Applications: Difference between revisions
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Below you can find selected example applications, some of them have been published already. | Below you can find selected example applications, some of them have been published already. | ||
* [ | * [http://mitobo.informatik.uni-halle.de/index.php/Applications/CytoskeletonAnalyzer2D | Cytoskeleton Analyzer 2D] (since MiToBo 1.8.13) <br/> is an advanced version of the [[Applications/ActinAnalyzer2D | Actin Analyzer 2D]] operator for quantifying and comparing structural patterns of the cytoskeleton in cells, e.g., of actin microfilament structures or microtubuli patterns. | ||
* [[Applications/PaCeQuant | PaCeQuant]] (released with MiToBo 1.8.6), <br/> for quantifying pavement cell shape in a high-throughput manner | * [[Applications/PaCeQuant | PaCeQuant]] (released with MiToBo 1.8.6), <br/> for quantifying pavement cell shape in a high-throughput manner | ||
Revision as of 11:42, 1 November 2018
Several image processing pipelines have already been developed in MiToBo.
Below you can find selected example applications, some of them have been published already.
- | Cytoskeleton Analyzer 2D (since MiToBo 1.8.13)
is an advanced version of the Actin Analyzer 2D operator for quantifying and comparing structural patterns of the cytoskeleton in cells, e.g., of actin microfilament structures or microtubuli patterns.
- PaCeQuant (released with MiToBo 1.8.6),
for quantifying pavement cell shape in a high-throughput manner
- MTB Cell Counter (since MiToBo 1.5),
a tool for semi-automatic labeling and counting of spot-like structures like, e.g., plastides, stress granules or p-bodies
- MiCA - MiToBo Cell Image Analyzer
for segmenting cell boundaries and sub-cellular particles in fluorescent microscopy images
- Neuron Analyzer 2D
for segmenting the area of neurites and quantify protein concentrations within these neurites
- Scratch Assay Analyzer
for analysis of collective cell migration based on scratch/ wound closure assay images
- Cell Migration Analyzer
for migration analysis based on single cell tracking
