Applications: Difference between revisions
From MiToBo
Jump to navigationJump to search
No edit summary |
No edit summary |
||
| (13 intermediate revisions by 2 users not shown) | |||
| Line 1: | Line 1: | ||
Several image processing pipelines have already been developed in MiToBo. <br/> | Several image processing pipelines have already been developed in MiToBo. <br/> | ||
Below you can find selected example applications, | Below you can find selected example applications. | ||
* [[Applications/CellBoundaryExtractor2D | CellBoundaryExtractor2D]] (since MiToBo 1.8.13.1) <br/> extracts cell boundaries from microscopy images using vesselness enhancement filters. | |||
* [[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/PaCeQuantToolset | PaCeQuant]] (released with MiToBo 1.8.6, updated in 2.0), <br/> for quantifying pavement cell shape in a high-throughput manner; the main plugin is supplemented by corresponding tools, i.e. the '''''[[Operators/Tools/Interactive/LabelImageEditor|LabelImageEditor]]''''' and the '''''[[Applications/FeatureColorMapper|FeatureColorMapper]]''''' | |||
* [[Applications/MTBCellCounter | MTB Cell Counter]] (since MiToBo 1.5), <br/> a tool for semi-automatic labeling and counting of spot-like structures like, e.g., plastides, stress granules or p-bodies | |||
* [[Applications/MiCa | MiCA - MiToBo Cell Image Analyzer]]<br/> for segmenting cell boundaries and sub-cellular particles in fluorescent microscopy images | * [[Applications/MiCa | MiCA - MiToBo Cell Image Analyzer]]<br/> for segmenting cell boundaries and sub-cellular particles in fluorescent microscopy images | ||
| Line 6: | Line 14: | ||
* [[Applications/NeuronAnalyzer2D | Neuron Analyzer 2D]]<br/> for segmenting the area of neurites and quantify protein concentrations within these neurites | * [[Applications/NeuronAnalyzer2D | Neuron Analyzer 2D]]<br/> for segmenting the area of neurites and quantify protein concentrations within these neurites | ||
* [[Applications/ScratchAssayAnalyzer | Scratch Assay Analyzer]]<br/> for | * [[Applications/ScratchAssayAnalyzer | Scratch Assay Analyzer]]<br/> for analysis of collective cell migration based on scratch/ wound closure assay images | ||
* [[Applications/ | * [[Applications/CellMigrationAnalyzer | Cell Migration Analyzer]]<br/> for migration analysis based on single cell tracking | ||
Latest revision as of 17:59, 16 May 2020
Several image processing pipelines have already been developed in MiToBo.
Below you can find selected example applications.
- CellBoundaryExtractor2D (since MiToBo 1.8.13.1)
extracts cell boundaries from microscopy images using vesselness enhancement filters.
- 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, updated in 2.0),
for quantifying pavement cell shape in a high-throughput manner; the main plugin is supplemented by corresponding tools, i.e. the LabelImageEditor and the FeatureColorMapper
- 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
