Automatic analysis of agarose gel images

Motivation: Automatic tools to speed up routine biological processes are very much sought after in bio-medical research. Much repetitive work in molecular biology, such as allele calling in genetic analysis, can be made semi-automatic or task specific automatic by using existing techniques from comp...

Full description

Bibliographic Details
Main Authors: Adiga, P, Bhomra, A, Turri, MG, Nicod, A, Datta, SR, Jeavons, P, Mott, R, Flint, J
Format: Conference item
Published: 2001
_version_ 1797088807548354560
author Adiga, P
Bhomra, A
Turri, MG
Nicod, A
Datta, SR
Jeavons, P
Mott, R
Flint, J
author_facet Adiga, P
Bhomra, A
Turri, MG
Nicod, A
Datta, SR
Jeavons, P
Mott, R
Flint, J
author_sort Adiga, P
collection OXFORD
description Motivation: Automatic tools to speed up routine biological processes are very much sought after in bio-medical research. Much repetitive work in molecular biology, such as allele calling in genetic analysis, can be made semi-automatic or task specific automatic by using existing techniques from computer science and signal processing. Computerized analysis is reproducible and avoids various forms of human error. Semi-automatic techniques with an interactive check on the results speed up the analysis and reduce the error. Results: We have successfully implemented an image processing software package to automatically analyze agarose gel images of polymorphic DNA markers. We have obtained up to 90% accuracy for the classification of alleles in good quality images and up to 70% accuracy in average quality images. These results are obtained within a few seconds. Even after subsequent interactive checking to increase the accuracy of allele classification to 100%, the overall speed with which the data can be processed is greatly increased, compared to manual allele classification.
first_indexed 2024-03-07T02:55:22Z
format Conference item
id oxford-uuid:af16bb33-f14b-46cd-83c2-70ca7aaecf88
institution University of Oxford
last_indexed 2024-03-07T02:55:22Z
publishDate 2001
record_format dspace
spelling oxford-uuid:af16bb33-f14b-46cd-83c2-70ca7aaecf882022-03-27T03:47:18ZAutomatic analysis of agarose gel imagesConference itemhttp://purl.org/coar/resource_type/c_5794uuid:af16bb33-f14b-46cd-83c2-70ca7aaecf88Symplectic Elements at Oxford2001Adiga, PBhomra, ATurri, MGNicod, ADatta, SRJeavons, PMott, RFlint, JMotivation: Automatic tools to speed up routine biological processes are very much sought after in bio-medical research. Much repetitive work in molecular biology, such as allele calling in genetic analysis, can be made semi-automatic or task specific automatic by using existing techniques from computer science and signal processing. Computerized analysis is reproducible and avoids various forms of human error. Semi-automatic techniques with an interactive check on the results speed up the analysis and reduce the error. Results: We have successfully implemented an image processing software package to automatically analyze agarose gel images of polymorphic DNA markers. We have obtained up to 90% accuracy for the classification of alleles in good quality images and up to 70% accuracy in average quality images. These results are obtained within a few seconds. Even after subsequent interactive checking to increase the accuracy of allele classification to 100%, the overall speed with which the data can be processed is greatly increased, compared to manual allele classification.
spellingShingle Adiga, P
Bhomra, A
Turri, MG
Nicod, A
Datta, SR
Jeavons, P
Mott, R
Flint, J
Automatic analysis of agarose gel images
title Automatic analysis of agarose gel images
title_full Automatic analysis of agarose gel images
title_fullStr Automatic analysis of agarose gel images
title_full_unstemmed Automatic analysis of agarose gel images
title_short Automatic analysis of agarose gel images
title_sort automatic analysis of agarose gel images
work_keys_str_mv AT adigap automaticanalysisofagarosegelimages
AT bhomraa automaticanalysisofagarosegelimages
AT turrimg automaticanalysisofagarosegelimages
AT nicoda automaticanalysisofagarosegelimages
AT dattasr automaticanalysisofagarosegelimages
AT jeavonsp automaticanalysisofagarosegelimages
AT mottr automaticanalysisofagarosegelimages
AT flintj automaticanalysisofagarosegelimages