Analysis of Embryonic Malformations in Zebrafish Larvae

Al-Saaidah, Bayan, Al-Nuaimy, Waleed ORCID: 0000-0001-8927-2368, Al-Taee, Majid ORCID: 0000-0002-3252-3637, Al-Ataby, Ali, Young, Iain ORCID: 0000-0002-9502-6216 and Al-Jubouri, Qussay (2016) Analysis of Embryonic Malformations in Zebrafish Larvae. In: 2016 9th International Conference on Developments in eSystems Engineering (DeSE), 2016-8-31 - 2016-9-2.

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Abstract

Zebrafish larvae has been widely used in testing the effect of chemical substances on the human body. Biological experts have been carrying out these studies manually with a relatively poor productivity. This paper proposes a high-throughput computer vision system to identify and classify embryonic malformations in zebrafish larva. The proposed system, which comprises at least 96-well plates, utilizes multi-classification features including shape, intensity, and texture features. A classifier based on artificial neural networks is utilized to address overlapping problems between different classes of the image dataset and thus improving the classification throughput and accuracy. The preliminary results of this pilot study showed a good performance and low recognition error of the classifier in which two classes were recognized according to the rounding shape of the larva.

Item Type:	Conference or Workshop Item (Unspecified)
Uncontrolled Keywords:	Classification, computer vision, embryo malformation, zebrafish larvae
Depositing User:	Symplectic Admin
Date Deposited:	19 May 2017 14:52
Last Modified:	19 Jan 2023 07:04
DOI:	10.1109/DeSE.2016.7
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3007560