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WiSoft® Minerva Analysis Application Development Platform

The ultimate solution for assay development, visualization, analysis and statistical evaluation of experiments.
Offers user friendly flexible and modular tools allowing powerful, yet versatile image processing and analysis.

 

  • Smart, Modular, Versatile
    WiSoft® Minerva analysis software package offers extremely versatile image processing, segmentation, quantification and multi-parametric statistical analysis, and a variety of image and data visualization tools.
    The rich set of image analysis functions and modules together with the large repertoire of visualization tools for images and output data are flexibly assembled into an analysis pipeline in a workflow-based interface.
  • Taylor-made analysis scripts
    Minerva provides highly flexible solutions for gathering unbiased data from samples of a wide range of cellular biological, immunological, pharmaceutical and biomedical applications.
    The software’s user-friendly, flexible and modular tools allow powerful, yet versatile image processing and analysis.
    To keep ahead of users increasing research needs, Minerva consists of image analysis building blocks for creating high-content image analysis applications tailored to fit your ever-progressing research.
  • High resolution analysis – without sacrificing speed
    Minerva is designed for analyzing very large image data sets at high processing speeds.
    The sophisticated image processing algorithms and statistical evaluations of multi-parametric data enable the harvesting of rich information without sacrificing the speed of analysis.
  • Straightforward visualization tools
    A large variety of visualization and data presentation tools are offered for results display, such as histograms, scatter plots, heat maps, plots and graphs of numerical data, sub-population tools and many more.

 

  • Easily create analysis scripts
    Minerva enables biologists who are non- image analysis experts to develop image analysis scripts on their own. Images can be segmented with just a few clicks of the mouse and then tailored algorithms developed quickly and easily.
    Minerva’s modularity enables the adaptation of ready-made analysis modules for specific biological assays, simple programming of analysis scripts using pre-configured image analysis functions, and high-level programming, enabling the addition of algorithms for customized functions.
    The workflow-based interface consists of simple navigation through the analysis modules for simple creation of new functions.
    The software offers flexible input and output formats and a uniform data structure to allow simple merging of functions from external sources.
  • Powerful multi—parametric statistical evaluation tools
    Minerva conducts multi parametric analysis on the effects of treated cells defined by morphological, multi-color and time-dependent features and compared to controls using a variety of statistical scores.
    A statistical programs menu offers fast optimized image pre-processing algorithms, rich choice of segmentation methods for identifying cells and intracellular features and quantification of morphological, intensity and texture features.
    Powerful statistical tools enable definition of effects and responses to perturbations in multi-parametric space, as well as integration of screening data for global visualization and interactive data mining.
    A unique Outliers tool allows the exclusion of objects that exhibit values which markedly deviate from other objects in the data set out of the statistical calculations in order to achieve a more accurate & reliable presentation of the results.

 

Analysis applications (partial list) Image processing modules (partial list)
  • 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 structures
  • 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 (counting and sorting bacteria)
  •  Immunology
Preprocessing

Field correction, de-noising, background estimation and subtraction

Segmentation

Contrast enhancement, texture enhancement

Thresholding methods, connected components “blobs”(binary, WatersShed, SeededWaterShed), 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)

 

Pre-processing
Field correction, de-noising, background estimation and subtractionSegmentation
Contrast enhancement, texture enhancement thresholding methods, connected components “blobs”, fibers, points, splitting and aggregation of segments, mask merging, secondary masksQuantification
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 curvesStatistics
Single-parameter mean, median, percentiles, and non-parametric distribution comparisons, multi-parametric methods (e.g. clustering, extended principal components, Mahalanobis-based scores)

Biomarker imaging
Quantitative analysis of cellular biomarkers

Cell morphology and Cell-level quantification
Accurate cell edge detection and segmentation at sparse culture and in cell colonies.

 

Sub-cellular features; detection and quantification
Nuclei
RNA (RNAi, mRNA)
DNA (mtDNA)
Actin Cytoskeleton
Microtubules
Golgi
Vesicles
Focal adhesions
Mitochondria

Dynamic processes; tracking events with high temporal resolution

Cell Dynamics
Microtubule movement, growth and shrinkage
Phago-kinetic tracks
Protein expression and localization
Wound healing scratch assay

Model systems
Animal cells
Live cell
Fixed cells
Primary cells
Bacteria
Viruses
Yeast
Spheroids
Organoids
Zebrafish
C-elegans

Features Content/Description
Operation system ·   Microsoft Windows® XP
Modularity ·   Script-based, pre-configured templates for a quick learning curve and rapid customization during assay development, scalable deployment

·   Ready to use modules for a large variety of applications

·   Functions for user-built analysis sequences

·   Supports custom development of new functions and algorithms

·   Manual parameter tuning tool

Import/Export

 

·   Import of common microscope image formats. Flexible input image format

·   Exports images and masks to TIFF, JPEG and BMP format, and numerical data in CSV format

Speed ·   Fast processing of complex data sets allows analysis of images during acquisition
Visualization ·   Single image

·   Montage or tile of multiple images

·   Overlays of multicolor images and masks

·   Plots and graphs of numerical data

Image analysis and statistical tools ·   Image pre-processing tools

·   Segmentation methods for cells and intracellular features

·   Quantification of morphological and fluorescence intensity and texture features

·   Non-parametric statistics tools

·   Multi-parametric analysis tools

·   Automatic exclusion of outliers

·   Interactive data mining

Resources

Wisofts brochure

Application Notes