Subcellular protein distribution software tools | Super resolution imaging analysis
Localization of a single fluorescent particle with sub-diffraction limit accuracy is a key merit in fluorescence microscopy. Implementation of nonlinear filtering algorithms prior the localization process can improve the localization accuracy of standard existing methods and also enable the localization of overlapping particles, allowing the use of increased fluorophore activation density, and thereby increased data collection speed.
Allows quantification of clathrin-coated pit dynamics from fluorescence time-lapse data. cmeAnalysis provides functionalities including: (1) sensitive detection, (2) tracking (based on u-track), (3) master/slave detection for multi-channel data, (4) intensity-based classification of coated structures, and (5) lifetime analysis. It also contains a graphical user interface (GUI) for inspection of analysis results from individual movies.
Allows investigation of multi-label image data. DiSWOP aims to deduce small-scale protein networks. It finds the links in the protein network by studying individual cells. This tool highlights protein pairs that have different interaction in cancer and normal tissues and can be used as biomarkers to discern between several types of samples employing protein co-dependence. It assists users to recognize and quantify important examples of co-dependence of protein pairs.
Extracts quantitative and biologically relevant information from single molecule localization microscopy (SMLM) data sets. ClusDoC combines two analysis techniques of cluster detection and colocalization. The software provides outputs at the level of molecules (e.g., distribution of DoC scores), of clusters (e.g., size, density, morphology), and of cells (e.g., comparisons across different conditions). It can also generate maps for visualization of the data. ClusDoC can be applied to address a variety of biological questions in different fields.
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