Analyzing Multi-Tag Bioimages with BIOIMAX colocation mining tools
Kölling J, Rathke M, Abouna S, Khan M, Nattkemper TW (2012)
Presented at the IEEE International Symposium on BIOMEDICAL IMAGING (ISBI), Barcelona.
Konferenzbeitrag
| Veröffentlicht | Englisch
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Abstract / Bemerkung
The application of multi-tag protocols in fluorescence microscopy allows the visualization of a large number (> 10) of molecules (i. e. proteins) in a sample (like a tissue section). However, the analysis of such high dimensional bioimages is a difficult task for most of the labs, since software solutions for particular data mining steps are difficult to use or just not available. In this paper we present two new free online tools: MICOLT (Multivariate Image COlocation Tool) and MIFIST (Multivariate Image Frequent Item Set Tool). Both tools can
be used via our recently proposed online bioimage analysis
platform BioIMAX, so users can upload their bioimage data,
apply the tools and share the results with other invited users based on BioIMAX’ concept of shared virtual projects. Data mining with these tools includes the computation and visualization colocation factors well established in the microscopy community (like Mander’s score) and association rule mining following the frequent item set principle, thereby supporting large and small scale analysis.
Stichworte
Bioimage informatics;
Web Systems;
Science 2.0;
Visual Diagnostics;
visualization;
data mining;
Tissue analysis;
fluorescence microscopy;
Proteomics
Erscheinungsjahr
2012
Konferenz
IEEE International Symposium on BIOMEDICAL IMAGING (ISBI)
Konferenzort
Barcelona
Page URI
https://pub.uni-bielefeld.de/record/2515687
Zitieren
Kölling J, Rathke M, Abouna S, Khan M, Nattkemper TW. Analyzing Multi-Tag Bioimages with BIOIMAX colocation mining tools. Presented at the IEEE International Symposium on BIOMEDICAL IMAGING (ISBI), Barcelona.
Kölling, J., Rathke, M., Abouna, S., Khan, M., & Nattkemper, T. W. (2012). Analyzing Multi-Tag Bioimages with BIOIMAX colocation mining tools. Presented at the IEEE International Symposium on BIOMEDICAL IMAGING (ISBI), Barcelona.
Kölling, Jan, Rathke, Magnus, Abouna, Sylvie, Khan, Mike, and Nattkemper, Tim Wilhelm. 2012. “Analyzing Multi-Tag Bioimages with BIOIMAX colocation mining tools”. Presented at the IEEE International Symposium on BIOMEDICAL IMAGING (ISBI), Barcelona .
Kölling, J., Rathke, M., Abouna, S., Khan, M., and Nattkemper, T. W. (2012).“Analyzing Multi-Tag Bioimages with BIOIMAX colocation mining tools”. Presented at the IEEE International Symposium on BIOMEDICAL IMAGING (ISBI), Barcelona.
Kölling, J., et al., 2012. Analyzing Multi-Tag Bioimages with BIOIMAX colocation mining tools. Presented at the IEEE International Symposium on BIOMEDICAL IMAGING (ISBI), Barcelona.
J. Kölling, et al., “Analyzing Multi-Tag Bioimages with BIOIMAX colocation mining tools”, Presented at the IEEE International Symposium on BIOMEDICAL IMAGING (ISBI), Barcelona, 2012.
Kölling, J., Rathke, M., Abouna, S., Khan, M., Nattkemper, T.W.: Analyzing Multi-Tag Bioimages with BIOIMAX colocation mining tools. Presented at the IEEE International Symposium on BIOMEDICAL IMAGING (ISBI), Barcelona (2012).
Kölling, Jan, Rathke, Magnus, Abouna, Sylvie, Khan, Mike, and Nattkemper, Tim Wilhelm. “Analyzing Multi-Tag Bioimages with BIOIMAX colocation mining tools”. Presented at the IEEE International Symposium on BIOMEDICAL IMAGING (ISBI), Barcelona, 2012.
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Open Access
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