Image analysis for DNA sequencing

Kannappan Palaniappan; Thomas S. Huang

doi:10.1117/12.44310

1 July 1991 Image analysis for DNA sequencing

Proceedings Volume 1450, Biomedical Image Processing II; (1991) https://doi.org/10.1117/12.44310
Event: Electronic Imaging '91, 1991, San Jose, CA, United States

Abstract

There is a great deal of interest in automating the process of DNA (deoxyribonucleic acid) sequencing to support the analysis of genomic DNA such as the Human and Mouse Genome projects. In one class of gel-based sequencing protocols autoradiograph images are generated in the final step and usually require manual interpretation to reconstruct the DNA sequence represented by the image. The need to handle a large volume of sequence information necessitates automation of the manual autoradiograph reading step through image analysis in order to reduce the length of time required to obtain sequence data and reduce transcription errors. Various adaptive image enhancement, segmentation and alignment methods were applied to autoradiograph images. The methods are adaptive to the local characteristics of the image such as noise, background signal, or presence of edges. Once the two-dimensional data is converted to a set of aligned one-dimensional profiles waveform analysis is used to determine the location of each band which represents one nucleotide in the sequence. Different classification strategies including a rule-based approach are investigated to map the profile signals, augmented with the original two-dimensional image data as necessary, to textual DNA sequence information.

Citation Download Citation

Kannappan Palaniappan and Thomas S. Huang "Image analysis for DNA sequencing", Proc. SPIE 1450, Biomedical Image Processing II, (1 July 1991); https://doi.org/10.1117/12.44310

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KEYWORDS

Image analysis

Biomedical optics

Image processing

Image segmentation

Image enhancement

Distortion

Image filtering

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