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Detection of a CDH1 Rare Transcript Variant in Fresh-frozen Gastric Cancer Tissues by Chip-based Digital PCR

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Digital Image Analysis for DETCHIP^® Code Determination.

Marcus Lyon¹, Mark V Wilson¹, Kerry A Rouhier²

¹Doane College, Department of Chemistry, 1014 Boswell Avenue, Crete, NE 68333.

Signal and Image Processing : an International Journal

|October 1, 2014

Summary

This summary is machine-generated.

Digital analysis of DETECHIP® molecular sensing arrays improves substance identification. Using digital images and ImageJ software provides more consistent and reproducible results than human vision.

Keywords:

DETECHIP®Image Analysis Molecular Sensing Array Narcotics Detection RGB Color Signal

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Area of Science:

Analytical Chemistry
Molecular Sensing
Digital Imaging

Background:

DETECHIP® is a molecular sensing array for substance identification.
Traditional analysis relies on subjective human visual interpretation of color changes.

Purpose of the Study:

To develop and evaluate digital image analysis techniques for DETECHIP® arrays.
To improve the objectivity and reproducibility of DETECHIP® analysis.

Main Methods:

Acquisition of Jpeg images using a digital camera and flatbed scanner.
Measurement of Red-Green-Blue (RGB) values using GIMP, Photoshop, and ImageJ software.
Development of an ImageJ macro for automated color change evaluation.

Main Results:

Flatbed scanners yielded clearer and more reproducible images compared to digital cameras.
ImageJ macro analysis demonstrated improved consistency over previous visual methods.
Digital image analysis offers a quantifiable approach to DETECHIP® data.

Conclusions:

Digital image analysis, particularly with flatbed scanners and ImageJ macros, enhances the reliability of DETECHIP® molecular sensing.
This digital approach overcomes limitations of subjective human visual assessment.
The developed methods provide a foundation for more robust and automated substance identification using DETECHIP® arrays.