Computational Framework for Simulating Fluorescence Microscope Images With Cell Populations

IEEE Transactions on Medical Imaging ◽

10.1109/tmi.2007.896925 ◽

2007 ◽

Vol 26 (7) ◽

pp. 1010-1016 ◽

Author(s):

A. Lehmussola ◽

P. Ruusuvuori ◽

J. Selinummi ◽

H. Huttunen ◽

O. Yli-Harja

Keyword(s):

Fluorescence Microscope ◽

Cell Populations ◽

Computational Framework ◽

Microscope Images

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Cell phenotype classification using multi threshold uniform local ternary patterns in fluorescence microscope images

Multimedia Tools and Applications ◽

10.1007/s11042-020-10321-w ◽

2021 ◽

Author(s):

Shervan Fekri-Ershad

Keyword(s):

Fluorescence Microscope ◽

Cell Phenotype ◽

Phenotype Classification ◽

Local Ternary Patterns ◽

Microscope Images

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Searching online journals for fluorescence microscope images depicting protein subcellular location patterns

Proceedings 2nd Annual IEEE International Symposium on Bioinformatics and Bioengineering (BIBE 2001) ◽

10.1109/bibe.2001.974420 ◽

2001 ◽

Author(s):

R.F. Murphy ◽

M. Velliste ◽

Jie Yao ◽

G. Porreca

Keyword(s):

Subcellular Location ◽

Fluorescence Microscope ◽

Protein Subcellular Location ◽

Online Journals ◽

Microscope Images ◽

Location Patterns

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Automated interpretation of subcellular patterns in fluorescence microscope images for location proteomics

Cytometry Part A ◽

10.1002/cyto.a.20280 ◽

2006 ◽

Vol 69A (7) ◽

pp. 631-640 ◽

Author(s):

Xiang Chen ◽

Meel Velliste ◽

Robert F. Murphy

Keyword(s):

Fluorescence Microscope ◽

Microscope Images ◽

Location Proteomics ◽

Automated Interpretation

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Location proteomics: determining the optimal grouping of proteins according to their subcellular location patterns as determined from fluorescence microscope images

Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004. ◽

10.1109/acssc.2004.1399085 ◽

2005 ◽

Author(s):

Xiang Chen ◽

R.F. Murphy

Keyword(s):

Subcellular Location ◽

Fluorescence Microscope ◽

Microscope Images ◽

Location Patterns ◽

Location Proteomics ◽

Optimal Grouping

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Robust Numerical Features for Description and Classification of Subcellular Location Patterns in Fluorescence Microscope Images

The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology ◽

10.1023/b:vlsi.0000003028.71666.44 ◽

2003 ◽

Vol 35 (3) ◽

pp. 311-321 ◽

Author(s):

Robert F. Murphy ◽

Meel Velliste ◽

Gregory Porreca

Keyword(s):

Subcellular Location ◽

Fluorescence Microscope ◽

Microscope Images ◽

Location Patterns

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Implementing vertex dynamics models of cell populations in biology within a consistent computational framework

Progress in Biophysics and Molecular Biology ◽

10.1016/j.pbiomolbio.2013.09.003 ◽

2013 ◽

Vol 113 (2) ◽

pp. 299-326 ◽

Author(s):

Alexander G. Fletcher ◽

James M. Osborne ◽

Philip K. Maini ◽

David J. Gavaghan

Keyword(s):

Cell Populations ◽

Computational Framework ◽

Dynamics Models

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Improved technique for automated classification of protein Subcellular Location patterns in fluorescence microscope images

2010 17th Iranian Conference of Biomedical Engineering (ICBME) ◽

10.1109/icbme.2010.5705023 ◽

2010 ◽

Author(s):

Fateme Mostajer Kheirkhah ◽

Siamak Haghipour

Keyword(s):

Subcellular Location ◽

Fluorescence Microscope ◽

Automated Classification ◽

Protein Subcellular Location ◽

Microscope Images ◽

Location Patterns ◽

Improved Technique

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Multiresolution multiscale active mask segmentation of fluorescence microscope images

10.1117/12.825776 ◽

2009 ◽

Author(s):

Gowri Srinivasa ◽

Matthew Fickus ◽

Jelena Kovačević

Keyword(s):

Fluorescence Microscope ◽

Microscope Images

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Robust classification of subcellular location patterns in fluorescence microscope images

Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing ◽

10.1109/nnsp.2002.1030018 ◽

2003 ◽

Author(s):

R.F. Murphy ◽

M. Velliste ◽

G. Porreca

Keyword(s):

Subcellular Location ◽

Fluorescence Microscope ◽

Robust Classification ◽

Microscope Images ◽

Location Patterns

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Automated determination of protein subcellular locations from 3D fluorescence microscope images

Proceedings IEEE International Symposium on Biomedical Imaging ◽

10.1109/isbi.2002.1029397 ◽

2003 ◽

Author(s):

M. Velliste ◽

R.F. Murphy

Keyword(s):

Fluorescence Microscope ◽

Microscope Images ◽

Protein Subcellular Locations ◽

Automated Determination

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