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MicroVigene™
version 3.0
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MicroVigene offers:
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Quality |
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Performance |
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Flexibility and
Extensibility |
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Software
Capabilities & Main Features
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Supports
DNA/RNA and protein microarray with four
levels hierarchy image |
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one
mouse click to
analyze an image |
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Accurate
grids and precise spot intensity, robust to shifted
and weak images |
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Automatic
background subtraction, dust removal, auto flag
contamination |
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Unattended batch
process, support plug-in and
more...
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MicroVigene image analysis gallery |
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Web
demonstration, MicroVigene version 3.0 Trial l version |
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Quality |
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100% reproducible and operator independent results
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Actual
spot boundary definition to obtain accurate spot signal
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Automatic dust removal with back fill
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Regional background subtraction to obtain highest
sensitivity |
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Blooming correction
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3D visualization for convenient quality assurance |
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Performance |
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One mouse click operation for any combination of images
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Automatically find image block, place flex grid, and
quantify spots
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Robust analysis of shifted, crooked, noisy and weak images |
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Hands free batch process
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10000 spots in less than one minute |
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Automatic rotating and flipping
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Flexibility and Extensibility |
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Support any image layout up to three levels of hierarchies:
mixed orientation of blocks, |
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any type of
grid layout, and various sizes of spots or sub grids |
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Manual
operations include: use anchor points, find dust, adjust
spot location and grid line, |
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define image block, and flag
spot
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Object-oriented design allows maximum flexibility
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Open system architecture supports custom plug-ins
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Seamless integration with post image analysis system
weak
MicroVigene features continue´ |
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Output Features |
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26 output choices of spots
quantification and qualification data in text, xml, excel or
custom format
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Two images overlay with warping and registration
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Scattered correlation plot associated with 2D image and 3D
spot profile
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Generate fold change in linear, log, and log ratio format with
composite and original spots images |
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Output can be sorted in any
order |
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Global and control point point normalization Scatter |
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