Title | ||
---|---|---|
Automated and Robust Quantification of Colocalization in Dual-Color Fluorescence Microscopy: A Nonparametric Statistical Approach. |
Abstract | ||
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Colocalization is a powerful tool to study the interactions between fluorescently labeled molecules in biological fluorescence microscopy. However, existing techniques for colocalization analysis have not undergone continued development especially in regards to robust statistical support. In this paper, we examine two of the most popular quantification techniques for colocalization and argue that ... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TIP.2017.2763821 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Correlation,Robustness,Microscopy,Biology,Measurement,Statistical analysis,Testing | Fluorescence microscope,Data set,Pattern recognition,Colocalization,Robustness (computer science),Nonparametric statistics,Artificial intelligence,Statistical hypothesis testing,Mathematics,Statistical analysis | Journal |
Volume | Issue | ISSN |
27 | 2 | 1057-7149 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shulei Wang | 1 | 0 | 0.68 |
Ellen T Arena | 2 | 0 | 0.34 |
Kevin W. Eliceiri | 3 | 77 | 10.87 |
Ming Yuan | 4 | 195 | 22.42 |