Paper
19 February 2007 HiFLO: a high-throughput system for spatial analysis of FISH loci in interphase nuclei
Prabhakar R. Gudla, J. Collins, K. J. Meaburn, T. Misteli, S. J. Lockett
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Abstract
Numerous investigations in the last years focused on chromosome and gene arrangements through the application of statistical methods that analyze the non randomness of spatial distributions of fluorescence in situ hybridization (FISH) labeled nucleic acid sequences in terms of their distance to the nuclear centers and their proximity to each other. However, existing imaging processing methods are rather limited in extracting sufficient number of nuclei with FISH label sequences, and manual analysis is unreasonably time-consuming and subjective. This paper presents an automated system that integrates a series of advanced image processing methods to over come this rate-limiting step. Evaluation results show that the proposed method is efficient, robust, and effective in extracting individual nuclei with FISH labels.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Prabhakar R. Gudla, J. Collins, K. J. Meaburn, T. Misteli, and S. J. Lockett "HiFLO: a high-throughput system for spatial analysis of FISH loci in interphase nuclei", Proc. SPIE 6441, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues V, 644119 (19 February 2007); https://doi.org/10.1117/12.700817
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Cited by 3 scholarly publications.
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KEYWORDS
Image segmentation

Image processing

Image processing algorithms and systems

Statistical analysis

3D image processing

Algorithm development

Spatial analysis

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