Automated Analysis and Classification of Infected Macrophages Using Bright-Field Amplitude Contrast Data
This article presents a methodology for acquisition and analysis of bright-field amplitude contrast image data in high-throughput screening (HTS) for the measurement of cell density, cell viability, and classification of individual cells into phenotypic classes. We present a robust image analysis pi...
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| Published in | Journal of biomolecular screening Vol. 17; no. 3; pp. 401 - 408 |
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| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
01.03.2012
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| Subjects | |
| Online Access | Get full text |
| ISSN | 2472-5552 1552-454X |
| DOI | 10.1177/1087057111426902 |
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| Abstract | This article presents a methodology for acquisition and analysis of bright-field amplitude contrast image data in high-throughput screening (HTS) for the measurement of cell density, cell viability, and classification of individual cells into phenotypic classes. We present a robust image analysis pipeline, where the original data are subjected to image standardization, image enhancement, and segmentation by region growing. This work develops new imaging and analysis techniques for cell analysis in HTS and successfully addresses a particular need for direct measurement of cell density and other features without using dyes. |
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| AbstractList | This article presents a methodology for acquisition and analysis of bright-field amplitude contrast image data in high-throughput screening (HTS) for the measurement of cell density, cell viability, and classification of individual cells into phenotypic classes. We present a robust image analysis pipeline, where the original data are subjected to image standardization, image enhancement, and segmentation by region growing. This work develops new imaging and analysis techniques for cell analysis in HTS and successfully addresses a particular need for direct measurement of cell density and other features without using dyes. |
| Author | Ponomareva, Larissa Kanzlemar, Stephen Lamkin, Thomas J. Taylor, Debbie Saldanha, Roland Adiga, Umesh Bell, Brian Kramer, Ryan Nelson, Sandra |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/22058111$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1111/j.1365-2818.2009.03144.x 10.1007/BF02289565 10.1007/11499145_13 10.1109/TMI.2005.846851 10.1109/PROC.1979.11328 10.1016/0031-3203(86)90030-0 10.1109/TIP.2006.875205 |
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| References | Hand (10.1177/1087057111426902_bib2) 2009; 234 Adiga (10.1177/1087057111426902_bib7) 2006; 15 Haralick (10.1177/1087057111426902_bib10) 1979; 67 Kruskal (10.1177/1087057111426902_bib15) 1964; 29 Pietikäinen (10.1177/1087057111426902_bib13) 2005; 3540 Tscherepanow (10.1177/1087057111426902_bib5) 2006; 3 Tscherepanow (10.1177/1087057111426902_bib4) 2008 10.1177/1087057111426902_bib12 Rizon (10.1177/1087057111426902_bib9) 2006; 2 Ambriz-Colin (10.1177/1087057111426902_bib1) 2006; 5 Kittler (10.1177/1087057111426902_bib6) 1986; 19 Debeir (10.1177/1087057111426902_bib3) 2005; 24 Varela (10.1177/1087057111426902_bib11) 2001 Laptev (10.1177/1087057111426902_bib8) 2001 Bashar (10.1177/1087057111426902_bib14) 2006 |
| References_xml | – volume: 234 start-page: 62 year: 2009 ident: 10.1177/1087057111426902_bib2 article-title: Automated Tracking of Migrating Cells in Phase-Contrast Video Microscopy Sequences Using Image Registration publication-title: J. Microsc. doi: 10.1111/j.1365-2818.2009.03144.x – start-page: 63 year: 2001 ident: 10.1177/1087057111426902_bib8 article-title: Tracking of Multi-State Hand Models Using Particle Filtering and a Hierarchy of Multi-Scale Features – volume: 29 start-page: 1 year: 1964 ident: 10.1177/1087057111426902_bib15 article-title: Multidimensional Scaling by Optimizing Goodness of Fit to a Nonmetric Hypothesis publication-title: Psychometrika doi: 10.1007/BF02289565 – start-page: 158 year: 2008 ident: 10.1177/1087057111426902_bib4 article-title: Automatic Segmentation of Unstained Living Cells in Bright Field Microscope Images – volume: 3540 start-page: 115 year: 2005 ident: 10.1177/1087057111426902_bib13 article-title: Image Analysis with Local Binary Patterns publication-title: Image Anal. Lect. Notes Comput. Sci. doi: 10.1007/11499145_13 – ident: 10.1177/1087057111426902_bib12 – start-page: 1391 year: 2001 ident: 10.1177/1087057111426902_bib11 article-title: Classification of Breast Tumors on Digital Mammograms Using Laws’ Texture Features – volume: 24 start-page: 697 year: 2005 ident: 10.1177/1087057111426902_bib3 article-title: Tracking of Migrating Cells under Phase Contrast Video Microscopy with Combined Mean Shift Processes publication-title: IEEE Trans. Med. Imaging doi: 10.1109/TMI.2005.846851 – volume: 67 start-page: 786 year: 1979 ident: 10.1177/1087057111426902_bib10 article-title: Statistical and Structural Approaches to Texture publication-title: Proc. IEEE doi: 10.1109/PROC.1979.11328 – volume: 19 start-page: 141 year: 1986 ident: 10.1177/1087057111426902_bib6 article-title: Minimum Error Thresholding publication-title: Pattern Recognition doi: 10.1016/0031-3203(86)90030-0 – volume: 5 start-page: 68 year: 2006 ident: 10.1177/1087057111426902_bib1 article-title: Detection of Biological Cells in Phase-Contrast Microscopy Images publication-title: IEEE Artif. Intell. Conf. – volume: 3 start-page: 972 year: 2006 ident: 10.1177/1087057111426902_bib5 article-title: Classification of Segmented Regions in Bright Field Microscope Images publication-title: Proc. Int. Conf. Pattern Recognition – start-page: 136 year: 2006 ident: 10.1177/1087057111426902_bib14 article-title: Image Retrieval by Local Contrast Patterns and Color – volume: 15 start-page: 2259 year: 2006 ident: 10.1177/1087057111426902_bib7 article-title: High-Throughput Analysis of Multispectral Images of Breast Cancer Tissue publication-title: IEEE Trans. Image Processing doi: 10.1109/TIP.2006.875205 – volume: 2 start-page: 1876 year: 2006 ident: 10.1177/1087057111426902_bib9 article-title: Object Detection Using Geometric Invariant Moment publication-title: Am. J. Appl. Sci. |
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| SubjectTerms | Algorithms Cell Count Cell Survival Francisella tularensis Humans Image Enhancement - methods Image Processing, Computer-Assisted - methods Macrophages - microbiology Microscopy - methods Pattern Recognition, Automated - methods Phenotype Tularemia - diagnosis |
| Title | Automated Analysis and Classification of Infected Macrophages Using Bright-Field Amplitude Contrast Data |
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