Semi-automated image analysis of gel electrophoresis of cerebrospinal fluid for oligoclonal band detection - Archive ouverte HAL
Communication Dans Un Congrès Année : 2016

Semi-automated image analysis of gel electrophoresis of cerebrospinal fluid for oligoclonal band detection

Résumé

Detection of oligoclonal electrophoretic bands in cerebrospinal fluid (CSF) is an important diagnostic tool for Multiple Sclerosis (MS). Electrophoretic profiles are difficult to interpret due to low contrast and artefacts. A semi-automated method to ease analysis and to reduce subjectivity is presented. The method sequentially converts color images to grayscale, realigns bands, removes artifacts, then converts 2D images to a signal, before detecting, thresholding and editing peaks to optimize profiles. Such treated profiles (21 positive and 15 negative) are compared to ground truth analysis of an expert biologist. 16 profiles over 21 are well detected positive and 12 profiles over 15 are detected negative, results seem similar to inter-experts variability reported in literature.
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Dates et versions

hal-03738428 , version 1 (26-07-2022)

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S. Boudet, L. Peyrodie, G. Forzy, Z. Wang. Semi-automated image analysis of gel electrophoresis of cerebrospinal fluid for oligoclonal band detection. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Aug 2016, Orlando, United States. pp.744-747, ⟨10.1109/embc.2016.7590809⟩. ⟨hal-03738428⟩

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