Subcellular protein distribution software tools | Laser scanning microscopy image analysis

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.

Provides tools for learning generative models of cell organization directly from images, storing and retrieving those models in XML files and synthesizing cell images (or other representations) from one or more models.

Aims to analyze the dynamics of macromolecular assemblies with high spatial and temporal resolution. QFSM allows users to study spatial and temporal relations between the formation, turnover, and mechanical outputs of the filament network. It assists in identifying and tracking speckles and utilizes their location, appearance, and disappearance to derive network flows and assembly/disassembly maps.

Performs 2D immunofluorescence images to pinpoint and number synaptic protein puncta. SynPAnal provides an application that intends to partially automate processing tasks of files generated by confocal laser scanning microscopy. The application focuses on the quantification of puncta attributes but can also be applied for basic fluorescent intensity measuring as well as for basic morphometric analysis of neurons.

Provides a method to determinate automatically and unbiasedly distributions of protein across cellular compartments. PatternUnmixer is built on a machine-learning approach that calculates the amount of fluorescent signal in different subcellular compartments without the need of hand tuning and by only requiring the acquisition of separate training images of markers for each compartment. This software suits for high-throughput microscopy and works well on real images obtained form mixed patterns.