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Image Analysis and Normalization

SilicoCyte™ is capable of automatic image analysis, requiring least amount of user intervention. SilicoCyte™ provides automatic, semiautomatic and manual gridding options to the user. Specific gridding mode used during image analysis depends on the quality of image imported into SilicoCyte for this process.

Quality control reports available in the software qualify the experimental data for next stage of data analysis. Quality control reports are generated based on the acceptance parameters set by the users according to their specific quality parameters of their experiment environment.

High level of automation and quality control reports add efficiency to the image analysis process.


Salient features of SilicoCyte's™ image analysis module are:

Automatic, Semi-automatic and manual gridding
Interface to popular scanner
Compatible with variety of microarray images
Normalization
          LOWESS Normalization
          Normalization by Mean
          Normalization by Median
          Normalization by Trimmed Mean
          Normalization by Percentile
          Normalization by Scaling Between 0 and 1
          Normalization by Subtracting the Mean
          Normalization by Subtracting the Median
          Normalization by Z-score
Export intensity data to MS-Excel, and ASCII text files
Quality control reports
User-configurable values for rejection thresholds of elements
Facility to invalidate bad elements/spots during image analysis