Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Digital processing of cytogenetic images for their classification

Digital processing of cytogenetic images for their classification

Vera Laceiras, Silvia

Paperback

General Computers

ISBN10: 6204694723
ISBN13: 9786204694726
Publisher: Our Knowledge Publishing
Published: Aug 30 2024
Pages: 100
Weight: 0.35
Height: 0.24 Width: 6.00 Depth: 9.00
Language: English
The development of a bioinformatics tool to detect DNA nucleoids (with heads and tails) in fluorescence through image recognition, for their subsequent classification according to the comet assay technique, is presented. The aim is to automate and manage their storage, and to optimize the processes in the cytogenetics laboratory. For this purpose, possible methods to be applied are evaluated and those that combine mathematical and computational algorithms, neural networks and neuro-fuzzy system are selected. The developed method performs the detection and segmentation in the following steps: Pre-processing and initial segmentation of the raw image is carried out. The obtained fragments are classified by neural networks into three groups: head, tail and background. Finally the heads or kernels and tails are measured and re-analyzed, classifying them according to their ratio relationship. This process of detection, segmentation and classification was tested using the case study with cytogenetic images in comet assay of the Laboratory of General Cytogenetics and Environmental Monitoring of the Institute of Subtropical Biology UNaM-IBS-CONICET.

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