WiSoft® is a unique high-speed image analysis pipeline. WiSoft® software solutions, Athena and Minerva, are used for a wide variety of biological, biomedical and pharmaceutical applications and have been developed through a continuous dialogue with users. WiSoft® offers dedicated solutions for high-content image analysis, with specialty in high-resolution image analysis algorithms, which enables the analysis of complex biological systems.

WiSoft® Athena is application-based software with intuitive and easy to use user interface for the analysis of HCS data at the push of a button. Nevertheless, WiSoft® Athena is reach with visualization tools and embedded statistical evaluation tools, for easy review and reporting of experimental results.

WiSoft® Minerva provides optimal environment for development of analysis scripts for high content assays and for single images. It is based on a library of image analysis modules, as well as statistical evaluation modules and rich visualization tool kit.

 

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The modularity of WiSoft® enables a rich selection of image processing and quantification tools, statistical analysis of data and easy handling of image and data. WiSoft® users can use available modules for specific applications, build new modules from a large variety of building blocks and develop new functions.

Images

Multicolor,
Time dependent
Images
User-tunable parameters
Preprocessing
Preprocessing steps (e.g. illumination correction, de-noising, background subtraction)
User-tunable parameters
Segmentation
Objects segmentation
(e.g. nuclei, cells, organelles, cytoskeleton, vesicles)
User-tunable parameters
Quantify
Quantify features
(e.g. morphology, intensity, texture)

Statistics

Accumulation of quantified data
Statistical analysis
Scoring of effects compared to control
Loop on Image colors, Wells, Plates
 
Plate Scores

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Functions and Application Modules

Partial list of functions and applications is shown below

 

Analysis modules

  • Cell count (including separation of cells in aggregates)
  • Cell death (toxicity, mitotic index)
  • Cell shape and polarity
  • Cell tracking (migration, time-dependence of features)
  • Nuclear and sub-nuclear structure
  • Cytoplasm-to-nucleus ratio
  • Actin cytoskeleton features
  • Microtubule cytoskeleton features
  • Focal adhesion features
  • Intracellular vesicle features
  • Mitochondria features
  • Golgi organization
  • Endoplasmic reticulum features
  • Sub-cellular co-localization and image correlation
  • Proteasome inhibition quantification
  • Microtubule dynamics assay
  • Multi-color analysis of lymphoid cells
  • Bacteriology
  • Immunology

Image processing tools

  • Preprocessing
  • Field correction, de-noising, background estimation and subtraction
  • Segmentation
  • Contrast enhancement, texture enhancement thresholding methods, connected components “blobs”, fibers, points, splitting and aggregation of segments, mask merging, secondary masks
  • Quantification
  • Morphological attributes: area, perimeter, best-fitted ellipsoid, convex hull, polarity, eccentricity, solidity, long-to-short axis ratio.
    Fluorescent intensity attributes: total intensity, average intensity, background-subtracted intensities, color intensity ratios, Intensity-weighted textural.
    Dynamic attributes: cell-by-cell time dependence of attributes, moving speed, intracellular transport speeds, drug-response curves
  • Statistics
  • Single-parameter mean, median, percentiles, and non-parametric distribution comparisons, multi-parametric methods (e.g. clustering, extended principal components, Mahalanobis-based scores)