Benefits of utilizing CellProfiler as a characterization tool for U-10Mo nuclear fuel

Collette, R.; Douglas, J.; Patterson, L.; Bahun, G.; King, J.; Keiser, D.; Schulthess, J.

doi:10.1016/j.matchar.2015.03.034

Title: Benefits of utilizing CellProfiler as a characterization tool for U-10Mo nuclear fuel

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Abstract

Automated image processing techniques have the potential to aid in the performance evaluation of nuclear fuels by eliminating judgment calls that may vary from person-to-person or sample-to-sample. Analysis of in-core fuel performance is required for design and safety evaluations related to almost every aspect of the nuclear fuel cycle. This study presents a methodology for assessing the quality of uranium-molybdenum fuel images and describes image analysis routines designed for the characterization of several important microstructural properties. The analyses are performed in CellProfiler, an open-source program designed to enable biologists without training in computer vision or programming to automatically extract cellular measurements from large image sets. The quality metric scores an image based on three parameters: the illumination gradient across the image, the overall focus of the image, and the fraction of the image that contains scratches. The metric presents the user with the ability to ‘pass’ or ‘fail’ an image based on a reproducible quality score. Passable images may then be characterized through a separate CellProfiler pipeline, which enlists a variety of common image analysis techniques. The results demonstrate the ability to reliably pass or fail images based on the illumination, focus, and scratch fraction of the image, followed bymore »« less

Authors:

Collette, R. ^[1]; Douglas, J. ^[1]; Patterson, L. ^[1]; Bahun, G. ^[1]; King, J. ^[1]; Keiser, D. ^[2]; Schulthess, J. ^[2]

Colorado School of Mines, Golden, CO (United States)
Idaho National Lab. (INL), Idaho Falls, ID (United States)

Publication Date:: Fri May 01 00:00:00 EDT 2015

Research Org.:: Idaho National Lab. (INL), Idaho Falls, ID (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1184724

Report Number(s):: INL/JOU-14-32389
Journal ID: ISSN 1044-5803

Grant/Contract Number:: AC07-05ID14517

Resource Type:: Accepted Manuscript

Journal Name:: Materials Characterization

Additional Journal Information:: Journal Volume: 105; Journal ID: ISSN 1044-5803

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

Subject:: 36 MATERIALS SCIENCE; 11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS; 97 MATHEMATICS AND COMPUTING; cell Profiler; focused ion beam

Citation Formats


                    Collette, R., Douglas, J., Patterson, L., Bahun, G., King, J., Keiser, D., and Schulthess, J. Benefits of utilizing CellProfiler as a characterization tool for U-10Mo nuclear fuel.  United States: N. p., 2015. 
Web.  doi:10.1016/j.matchar.2015.03.034.

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                    Collette, R., Douglas, J., Patterson, L., Bahun, G., King, J., Keiser, D., & Schulthess, J. Benefits of utilizing CellProfiler as a characterization tool for U-10Mo nuclear fuel.  United States.  https://doi.org/10.1016/j.matchar.2015.03.034

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                    Collette, R., Douglas, J., Patterson, L., Bahun, G., King, J., Keiser, D., and Schulthess, J. Fri .  
"Benefits of utilizing CellProfiler as a characterization tool for U-10Mo nuclear fuel".  United States.  https://doi.org/10.1016/j.matchar.2015.03.034.  https://www.osti.gov/servlets/purl/1184724.

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@article{osti_1184724,

  title        = {Benefits of utilizing CellProfiler as a characterization tool for U-10Mo nuclear fuel},

  author       = {Collette, R. and Douglas, J. and Patterson, L. and Bahun, G. and King, J. and Keiser, D. and Schulthess, J.},

  abstractNote = {Automated image processing techniques have the potential to aid in the performance evaluation of nuclear fuels by eliminating judgment calls that may vary from person-to-person or sample-to-sample. Analysis of in-core fuel performance is required for design and safety evaluations related to almost every aspect of the nuclear fuel cycle. This study presents a methodology for assessing the quality of uranium-molybdenum fuel images and describes image analysis routines designed for the characterization of several important microstructural properties. The analyses are performed in CellProfiler, an open-source program designed to enable biologists without training in computer vision or programming to automatically extract cellular measurements from large image sets. The quality metric scores an image based on three parameters: the illumination gradient across the image, the overall focus of the image, and the fraction of the image that contains scratches. The metric presents the user with the ability to ‘pass’ or ‘fail’ an image based on a reproducible quality score. Passable images may then be characterized through a separate CellProfiler pipeline, which enlists a variety of common image analysis techniques. The results demonstrate the ability to reliably pass or fail images based on the illumination, focus, and scratch fraction of the image, followed by automatic extraction of morphological data with respect to fission gas voids, interaction layers, and grain boundaries.},

  doi          = {10.1016/j.matchar.2015.03.034},

  journal      = {Materials Characterization},

  number       = ,

  volume       = 105,

  place        = {United States},

  year         = {Fri May 01 00:00:00 EDT 2015},

  month        = {Fri May 01 00:00:00 EDT 2015}

}

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