed over the course of an analysis are often facilitated by the use of different arrangements of the images. We present a software framework that supports the use of different logical image arrangements to analyze a physical set of images. This framework, called the Microscopy Image Analysis Tool (MIATool), realizes the logical arrangements using arrays of pointers to the images, thereby removing the need to replicate and manipulate the actual images in their storage medium. In order that they may be tailored to the specific requirements of disparate analysis tasks, these logical arrangements may differ in size and dimensionality, with no restrictions placed on the number of dimensions and the meaning of each dimension. MIATool additionally supports processing flexibility, extensible image processing capabilities, and data storage management. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of IEEE Transactions on Information Technology in Biomedicine is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=52543734 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/TITB.2010.2049024 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1075 Subjects: – SubjectFull: Microscopy Type: general – SubjectFull: Image analysis Type: general – SubjectFull: Computer software Type: general – SubjectFull: Computer input-output equipment Type: general – SubjectFull: Medical imaging systems Type: general Titles: – TitleFull: A Software Framework for the Analysis of Complex Microscopy Image Data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chao, Jerry – PersonEntity: Name: NameFull: Ward, E. Sally – PersonEntity: Name: NameFull: Ober, Raimund J. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2010 Type: published Y: 2010 Identifiers: – Type: issn-print Value: 10897771 Numbering: – Type: volume Value: 14 – Type: issue Value: 4 Titles: – TitleFull: IEEE Transactions on Information Technology in Biomedicine Type: main |
| ResultId | 1 |